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sparkouttech · 1 year ago

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Technology in Smart Cities: apps, IoT and big data

Technology in Smart Cities: Apps, IoT and Big Data

Urban density is already 81% according to the latest World Bank data from 2019. As more people move to cities for better living and working opportunities, as well as connectivity, urban areas are developing rapidly . . . . As a result of this situation and the integration of technology into our lives, smart cities are emerging .

Of course this is not the first time you hear about Smart Cities, cities 4.0 or smart cities in Spanish, but do you know what Smart Cities are? Why are they called smart cities? Do you know any smart cities? Surely you have been in one without knowing it.

What about smart cities or smart cities?

The very first step is to answer the question of what smart cities are and why the term is being used so much in recent years. Smart cities stem from the need to solve the fundamental problems facing cities today.

From the increase in population as we mentioned above, to the increase in pollution, the lack of resources or the need to improve energy management.

By implementing software development services in Smart Cities we try to solve all these problems, becoming our best ally. Technologies ranging from developing mobile applications to connected devices promoting Internet access or big data inclusion.

In short, smart cities are smart cities based on the use of technology to provide improved sustainability, connectivity and flexibility, thereby increasing human living standards

Main keys that make a city smart

Why is a city considered a Smart City? All of this depends on the number of connected devices (Internet of Things) available, as well as the use that is given to them to improve the lives of citizens. Furthermore, data collection, sensors and smartphones play a key role in smart cities .

Using ICT technologies, automating processes, promoting urban mobility and sustainable transport, intelligently managing waste , applying technologies in the educational, health and commercial fields or using shared data are some of the main keys for a city to be considered a Smart City.

Technology in Smart Cities for their digital transformation

As we have said in this article, technology in Smart Cities is what makes them intelligent. But does any technology work? In this post we are going to tell you about some of the most used ones. From apps, Internet of things or big data . Let's see it!

Technology in Smart Cities. Mobile apps

Apps are one of the most widely used custom software development services in smart cities due to their potential for personalization and real-time collection of data and information. We know you use a lot of mobile applications in your daily life and we believe some of them are designed to improve your life in the city.

Among the technology in Smart Cities that we can find are those applications for public transport or those that search for parking in the city , apps for hiring rental vehicles (whether cars, scooters, bicycles, etc.) or even tools for tourism. or culture.

There are also applications more oriented towards citizen participation , such as those that allow voting or that function as a suggestion box, promoting transparency and accessibility to all citizens. This is a good way to bring people closer to the governments of each place.

Another type of applications that are being developed in cities are those related to the management of procedures with the administration. Being able to carry out transactions from your mobile phone without having to travel or make an appointment is one of the points to be improved by administrations.

As we see, through the development of mobile applications, people's interaction with the city and with the goods and services it offers is improved, and they can also provide suggestions, complaints or claims, making the system more transparent, accessible, secure and participatory.

Technology in Smart Cities. internet of things

Another technology in Smart Cities is the Internet of Things, which is based on the connectivity of different devices to automate tasks or do them from mobile phones. The Internet of Things is already increasingly used in homes. For example, having systems connected by voice, having house keys on your mobile phone thanks to NFC technology or controlling the temperature of a house from an app on your mobile phone is considered the Internet of Things.

In the case of smart cities it is not very different. Using IoT technology in Smart Cities provides data and information about how a city lives , movements, user data, etc. All of this serves to then adapt the goods and services offered to the needs of citizens and create new experiences.

Technology in Smart Cities. big data

One of the great advantages of technology is the ability to collect data, often even in real time, and to be able to see a history of it. The possibility of obtaining information, together with the interaction of people in smart cities, makes the use of big data essential to draw conclusions and make decisions .

The new data management and storage solutions, together with big data, allow us to know and analyze behaviors , being a great opportunity for administrations when creating or improving services to citizens.

Examples of Smart Cities

Finally, to finish this post, you are surely curious to know some of the Smart Cities in the world . Can you imagine what they could be?

Although there are more and more Smart Cities and cities where projects are carried out to make them a better place, the main Smart Cities in the world are New York, London, Singapore and Amsterdam.

They carry out digital transformation projects where they want to achieve better efficiency and analysis of what is happening in the city. Thanks to sensors that are installed in some of these cities, information is obtained about people's habits . They also operate in sectors such as health, transportation and energy.

On the other hand, we also find cities like Oslo or Tokyo whose focus is on sustainability and ecology. Through smart LED bulbs that adapt to the need for light or the use of electric vehicles, both cities are becoming great examples of Smart Cities.

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sparkouttech · 1 year ago

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2024 Trends In App Development: IOS And Android

In previous posts, I had explained what the trends in software development and the trends in the UX/UI field would be. Well, today it is the turn of the two great kings of app development: Apple and Android . It is my turn to analyze the 2024 trends in native app development . 2024 will be an exciting year, marking significant developments and breakthroughs that will change the way we think about and use native applications. From Kotlin extensions to the adoption of technologies like Virtual Reality (AR/VR) and Artificial Intelligence (AI), there are trends that, according to the Slash team, will be the first of this exciting project Here is a detailed analysis of the 19th century

2024 trends on Android

Kotlin 2: Taking programming to new levels

Kotlin's phenomenal rise in the Android space intensifies with the arrival of Kotlin 2. This new version, supported by the JetBrains team, introduces significant improvements through its K2 compiler. Additionally, cross-platform Kotlin development promises to export business logic to diverse environments, from Android to web programming and even iOS. With JetPack Compose and the replacement of Groovy for dependency management, Kotlin establishes itself as a powerful ally to simplify programming in the open source environment.

Android Instant Apps: Quick and Efficient Access

Android Instant Apps are gaining traction by allowing users to access the app's contents via a URL, eliminating the need to remove the installation. This functionality, which divides the app into modules, is especially useful for saving space on devices and providing a more convenient experience. Businesses, gaming and commercial applications find benefit in allowing users to explore products or enjoy functionalities without loading the entire application.

2024 Trends on iOS

Swift 6: Efficiency and ease in app development

Just as Kotlin evolves, Apple introduces Swift 6, designed to make app development for iOS devices more efficient and accessible . With new features and improvements, Swift 6 enables custom software development company to write code faster and more securely, encouraging diversity in creating innovative applications.

Wallet: Digitizing our wallets

Mobile wallets are a growing trend in iOS app development. With the increase in users who prefer to carry their cards on smart devices, Apple joins the trend, offering convenience and security. Growing post-COVID adoption drives the transition toward using smartphones to store cards, marking the decline of physical wallets.

iBeacon: Location-Based Notifications

iBeacon, using Bluetooth LE, has become common for sending signals to mobile devices. Apple makes it easy to integrate with a recent SDK, allowing developers to take advantage of this technology without having to write code. Although location-based notifications offer useful promotions and updates, some users may find the idea of sharing their location invasive.

Other 2024 trends in app development

AI, Generative AI and Machine Learning: Transforming the user experience

Artificial intelligence (AI) stands as a cornerstone in software development services in 2024 . Integrating AI and Machine Learning (ML) into Android and iOS apps powers features like image and voice recognition, voice assistance, predictive text, and more. From content suggestions on social media to personalized recommendations in commerce apps, AI significantly improves the user experience. Exemplifying this trend, Studio Bot in Android Studio offers support to developers, a sign of the growing impact of AI on software development.

AR/VR: Transforming our digital interactions

Virtual Reality (VR) is leaving an indelible mark on our digital and physical interactions. More and more apps are expected to adopt this technology, supported by frameworks like Apple's ARKit for iOS devices. From commerce apps that let you virtually try out products to immersive gaming experiences like Pokemon Go, VR is redefining how we collaborate, shop, learn and entertain ourselves.

Chatbot Adoption: Quick Responses for Demanding Users

Chatbots are experiencing exponential growth in apps like Starbucks, Duolingo, and Facebook. In response to the demand for quick responses and available customer support , chatbots are emerging as innovative, resource-saving solutions. This trend, focused on convenience and obtaining quick information, promises to improve the lifestyle of users as it continues to grow year after year.

In summary, the year 2024 brings us a vibrant panorama. Advances in app development by 2024 will range from the availability of programming languages to the adoption of technological change. The combination of Kotlin 2, instant apps, AI, AR/VR, chatbots, mobile wallets, iBeacons and Swift 6 creates a fascinating landscape that redefines the way we interact with technology. These trends will not only drive innovation but will also significantly improve the user experience in the vast universe of mobile applications. Get ready for an exciting year in custom software development services! And if you need help with the development, design or maintenance of your app, contact us!

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sparkouttech · 1 year ago

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SEO with AI: search engine optimization with artificial intelligence

With artificial intelligence you can save a lot of work time, also in search engine optimization (SEO). Whether you need to create metadata or content, search for topics or perform an analysis, with the right AI SEO tools you can easily achieve the success of your project.

SEO with AI: what exactly does it consist of?

In SEO with artificial intelligence, AI is used to apply measures that improve the positioning of your website. Therefore, the ability of AI to best understand user behavior and desires is crucial. The different AI tools for SEO make your SEO strategy even more effective, as they help adapt your project more efficiently to the target audience.

How to apply AI in the SEO of your website?

AI can enrich and improve your SEO strategy in many ways. First of all, you have to discover the existing potential . For your custom software development services to be successful, it is very important to publish content of interest to the target audience, which is based on a keyword strategy . This is where AI SEO tools start to come in handy, as they can show you, for example, which keywords and topics you may have missed. Another field of action of AI in SEO is to include link building suggestions . Among the optimization options that AI SEO tools offer are:

Content creation: do you already have the topics and keywords for your content strategy? AI tools for SEO, especially generative AI , can help you with content creation: create text with artificial intelligence text generators and use other similar tools to create videos with subtitles or transcripts, or generate and edit images and graphics for image SEO .

Content optimization: does your website already have enough content? With AI tools for SEO you can adapt it even more to the target audience. AI SEO tools help you set the perfect text length, evaluate its readability, or optimize meta information.

Voice Search Optimization – Searches are typically conducted via mobile devices. As voice search is becoming more and more relevant, so is voice search optimization . AI for SEO addresses this and helps you optimize your content so that it can be reached via voice search.

Improving user experience (UX): UX design is currently one of the most important disciplines for SEO. AI tools for SEO offer you valuable information and advice to optimize aspects related to page structure, navigation, usability or loading speed in the long term.

Automation of SEO measures: how effective is your SEO strategy? What content is working and what isn't? Is there duplicate content ? AI for SEO takes care of a series of daily tasks in this area and offers solutions that automate different steps.

Summary: The best tools for SEO with AI

Search engine optimization encompasses different actions. There are numerous AI tools for SEO that can support you in carrying out different tasks. Below we list the best AI solutions that you can use in your daily work.

Phrase

Frase is a powerful tool for keyword research and content optimization. This tool is used both to find ideas for new content and to analyze existing texts. To do this, Frase analyzes the best search results and, from them, creates complete reports. In addition, the software allows you to analyze existing texts and offers suggestions on topics and keywords with potential not yet used.

Frase also includes its own AI text generator . In addition to creating suitable titles, you can also create, if necessary, full texts . You can even have the AI SEO tool create content instructions from the text titles.

The Frase trial for five days costs around 1 euro. Afterwards, a paid subscription is required. The “Solo” package, available for around 14 euros per month, is limited to four SEO-optimized texts per month. Only with the “Team” package, available for more than 100 euros per month, you have an unlimited number of texts at your disposal.

Advantages

Keyword tool and text generator

Helps throughout the creative process

Disadvantages

High monthly costs

Maximum three users

ChatGPT

ChatGPT is probably the best-known AI tool for creating text and programming code. Although using it requires a certain knowledge of prompt engineering , once you understand how to enter the instructions, the limits of this tool are practically non-existent. With one-click prompts, ChatGPT also offers hundreds of predefined commands and the ability to store your own prompts.

ChatGPT's SEO possibilities are not limited to the creation of optimized texts: structured data or metadata such as titles and descriptions can also be generated. Additionally, ChatGPT, thanks to its large database, is an excellent source for researching new topics and content formats.

Although ChatGPT can be used for free , in this case it only offers access to an older version of the program. To work with more recent data and functions, you must join the “Plus” option, with a price of about 18.20 euros per month. However, due to high demand for applications, you will first need to sign up for a waiting list. Meanwhile, custom software development company and other businesses can contact the support of this AI SEO tool and get a customized ChatGPT business solution.

Advantages

Large database in constant growth

Free use possible

Disadvantages

The level of customization of the texts is not very high

Often slow due to high traffic

Ahrefs: free AI writing tools

Singapore-based software company Ahrefs offers a suite of free AI writing tools . Among other things, these tools can be used to rephrase sentences or write summaries . However, the most interesting things for SEO with AI are the tools for creating meta-information and the tools for paraphrasing.

With the title and meta description generator you can generate search engine optimized metadata . To do this, just specify the topic or the main keyword. Meanwhile, with the image alt text generator, you can get alt text suggestions for any image or graphic. The video script generator creates transcripts in no time for YouTube, TikTok or Instagram videos.

Ahrefs AI SEO tools are free to use . However, in most cases, it is better to take the results as a source of inspiration, since the generated texts are usually not very personalized.

Advantages

Free

Variety of practical SEO tools

Disadvantages

Often the results are not very personalized

MarketMuse

MarketMuse is an SEO tool with artificial intelligence focused on content planning and optimization. The AI begins by analyzing the most important topics for your website and, from this, generates a comprehensive content plan that includes topic clusters and market analysis. This way you can quickly know what is missing at that moment and what steps need to be prioritized.

MarketMuse can also be used to prepare the content you want to generate. The AI creates a list of keywords and creates first drafts for the briefings that writers will use to create search engine optimized content. Additionally, the AI SEO solution provides improvement suggestions for existing articles, so content is always up-to-date and useful.

To test the advantages of MarketMuse, you can use a trial phase for one week. Next, you will have to pay to be able to use the AI suite for SEO: “Standard” (1 user, 100 queries) is the cheapest with a price of 130 euros.

Advantages

Accompany you throughout the content creation process

Disadvantages

High price

Does not integrate CMS or e-commerce systems

Market Brew

Market Brew 's artificial intelligence SEO software allows you to check the effect of your SEO measures at any time and accurately. With the tool, you can create your own search engine to use as a testing machine for your website . Market Brew uses machine learning to do this, constantly incorporating new algorithms to always be ahead of real search engines.

Market Brew allows you to carry out classic A/B Testing tests for adaptations to the SEO strategy. In this process, the AI SEO tool not only tells you which variant is best, but also shows different optimization options with advice on internal and external links, structured data and keywords, as well as the level of authority and uniqueness. of your website.

AI SEO testing with the Market Brew platform is always subject to a fee. These software development services are always adapted to your needs, so there are no specific prices or plans. Those interested can contact the Market Brew team to try and purchase the tool.

Advantages

Live SEO test

Live search engines one step ahead

Disadvantages

Price upon request

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sparkouttech · 1 year ago

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10 reasons why you should choose an Open Source solution for your company

Today, there are multiple reasons that we could include in this post to see what are the reasons that lead a company to choose an open source solution for its IT infrastructures.

But why are companies increasingly opting for Open Source solutions? In this article, we’ll explore the ten key benefits of using the open source solutions for custom software development services and other businesses that we consider most appropriate. Although cost is an undeniably important reason in business decisions, we chose to address it last on the list. This is because, although it is an important factor for decision makers, we want to emphasize that it is not the only reason to consider when choosing an open source solution

The 10 reasons to choose an Open Source solution are:

1. Quality

As open source projects gain popularity, more people contribute to improving stability, finding and fixing bugs, and improving the interface.

2. Benefits

With a high level of maturity, open source solutions already cover all the features that proprietary solutions can cover.

3. Security and transparency

Security is more mature in the open source environment. Allowing frequent reviews of the source code by the community allows vulnerabilities to be identified and fixed in a timely manner. Additionally, the insights of open source allow organizations to audit the software themselves, increasing confidence in the security of the system

4. Quick renewal

Open source developers do not start from scratch, but rather improve, renew or innovate on an existing common basis. The difference is that traditional software vendors build and develop their products from scratch and “in house”, whereas in open source you can rely on the solution to improve and tailor it to your needs

5. Scalability

The biggest difference between traditional proprietary software and open source projects, in terms of scalability, is in their approach. While proprietary software tends to be aimed at a specific market segment, open source solutions are “built” based on customer requirements. This inherent adaptability of open source solutions allows for more precise adjustment to the changing needs of organizations as they grow and evolve.

Open source solutions are also distinguished by their iterative development methodology. This approach allows for constant renewal and gradual improvement in the functionality and performance of the solutions. Unlike the rigid release cycles typical of proprietary software, open source solutions have the flexibility to evolve.This agility results in the rapid addition of new features, performance improvements and bug fixes, in direct response to changing market demands and user needs.

6. Personalization

The most obvious advantage. Having access to the code allows you much greater freedom when creating your custom solutions. Organizations can fine-tune the software to exactly fit their specific workflows and requirements. This not only results in greater operational efficiency, but also drives internal innovation by allowing software development services to create unique solutions that perfectly align with their business objectives.

7. Collaboration

Open source simplifies the process because it allows competing companies to collaborate with each other, saving time and money when they have multiple companies working on the same project

8. Standards

Open source solutions tend to follow industry standards rather than focusing on commercial agendas. This reduces dependence on individual vendors and avoids vendor lock-ins, which is often associated with proprietary solutions. Adopting smart standards also promotes interoperability and seamless integration with other solutions, resulting in greater flexibility and efficiency.

9. Innovation

Before, open source was behind proprietary software and today it not only sets the trend but the proprietary software itself, in many cases, follows open source. The cloud , mobility, Big Data, Internet of Things and the Web itself are driven by high-profile open source projects. Even in more advanced technologies like virtual reality, the main competitor in virtual platforms is open source.

10. Cost

Between the purchase price of the software itself, the exorbitant cost of virus protection, support fees, update fees, and the costs associated with being locked out, proprietary software is costing businesses more than it may seem. . Open source has better cost adaptability and allows the solution to be tested internally before disbursement.

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sparkouttech · 1 year ago

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Django vs Laravel - Which is the better framework?

Django vs Laravel, choosing between these two frameworks can be difficult when running a project, and both stand out as two of the most popular. Python-based Django is known for its responsiveness and speed of deployment, while PHP-based Laravel is praised for its elegance and expressiveness.

Django vs Laravel: What are they?

Before getting into the matter, we will see what each of these frameworks are and their usefulness.

What is Django?

Django, developed by the Django Software Foundation in 2005, is an open source web development framework that is recognized for its excellence in developing complex web applications they are created together, with the clean and efficient also design It is unique for development.

Based on Python, a programming language prized for its clarity and simplicity, Django has become a favorite for developing advanced applications, especially in areas such as artificial intelligence and machine learning

Django’s scalable and robust architecture makes it easy for custom software development company to build and maintain large applications. Its modular design and available third-party packages allow for efficient customization and expansion to suit the specific needs of each project.

Django: Key Features

Open and Economical Source:

Being an open source tool, it is completely free. This quality represents a significant advantage, especially in terms of reducing development costs. Its accessibility is simple: you just need to download and install it to start working, making it easy to adopt for a wide range of projects.

Security and Scalability:

Security is a priority in Django, including built-in measures such as CSRF and SQL Injection attack prevention, making it a reliable choice for projects of any scale. Plus, its modular design allows for effortless scalability. Individual Django components can be modified or replaced as needed, ensuring continued adaptability as project needs grow and evolve.

Simplicity and Efficiency:

This system stands out for its simple and easy-to-read rules, making it particularly friendly to new users.

This simplicity is essential when developing applications in complex environments, particularly those based on extensive databases. In addition, its integrated administrative interface allows efficient management of site tasks, optimizing the developer's workflow.

Integrated tools:

Django stands out for having integrated tools, including advanced email systems, intuitive administration panels, and powerful data analysis tools and verification systems. This integration of essential functionalities not only facilitates the efficient management of complex web projects, but also significantly reduces the time required for development and coding, allowing software development services to focus on more innovative and specific aspects of the project.

Fast Performance:

Adopting the Model-View-Template pattern, Django facilitates fast and efficient processing, which is essential for smooth streaming over the Internet. This architecture, combined with high-speed and reliable servers, ensures optimized performance and fast loading times, which is crucial to maintaining user satisfaction and operational efficiency.

Compatibility:

It stands out for its compatibility with microservices architecture, a feature that gives it flexibility to adapt to constantly evolving projects. This compatibility allows for a fast, versatile and secure implementation, facilitating the scalability of projects by dividing them into microservices with specific functionalities. This modular division makes Django ideal for projects that require adaptability and continuous growth, ensuring optimal and sustainable performance in the long term.

Use Cases and Communities

Sites like Instagram and The Washington Post have been built using Django, demonstrating its ability to handle heavy traffic and complex data. The Django community is large and active, offering a large number of packages and extensions.

What is Laravel?

Laravel, developed by Taylor Otwell in 2011, is a web development framework that revolutionized the PHP community with its focus on clean, readable code Through its architecture based on the Model-View-Controller ( MVC) model therefore, provides a structured and consistent framework for building web applications.

Additionally, Laravel is built on some of the most robust parts of the popular Symphony framework, giving it a strong foundation and an impressive array of features

This combination has made Laravel a preferred tool among PHP developers looking for efficiency, scalability, and an intuitive development experience.

Main Features

MVC architecture:

Laravel adopts the Model-View-Controller (MVC) architecture, a structure that enhances its performance and security. This organization facilitates the efficient integration of diverse functions, optimizing both code management and user experience.

Restful drivers:

Laravel enriches the developer experience with its RESTful controllers, which make it easy to cleanly and effectively separate logic to handle different types of requests, such as POST and GET . This feature allows developers to better structure the handling of HTTP requests, ensuring cleaner organization and more maintainable code for web operations.

Template engine:

stands out for its advanced template engine, which offers a wide range of dynamic and efficient templates. Using a sophisticated data model for view generation, it transpires templates to cache code, significantly improving performance. This functionality not only makes it easy to create dynamic websites, but also provides flexible control structures and efficient internal handling of conditional statements, enriching the development experience and end-user interactivity.

Integrated tools:

For developers of all levels, from beginners to experts, Laravel offers an arsenal of built-in tools that strengthen and simplify writing complex applications. With its pre-built extensions, high-quality libraries, and community resources, Laravel makes it easy to review and improve development approaches. Its featured tools include Laravel Debugbar for debugging, Laravel Tinker for interactive experimentation, Laravel Socialite for social authentication, etc., each designed to optimize different aspects of application development and maintenance.

Compatibility:

Laravel stands out for its improved compatibility thanks to Artisan, its built-in command line interface. Artisan is a tool for creating custom commands, making it easy to generate code that automatically follows naming conventions, interfaces, namespaces, and boilerplate structures.

This approach ensures that the generated code complies with Laravel best practices and standards, allowing developers to focus on the unique logic of their application, while the basic schema and structure are handled efficiently and consistently.

Application logic:

The application logic is handled either through detailed route declarations or by using controllers. This structuring allows clear and effective management of the application flow. Furthermore, the syntax used to define the application logic in Laravel bears similarities to that of the well-known Sinatra framework, making it intuitive and familiar to developers who already have experience in this coding style.

Use Cases and Communities:

Laravel is widely used by users such as Toyota Hall of Fame, BBC, Lenovo, Wikipedia, Asgard CMS, among others.

Django vs Laravel: Differences

Type of web framework

Django is based on Python and Laravel is based on PHP.

Ease of learning

Django is easy to develop and learn, even for beginners and Laravel has a steep learning curve with many exceptions and code complexities.

Performance

As Django is based on Python, it is a high-performance web framework with good speed and performance. It helps developers speed up the web development process by quickly compiling code execution. It also allows you to identify and debug problems in your code.

Laravel offers a wide range of built-in features, which is useful, and in turn results in slower performance. Developers need to find other ways to speed up the app development process.

Application architecture

Django uses the Model-Template-View (MVT) architecture. The critical components of this design pattern are: model, view and template.

Laravel uses the Model-View-Controller (MVC). It has three parts: model, view and controller. In web application development, this design pattern handles specific processes.

Scalability

Django is one of the most scalable web frameworks. It works perfectly with different technologies like CDN solutions, cloud computing, etc.

Laravel offers less scalability than Django, but is still useful for growing businesses that don't need greater scalability in the early stages.

Security

Django is a more secure web framework that leverages an authentication system to verify and manage user passwords, IDs, and accounts Cybersecurity issues such as cross-site requests, XSS, clickjacking, spoofing, etc. are likely to be reduced.

Laravel also uses some security techniques like salted and hashed passwords and “Bcrypt Hashing Algorithm”. It can also protect users from issues such as XSS, SQL injection, data interception, harmful cookies, etc., to a certain extent. But Laravel still offers less security than Django by default.

Microservices support

To offer more versatility, greater built-in security, and rapid deployment, Django supports microservices.

Like Django, Laravel also supports microservices. However, it requires Lumen – a lighter version for implementation.

REST API

Django does not have built-in API support. Therefore, a library is needed to implement this feature.

Laravel supports the built-in API, and queries return JSON by default.

Django vs Laravel: Which is best?

When it comes to choosing between Django vs Laravel, the decision is not as simple as saying which is absolutely better. Both frameworks have unique features and specifications that are perfectly tailored according to the needs and preferences of the developer, as well as the context of the project.

With their own strengths and functionalities, Django and Laravel have proven to be effective in different areas of the industry, as evidenced by numerous use cases.

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sparkouttech · 1 year ago

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Advantages of cloud computing

Cloud computing has revolutionized the way companies use the computer system. Hardware is no longer purchased or operated in-house. Instead, XaaS (X-as-a-service) models are used. Software development services are rented on the basis of hardware and virtualized operating systems . Cloud computing makes it possible to store and process data, as well as host applications and interfaces. In short, cloud computing offers many advantages, but it also has some disadvantages.

Advantages of cloud computing in economics

For many organizations, the immediate benefits of cloud computing are economic . There are also other advantages, which we will discuss below. It is always advisable to weigh the pros and cons of using the cloud. When considering the economic advantages, one must distinguish between using a public cloud and a private cloud . The first can be used immediately without large acquisition costs. The second, on the other hand, requires an investment to create its own structures.

Better products and services

For most companies, technology is a means to an end. Actual products and services are usually not technological in nature. For these companies, the ideal is for technology to become invisible. The cloud makes this possible.

The use of cloud computing allows companies to pay less attention to technical aspects. In this way, all the effort can be applied to the main tasks of the company . This translates into better products and services and greater efficiency. A greater proportion of the resources used directly contributes to success.

Imagine a large bakery chain. You may need IT capacity for logistics, sales, marketing, etc. Instead of operating your own servers or data centers, using cloud resources can be a good option. The exception is companies dedicated to technology . For these, it can be positive to build and operate their own resources. Still, private cloud solutions can also be attractive today.

Greater flexibility

The use of cloud computing allows for greater flexibility. The necessary IT infrastructure is immediately available and can be expanded as needed. In this way it is easy to act immediately on possible improvements and risks. Traditionally, investments in IT infrastructure in a company led to a new permanent technological state. This continued for quite some time, since large investments had to be made to implement new custom software development services.

Cloud computing allows changes to be applied more quickly. Companies can adapt to the market without having to plan, approve and build infrastructure . By eliminating these long and costly processes, technology directly serves the implementation of the strategy.

Lower costs

The use of cloud computing usually reduces costs. This is because the acquisition and operation of IT infrastructure is largely eliminated . It is only necessary to acquire “thin clients” for employees. In most cases, any modern device with a web browser is sufficient. Saving on own hardware is accompanied by a rationalization of IT staff. Additionally, the focus shifts away from maintenance and network technology to more direct employee support.

Cloud services scale based on load. Therefore, there is no need to maintain the company's excess capacity. Whether renting additional servers or increasing existing ones, this is all done automatically or with one click. The use of cloud computing is especially attractive for new companies. Saving on your own hardware reduces the initial capital needed . A new company may initially rent infrastructure and services on a small scale. As the company grows, the services purchased can be expanded.

More sustainability

When used to the fullest, cloud computing also brings sustainability. Sharing large data centers in the cloud is more efficient than managing individual data centers in individual companies.

Large data centers have better options for waste heat management and on-site power generation . As an example we can consider the data centers in Iceland that use geothermal energy. It's also easier to recycle old equipment when purchasing new hardware. In general, the use of virtualization reduces the need for individual devices.

Advantages of cloud computing in organization

The economic advantages achieved through the use of cloud computing apply to the entire company. But there are also many benefits within the organization. Digital technology is the backbone of communication and data exchange in companies like custom software development company and others.. Cloud computing allows departments and employees to work together faster, more reliably and easily.

Consistent data management

With cloud computing, organizations try to achieve consistent data management. The term “data” has been on everyone's lips in politics and business for years. Decision makers often wrongly assume that more data automatically leads to more profits. However, data is only useful if it is managed sensibly . Otherwise, you'll be left with a lot of not-so-useful data. Without sound management, data is more of a burden than a benefit.

The intelligent use of cloud computing helps to apply uniform solutions throughout the company for storing and evaluating data . On the contrary, using isolated organic solutions can easily lead to chaos. Different data management approaches used in parallel tend to accumulate large amounts of dark data . This data, which exists outside of intended systems and processes, is a liability.

Largely, web-based formats, user interfaces, and APIs are used to manage data in the cloud. These are usually based on open interfaces. In this way, it is clearer what data is located where and how it is accessed. However, for optimal data management, employee participation is essential. No technology, no matter how sophisticated, can replace well-defined processes and good documentation.

Best collaboration

If data and services are hosted in the cloud, access is usually through web interfaces . This makes it easy to access for employees working from anywhere. Whether it's field staff, people working from home, or digital nomads, they're all using the same web-based workflows and tools they're familiar with. If necessary, a company-owned virtual private network (VPN) can be used as an intermediate option.

The basic tool for accessing cloud-based services is the web browser . Only simple hardware is needed for its operation, even a tablet can be enough. Mobile devices are cheaper, easier to maintain and more portable than traditional desktop computers. Most data is stored in the cloud and not on the device itself. Cloud storage often creates automatic backups and revisions when data changes. This reduces the risk of employees inadvertently causing information loss.

Advantages of cloud computing in security

Security and data protection are important issues in the digitalized society. The use of the cloud is usually advantageous in this regard. However, precisely this idea is difficult for many people to understand, because the cloud is “invisible.” Where exactly is the data located? Viewed objectively, the cloud offers numerous advantages in terms of security and data protection . As always in computing, it must be taken into account that “there is no magic”. The advantages of technology demand that it be used with attention and care, also and especially when it comes to the topic of cloud security .

Greater data security

Data has become a highly contested commodity. Criminals are dedicated to stealing data to misuse or sell it. In addition to the users directly affected, the companies involved may also be harmed. There are significant fines as well as legal consequences . Many times, the worst consequence is the loss of customers, a tarnished image or the loss of customer trust due to data leaks and hacks.

Large cloud providers use resources to protect themselves from hackers and other attackers. They use their departments with the best specialists and the latest technology, aspects that a small company cannot achieve. Another advantage of using the cloud is the standardization and certification of the systems used . If you build your own infrastructure, you have to certify it in a very expensive way. This makes subsequent system adjustments difficult, as the certification process may need to be repeated.

Better data protection compliance

Since data is invisible, data protection is often a difficult issue. The company is always responsible for protecting the data collected. The best ways are to build data protection into the structures from the beginning . A laudable goal, but a big job for one company. It is easier to rely on established cloud systems.

Cloud providers' systems are certified according to official standards. Providers go to great lengths to ensure compliance, with their own legal department and technology and security experts . This guarantees a high degree of reliability.

More reliable disaster recovery

In computing, the term “disaster recovery” refers to a rescue process: if a catastrophe occurs, how do you return to the original state? With the cloud, disaster recovery is usually easier, faster and cheaper . What was previously only possible for large companies is now available to the general public.

Cloud providers rely on globally distributed systems. The data and services are available in multiple copies. This means that there is no “single point of failure” , that is, there is no Achilles heel that takes down the entire system. Thus, even if a server or data center fails, there is usually no permanent loss of data or capacity.

The intrinsic scalability of cloud services allows rapid response to failures . Backups integrated into the infrastructure allow data to be restored.

Advantages of cloud computing in technology

In addition to the economic and organizational aspects already mentioned, there are also purely technological advantages. Ultimately, the cloud is based on technological progress . Thus, the technologies used also determine the opportunities.

Optimized big data management

Big data management poses serious challenges to organizations . When we talk about big data , we are effectively talking about large amounts of data. It can easily be a petabyte (thousands of terabytes) or more. Cloud computing offers many advantages in these cases.

Capturing, storing, processing and retrieving large amounts of data requires special infrastructure. The implementation of this system is very expensive for a company. In many cases, it is more attractive to use existing XaaS solutions from large vendors. A characteristic of big data is that it often integrates large amounts of data in a short time. Therefore, it is very important to be able to easily increase storage and computing capacities . This is usually only possible with cloud solutions.

Better DevOps

Another type of specialist is involved in modern development projects, in addition to programmers and project managers: the so-called DevOps engineers. The main goal of DevOps is to provide and maintain in place the structures for the development and operation of software . The use of cloud technologies is essential for this.

The development of cloud computing took place alongside the fusion of approaches for its development and implementation . Above all, emphasis was placed on container-based virtualization. In this way, the software is developed in a local environment and subsequently executed in a distributed system in the cloud. The basic technologies are similar in both cases. With the cloud, however, the approaches become more powerful and, above all, can be expanded.

Passionate developers often want to use the latest technologies for their projects . However, traditionally the obstacle was that the necessary structures had to be created within the company first. This obstacle largely disappears when using the cloud. This makes it easier for companies to stay up to date. This is an attractive advantage that helps accelerate development projects and attract talent.

What disadvantages does cloud computing have?

Like any technological innovation, cloud computing also has disadvantages. If the services and infrastructure are rented and not exploited by the company itself, there is a dependency on the suppliers involved . For companies focused on technical products, the loss of control this entails may not be beneficial.

To some extent, vendor lock-in approaches protect against the dreaded “infrastructure as code . ” This means that it is still possible to change providers or move to your own private cloud. In so-called multi-cloud and hybrid cloud, systems and data are distributed across several private clouds and public clouds . This helps reduce dependence on individual providers and maintain sovereignty over one's own data.

Cloud computing provides businesses with an unprecedented level of flexibility. However, keeping up with technological development also creates great pressure . New methods and approaches are constantly added. The technology used today may become obsolete after a few years.

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sparkouttech · 1 year ago

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These are the advantages of applying artificial intelligence in companies

From chatbots that improve customer service, to advanced algorithms that optimize business operations, to name a few quick examples. AI is not a mere science fiction fantasy and has become a useful and agile tool, also for the business world.

Artificial intelligence plays a major role in learning. Analyzing data and making decisions which has transformed the way companies work and compete in the marketplace.

This technology in sectors such as software development services has been shaping the business future for some time now and we are going to show you with concrete examples in different fields. The next few years are going to be key, and businesses that adopt AI strategies effectively can gain a very significant advantage over their competitors.

Many entrepreneurs, CEOs and directors of certain entities are aware of this and have already begun to value the implementation of artificial intelligence in their operations to stay at the forefront in an increasingly digitized and competitive world.

What is AI

Artificial Intelligence (AI) is used to adapt new data and perform human-like tasks, which is an interdisciplinary field of computing that allows machines to learn from experience (Machine Learning), adapt to new data and perform human-like tasks.

And it does so through pattern recognition , information processing , problem solving and decision making similar to how humans do.

In this sense, AI encompasses various subfields, such as machine learning , natural language processing ( NLP), computer vision , and robotics.

In the business field, it has begun to be used to automate tasks, choose the best solution to a problem based on certain stored data and improve operational efficiency. The adoption of all these tasks has grown significantly in recent years and this trend is expected to continue in the future very exponentially.

Advantages of artificial intelligence for companies

Implementing artificial intelligence in any company can offer a series of significant benefits. We break down the most notable ones:

· Repetitive tasks are very tedious tasks for employees. AI can be used to automate repetitive and monotonous work and free the employees so that they can focus on creative tasks. Therefore, AI can handle data management, customer service, accounting, and many other tasks.

· It can analyze large amounts of data in real time and provide valuable information for decision making. This facilitates predictive analytics to identify trends and opportunities, allowing them to opt for informed and strategic solutions.

· Improvement of customer/user experience. AI facilitate customer satisfaction by providing fast and accurate responses to their query using chatbots and virtual assistants. It is also used to reduce service cost.

AI plays a mjor role in identifying inefficiencies in the business process and provide solutions which in turn reduce operation cost and also increases efficiency

· Personalization of products and services. By analyzing customer behavior and preferences, companies can tailor their offers individually, increasing the loyalty of their users.

The challenges of this technology in the future business sector

Despite all these advantages that we have mentioned, every technology usually presents some drawbacks or challenges to solve. These are the most notable challenges facing the application of artificial intelligence in business:

· Although automation can improve efficiency and productivity, it can also lead to job losses in certain areas. It is important that companies prepare for these changes and provide training and skills development to their workers to adapt them to new roles.

· They must also ensure that data collected and used by AI systems is protected and used ethically.

· Artificial intelligence algorithms can be affected by the inherent biases of the training data , and may not cause discrimination.

· Companies must take responsibility for the decisions AI systems make and be willing to correct any errors or negative impacts.

Some examples of its impact in different sectors

· Marketing and Advertising Uses in audience segmentation, content personalization and optimization of advertising campaigns to reach the target audience more effectively.

· Human Resources These departments use AI to select candidates, manage talent and automate administrative tasks, or even to predict employee turnover.

· Logistics and transportation Used to optimize inventory management, route planning and fleet management to reduce logistics costs and improve efficiency.

· Finance and accounting This technology is useful for fraud detection, risk analysis management and prediction of financial trends to improve investment profitability, in addition to automating routine accounting tasks.

· Health Uses in medical diagnosis, drug discovery and medical records management

· Retail sector Also in this area, AI helps personalize the customer experience and improve operational efficiency, thanks to the analysis of purchase data and the offering of personalized product recommendations.

How to successfully integrate AI into your company

Successful integration of artificial intelligence into a business requires careful planning and a clear understanding of both the benefits they produce and the challenges they face.

Below, we break down some key steps that a custom software development services usually takes when implementing AI in a company:

1. Identify the areas that would benefit from the application of artificial intelligence such as marketing, logistics or human resources departments, among others.

2. Research and choose the most appropriate AI tools for the custom software development company for each need. Thus, hiring experts in the field or working with external IT consultants can be considered..

3. By clear policies and procedures AI ensures data privacy and security to protect privacy and comply with the law.

4. In order to adapt changes in the workplace and to be benefited by the opportunities provided by AI training and skill development for each employee should be given.

5. Continuously monitor and evaluate the impact of this technology on the company.

Companies that prepare for AI-powered automation processes and provide training and skills development to their employees will be better able to adapt to changes in the workplace and take advantage of the opportunities that this discipline offers, and will provide later.

And this is always easier with a technological partner that goes hand in hand with you as you implement this technology, and improve and grow in your business.

#artificial intelligence #custom software development company #software development services #software development company

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sparkouttech · 1 year ago

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These are the advantages of applying artificial intelligence in companies

Artificial intelligence plays a major role in learning. Analyzing data and making decisions which has transformed the way companies work and compete in the marketplace.

What is AI

And it does so through pattern recognition , information processing , problem solving and decision making similar to how humans do.

In this sense, AI encompasses various subfields, such as machine learning , natural language processing ( NLP), computer vision , and robotics.

Advantages of artificial intelligence for companies

Implementing artificial intelligence in any company can offer a series of significant benefits. We break down the most notable ones:

AI plays a mjor role in identifying inefficiencies in the business process and provide solutions which in turn reduce operation cost and also increases efficiency

· Personalization of products and services. By analyzing customer behavior and preferences, companies can tailor their offers individually, increasing the loyalty of their users.

The challenges of this technology in the future business sector

· They must also ensure that data collected and used by AI systems is protected and used ethically.

· Artificial intelligence algorithms can be affected by the inherent biases of the training data , and may not cause discrimination.

· Companies must take responsibility for the decisions AI systems make and be willing to correct any errors or negative impacts.

Some examples of its impact in different sectors

· Marketing and Advertising Uses in audience segmentation, content personalization and optimization of advertising campaigns to reach the target audience more effectively.

· Human Resources These departments use AI to select candidates, manage talent and automate administrative tasks, or even to predict employee turnover.

· Logistics and transportation Used to optimize inventory management, route planning and fleet management to reduce logistics costs and improve efficiency.

· Health Uses in medical diagnosis, drug discovery and medical records management

How to successfully integrate AI into your company

Successful integration of artificial intelligence into a business requires careful planning and a clear understanding of both the benefits they produce and the challenges they face.

Below, we break down some key steps that a custom software development services usually takes when implementing AI in a company:

1. Identify the areas that would benefit from the application of artificial intelligence such as marketing, logistics or human resources departments, among others.

3. By clear policies and procedures AI ensures data privacy and security to protect privacy and comply with the law.

4. In order to adapt changes in the workplace and to be benefited by the opportunities provided by AI training and skill development for each employee should be given.

5. Continuously monitor and evaluate the impact of this technology on the company.

And this is always easier with a technological partner that goes hand in hand with you as you implement this technology, and improve and grow in your business.

#custom software development company #artificial intelligence #software development services #software development company

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sparkouttech · 1 year ago

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What is big data and what is its importance?

Big data helps companies make decisions more quickly, efficiently and without complications, in addition to identifying new business opportunities.

Big data describes large volumes of data, difficult or impossible to process through traditional methods, which are used to obtain ideas and make better business decisions. No matter what sector they belong to, it is increasingly common for Colombian companies to resort to the analysis of their data to help them opt for smarter strategic moves, but what is big data and what is its importance?

This term big data, refers to data sets or combinations of data sets whose volume, variability and speed of growth make it difficult to capture, manage, process or analyze them in a conventional way within the time necessary to that are useful.

Defining at what size a data set is considered big data is not very clear and continues to change with technological advances, but most analysts and professionals refer this way to packages that start at 30-50 terabytes and They can reach several petabytes .

What is the importance of big data ?

What makes big data so useful to companies is the fact that it provides answers to questions they didn't even know they had, giving them a point of reference. With that much information, the data can be generated or tested as the organization sees fit.y

Searching for trends within data allows organizations to make decisions more quickly, smoothly and efficiently . Additionally, it allows them to eliminate problem areas before they destroy their profits or reputation.

This analysis also helps organizations identify new opportunities , which, in turn, leads to smarter business moves, more efficient operations, higher profits, and happier customers. Although each sector presents different benefits, in general the information obtained from data analysis allows :

Reduce costs. Big data technologies and cloud-based analytics bring significant cost advantages when it comes to storing large amounts of data and identifying more efficient ways of doing business.

Detect fraudulent behavior.

Make smart decisions and reduce their time. The speed of analysis, mixed with the ability to examine new data sources, means organizations can make decisions based on what they have learned.

Determine the root causes of failures, problems and defects in almost real time.

Develop new products. With the ability to assess customers' needs and satisfaction comes the power to give them what they want. This means that it is possible to create new items to respond to those requirements.

Optimize offers. Big data makes it possible to predict how buyers will behave in the future based on their past behaviors, so you can set informed offers and save money.

Generate coupons for customers at the point of sale based on their purchasing habits.

Have a greater knowledge of the market.

Competition monitoring. Big data provides greater insight into and anticipation of competition.

Information in real time. Outdated information has no applicable value in the present and even less in the future, which is why the daily data collection provided by these software development services allows for feedback almost at the moment.

Areas of application of big data

Marketing and sales

The data allows us to know the tastes, preferences and behaviors of customers, as well as using predictive models so that organizations can know the acceptance of their products.

Tourism

Customer satisfaction in this industry can be difficult to measure, particularly in a timely manner. Big data analytics gives custom software development company the ability to collect customer data, apply analytics, and identify potential issues on the spot before it's too late .

Sports

Professional teams can make use of big data to define the strategies to use in each match, prevent player injuries and know the preferences of the fans.

Health care

Patient records, histories, health plans, insurance information, genetic coding and other types of information can be difficult to manage, but they are full of key information. Its analysis facilitates diagnoses or treatment options almost immediately.

Telecommunications

Some telephone operators use this custom software development services to implement strategies that reduce portability and attract new customers.

Cities

The use of data allows traffic flows to be optimized based on information that arrives in real time, social networks and the weather. Thanks to big data , traffic signals and traffic lights can act automatically to minimize traffic jams .

As you can see, currently the use of tools and languages such as Python, R, Spark, Hadoop, MongoDB, Cassandra, Neo4J, Redis, Power BI, Qlik Sense and Tableau, among others, is essential for companies, public organizations and institutions , since they help in matters ranging from decision making to increasing productivity.

Big data has very broad applications and organizations must take advantage of them to stay ahead in the business world . The data is there, but if it is not analyzed and used, an important window of opportunity to increase competitiveness and grow is being wasted.

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sparkouttech · 1 year ago

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How to choose the right technology for your App?

Do you need to develop a mobile application? Don't know whether to choose native or hybrid technology? Is the price the only difference or are there more aspects to consider?

It may seem like a simple decision, but it is not exactly like that. The software development services you choose will define many things about your final application, and will have a direct impact on your users' experience. And at this point, you cannot fail.

To be native or to be hybrid: that is the question

There is an ongoing debate surrounding mobile app development. When choosing, this is our first recommendation, always focus on your users and give them the best experience. Nobody has time for bad experiences. The success of your application depends on this.

So, let's talk in detail about native and hybrids . Are you ready?

Advantages and disadvantages of native applications

Native mobile technology refers to the creation of applications suitable to run on specific mobile operating systems. The most common native programming languages are Objective-C or Swift for iOS and Java or Kotlin for Android.

These are the advantages of choosing native technology:

Advantages of native mobile applications

– Greater performance and speed: they are faster than hybrid applications.

– The use of mobile phone hardware is more efficient because it is accessed and used through the device's native functions of the selected operating system.

– Intuitive to use: These apps tend to have a consistent look and feel with most other native apps on the device. Therefore, users find them easier to navigate and use.

– More security: your levels of control and authorization over API calls to and from the server are better.

– Responsive, high-performance applications.

– They can interact with native libraries.

– They work offline: you can use them even if you are not connected (it happens often, believe me).

– Better user experience: due to all the previous advantages and, in addition, because they quickly access and use the integrated capabilities of the user's device such as the calendar, camera or GPS.

– Testing for developers is simpler: you can test more thoroughly.

– They have access to all the advanced functions of native devices.

– Its better distribution in application stores improves its discoverability.

But of course it also has some cons:

Disadvantages of native mobile applications

– Its development is expensive.

– They only work on one platform.

– They require more resources from the developer.

– Less code reuse.

– Its development takes a lot of time.

– Require frequent updates.

– They must be recorded into a different language to port them to a diverse ecosystem of devices.

– Your upfront expenses are more expensive compared to hybrid applications.

– They are not the best option when developing simple applications.

Advantages and disadvantages of hybrid applications

Now it's time to talk about hybrid technology. Mix of native apps and web apps is hybrid app. Therefore, many mistakenly describe them as websites packaged in a native wrapper.

Languages like JavaScript, HTML5, and CSS are used for hybrid app development and hybrid app framework such as Flutter, React Native, Ionic, Xamarin, or Cordova re used

Let's see them.

Let's start on the positive side and talk about the advantages of this technology.

Advantages of hybrid mobile applications

– Achieve greater developer productivity thanks to cross-platform compatibility.

– They reduce development costs because they are easier to build, require less development time, and only require one code base for multiple platforms.

– They do not need a web browser like web applications.

– They have access to internal APIs and device hardware.

– need a single code base for multiple platforms.

– They reach a broader audience through various platforms.

– Easy to launch and update.

On the other hand, we have the disadvantages:

Cons of Hybrid Mobile Apps

– The user experience is never as good as that of a native app.

– Lower performance.

– Lower speed.

– Less flexibility.

– More user interface design time.

– Limited tools.

– Test complexity: This is because they share a lot of code between platforms and some of that code is often native to take advantage of the underlying hardware.

– They depend on a third-party platform to deploy the application wrapper.

– They are not convenient when more customization is needed. In this case, native apps are more efficient when it comes to reducing costs.

4 tips for selecting the right technology for your application

Product lifespan: If you plan to develop a long-term mobile application (for example, mobile banking), native development frameworks and tools are more stable.

Performance and user experience: This should be one of your top priorities. Regardless of the custom software development services you choose, your users' experience must be excellent because it is the key to the success of an application. According to this, native applications ensure the best user experience, but require more development time. On the contrary, the user experience of hybrid applications is less, but the development time is shorter than that of native ones.

Access to hardware resources: Native technology is the option when the application requires complete access to all the resources and services of the target device. If not, hybrid technology is also a good option.

UI/UX Design: (In general) native apps offer more impressive visuals and exceptional UX, but hybrid apps can also do a good job.

So, the final decision is…

When the moment of truth arrives, you have to decide. Each client has their reasons for choosing one path or another, but their impact on the final product must be clarified.

We are a custom software development company, obsessed with quality and specialized in mobile apps and unique user experiences. We create world-class digital products for startups and companies, with the aim of transforming their businesses.

#software development company #custom software development company #software development services

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sparkouttech · 1 year ago

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Django vs Laravel - Which is the better framework?

Django vs Laravel: What are they?

Before getting into the matter, we will see what each of these frameworks are and their usefulness.

What is Django?

Django: Key Features

Open and Economical Source:

Security and Scalability:

Simplicity and Efficiency:

This system stands out for its simple and easy-to-read rules, making it particularly friendly to new users.

Integrated tools:

Fast Performance:

Compatibility:

Use Cases and Communities

What is Laravel?

Additionally, Laravel is built on some of the most robust parts of the popular Symphony framework, giving it a strong foundation and an impressive array of features

This combination has made Laravel a preferred tool among PHP developers looking for efficiency, scalability, and an intuitive development experience.

Main Features

MVC architecture:

Restful drivers:

Template engine:

Integrated tools:

Compatibility:

Application logic:

Use Cases and Communities:

Laravel is widely used by users such as Toyota Hall of Fame, BBC, Lenovo, Wikipedia, Asgard CMS, among others.

Django vs Laravel: Differences

Type of web framework

Django is based on Python and Laravel is based on PHP.

Ease of learning

Django is easy to develop and learn, even for beginners and Laravel has a steep learning curve with many exceptions and code complexities.

Performance

Laravel offers a wide range of built-in features, which is useful, and in turn results in slower performance. Developers need to find other ways to speed up the app development process.

Application architecture

Django uses the Model-Template-View (MVT) architecture. The critical components of this design pattern are: model, view and template.

Laravel uses the Model-View-Controller (MVC). It has three parts: model, view and controller. In web application development, this design pattern handles specific processes.

Scalability

Django is one of the most scalable web frameworks. It works perfectly with different technologies like CDN solutions, cloud computing, etc.

Laravel offers less scalability than Django, but is still useful for growing businesses that don't need greater scalability in the early stages.

Security

Microservices support

To offer more versatility, greater built-in security, and rapid deployment, Django supports microservices.

Like Django, Laravel also supports microservices. However, it requires Lumen – a lighter version for implementation.

REST API

Django does not have built-in API support. Therefore, a library is needed to implement this feature.

Laravel supports the built-in API, and queries return JSON by default.

Django vs Laravel: Which is best?

With their own strengths and functionalities, Django and Laravel have proven to be effective in different areas of the industry, as evidenced by numerous use cases.

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sparkouttech · 1 year ago

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The 10 big technology trends that you should take into account for 2024

2023 has been just the beginning of a revolution called artificial intelligence that will change all sectors of activity. It won't be the only technology that will have a big impact. What awaits us in 2024?

1. Advanced, generative and reliable AI

AI is like having a super intelligent personal assistant available 24 hours a day, making us more efficient, faster and productive even in complex tasks. Throughout this review of trends we will see their effect and application in a multitude of productive sectors and use cases. Generative AI can help people free up time to leverage their human and differential skills by allowing them to delegate some of their everyday mental work, such as obtaining information, scheduling, managing compliance, organizing ideas, and structuring projects. Leading custom software development company and other companies are already taking proactive measures to secure their perimeters and assets, including their reputation and corporate responsibility, and tools are emerging to help identify false or harmful content. The application of Blockchain as a traceability and transparency tool will also be key to supporting trust and security schemes in the use of AI.

2. The simplification of 'cloud computing'

Today, low/unregulated tools open the way for non-technical people to build applications that previously would have required highly skilled software programmers Similarly, cloud service providers "democratize." " deployment and management of cloud services and infrastructure by eliminating the need for advanced technical expertise. In addition to creating drag-and-drop interfaces and natural language tools, serverless technology is a type of cloud computing service that eliminates the need for companies to have their own dedicated servers . Instead of paying for the number of servers needed to host their infrastructure, as in a typical cloud service, the company only pays for the resources it actually uses This improves efficiency by avoiding costs when the server is not controlled by the user and saves the company time to focus on its core activities.

3. Cyber resilience, the evolution of cybersecurity

Cyber resilience goes beyond cybersecurity, as it includes measures to recover and guarantee activity when the defenses of the critical business applications and processes of companies or public organizations are violated, reaching circumstances beyond our control . To try to deal with this type of situation, it is necessary to combine cybersecurity solutions and physical procedures or technological solutions that have not normally been considered as elements of cybersecurity. Automating cyber defense through generative AI and machine learning and awareness of human elements, from social engineering attacks to controlling public relations or reputation fires, are also essential elements of any cyber resilience strategy. Thus, by 2027, it is estimated that 45% of chief information security officers (CISOs) will expand their competencies beyond cybersecurity , due to growing regulatory pressure and the context of potential risk in which we live.

4. The ubiquity of edge computing

Edge computing is a way of using the cloud that involves processing data close to where it is generated . An example could be a device that measures temperature in real time and detects irregularities. Since most of the data you collect would be "normal" temperatures, it would be inefficient to send it all to the cloud for analysis and then return it to the user to tell them that everything is normal. In 2024, with the emergence of new smaller, more energy-efficient processors, more memory-efficient algorithms and advanced networks like 5G Stand Alone will help make EDGE much more widespread for more applications.

5. Network API-fication: OpenGW

The opening of the network capabilities of telecommunications operators via API ( application programming interface ) is already allowing both the most advanced telecommunications operators and software development services to capture great potential in a market that will generate new sources of income. significant. Network API-fication, that is, exposing the capabilities of operators' networks , allows their own internal teams and external partners to access network systems in a controlled manner, to create new services and cases. use that generate new business opportunities.

It is an idea that some of the main telecommunications operators are beginning to implement, as is the case of the OpenGW (Open Gateway) initiative. Open Gateway is a multi-teleco initiative led by the GSMA that transforms telecommunications networks into developer-ready platforms , opening up all the power of the network for the creation of new products and services in different industries: fintech , communications, gaming , entertainment , etc. This initiative will allow telecoms to become the best allies for the creation of new digital services, accelerating and transforming development and innovation.

6. Quantum computing: the practical application arrives

For a couple of years we have also seen the growing presence of a term that will also change technological development in the coming years; quantum computing . Quantum computers can perform multiple calculations simultaneously by exploiting complex concepts in quantum physics such as entanglement or quantum superpositionThis allows them to operate using quantum bits (qubits) that can exist in multiple states simultaneously, rather than a state of one or zero, like traditional computer binary bits. Some of the most direct applications of quantum computing are quantum cryptography , that is, the creation of security schemes and systems that take advantage of quantum properties to guarantee the security and privacy of communications at levels much higher than those we offer today. with traditional systems.

7. The evolution of the network: AIOps and NetOps

Telcos are also accelerating their digital transformation with AI and cloud-native technologies, which also change the way they monitor network performance. Using Cloud Native allows you to simplify network operations and integrate cloud services into workflows. As a result, network deployments become more distributed and dependent on automation tools. But this also means they need a different way to monitor performance, such as using AIOps and NetOps. AIOps uses artificial intelligence and related technologies , such as machine learning, to manage IT operations. By using observability and algorithmic analysis of IT data, AIOps helps IT and network operations find and fix problems before they impact services and customers. In short, AIOps can reduce operational costs, foster innovation, improve employee productivity, and evolve the overall customer experience. On the other hand, NetOps applies the flexibility of DevOps to manage, grow and scale network management capabilities . NetOps tools monitor service infrastructure, as well as hardware components , by automatically collecting data on the state of the network and its different layers. NetOps enables faster, more agile network deployments and configurations, continuous updates, proactive/predictive resolution (with AI), and faster issue resolution.

8. Use digital to simulate the real, and vice versa

We see it every day, we have it more and more present: the real and the digital are increasingly intertwined . For a few years now, technologies such as augmented reality (AR), virtual reality (VR) or mixed reality (MR) and their applications are breaking down barriers between the physical world and the digital domain where we increasingly have more interactions, relationships. and transactions. We can say that we “exist” as digital avatars within virtual environments, both on a professional level, where we work remotely and virtually with colleagues using communication or collaborative tools such as Teams or Slack, and in gaming , where we play online with people. thousands of kilometers, or even in the most personal sphere, where on social networks we create a representation of our real life through a digital sample and the relationship with virtual alter egos.

This can be as simple as an individual component (eg an engine part) or as complex as a factory, a city or a complex biodiversity ecosystem. The digital twin is built from data captured from its real-world counterpart , one of the many applications of what we know as the Internet of Things , which also relies on the ubiquity of high-speed connectivity. performance (eg 5G) which, in addition, in implementations in the form of private networks, whose level of implementation will grow enormously in 2024, are beginning to be a very important tool in industrial environments and offer the possibility for humans and robots to work collaboratively or even autonomous. We are already seeing examples of hyper automation of production and various analysts predict that by 2028, there will be more intelligent robots than frontline workers in sectors such as manufacturing or logistics.

9. The evolution of 'e-health' thanks to AI

AI in all its aspects is one of the great advances of recent decades and if we talk about practical application and with almost universal benefit we have to talk about its application to health . Health systems are a basic element in the quality of life of any human ecosystem, so everything that promotes their advancement and access to them must be a priority for any society . In 2024 we will continue to advance in such interesting areas as remote patient monitoring through the use of connected sensors that will give us real-time information on how the patient's biorhythms behave and evolve. And this is where AI will play a key role, based on the information reported by these devices, to be able to evaluate the patient's overall health status , predict their evolution and prescribe guidelines that reverse any possible negative evolution and thus enhance positive guidelines. Additionally, generative AI is transforming the execution of clinical trials by creating “synthetic patients . ” The researchers continue to design the study in much the same way as before, recruiting people for the treatment being studied, but with the difference that a control group (participants receiving an experimental treatment) may not be human. They will be virtual representations of humans (similar to the concept of a digital twin), generated by an AI that has examined the medical records of a large, diverse and sufficiently representative patient population.

10. Fight FOBO ('fear of being obsolete')

Lately, different concepts associated with the psychological condition of people and their relationship with technology have emerged; We have FOMO ( fear of missing out ) or fear of missing things by not being connected and its antithesis JOMO ( joy of missing out ) enjoying missing things , in the sense of enjoying being disconnected without the fear of more important things happening. . And along these lines comes a new concept: FOBO ( fear of being obsolete ), fear of being obsolete that can apply, of course, to people, but also to companies.

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sparkouttech · 1 year ago

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Electron: what it is and how to create applications using this framework!

One of the concerns when developing a desktop application is the operating system on which it will run, as there are fundamental differences between them. The Electron framework offers a simpler way to develop cross-platform applications and solve this challenge.

Electron allows you to use all the resources of a web application , such as the numerous JavaScript frameworks available, including Bootstrap and React . Therefore, it is worth understanding how this technology works.

What is Electron?

Electron is a cross-platform framework developed by GitHub . The first version was developed in 2013 which allows development of desktop applications using HTML,CSS, Js and other technologies used in custom software development services.

To do this, Electron uses Chromium, an open source version of the Chrome browser. The idea is that the developed application runs on it as if it were a web application. In addition, Electron also uses Node.js , a component that offers additional features to access internal operating system functions, such as allowing access to directories and files.

To ensure device security, common web applications cannot use operating system resources. This is a way to protect your computer from improper operations by malicious websites, for example. Electron, however, allows this interaction. Because of this, it is a tool that can be used to build desktop applications.

It is important to say that Electron allows the generation of a distribution package , that is, the entire application developed is compiled and transformed into versions to run on different operating systems, including: Windows, Linus and macOS.

How did Electron come about? Discover the story!

Electron appeared in April 2013. The creation of this framework is attributed to Github , but specifically to Cheng Zhao, an engineer on the team. The basic objective of the project was to create a platform capable of bringing together technologies such as HTML , CSS and Javascript in a single cross-platform editor. Back in the beginning, Electron was called by another name: Atom Shell.

The platform became open source in May 2014, under the MIT license. Electron js is currently maintained by the OpenJS Foundation , an organization that aims to support opensource projects based on Javascript, such as Electron.

Over time, Electron became even more popular. Several well-known applications today were developed with Electron, such as Skype, Twitch or the popular Whatsapp. You can see the full list of applications developed with Electron here .

Understand the Electron architecture!

The architecture of an Electron project is made up of three structures: main process, renderer process and communication between these processes . See the image below:

1. Main process

The Main Process is the main, single file. Through BrowserWindow instances, it can create application windows. To define the Main Process, a package.json file is first created and the Main Process is defined in the main property.

2. Renderer process

The Renderer Process is done through Chromium. Each Electron desktop window, that is, each web page, is rendered in its own process.

3. Inter-Process Communication and Remote Procedure Call

It is through RPC and IPC that communication is made between the main process and the renderer process. In other words, between .js parts and .html parts, already a result of the rendering process.

To compare these processes, look at this table:

What is Electron for? 4 Applications!

As we said, Electron is used to develop applications for desktops , which can either access local computer resources or use external data using APIs — Application Programming Interface . Therefore, it is a technology that offers countless possibilities for developing different types of applications. Check out some tools that were developed with Electron below.

1. Slack

Slack is a chat tool used by many companies for communication purposes. File sharing, voice and video calls, and much more features are provided by slack. Furthermore, it allows integration with various applications , such as Zoom , Google Drive, among others.

3. Hyper

Hyper is a command line interface for Windows, Linux and macOS platforms. Its objective is to offer a more beautiful and friendly interface to perform activities such as accessing remote servers and executing various commands.

4. Atom.io

Text editor developed by GitHub is Atom.io. It has numerous features such as installation of themes and plugins. One of its applications is for editing source code and offers support for several programming languages, such as JavaScript, C language , Ruby and much more.

What are the advantages of using Electron?

There are several benefits to using the Electron framework. Check out some of them below.

Enables the development of cross-platform applications

Any application developed with this framework will be a cross-platform Electron app. In practice, it doesn't matter if the software development services is in a Windows environment, because when creating the distribution package, we can indicate the platform on which we want to use the system .

Electron is an open source framework

One of the advantages of using Electron is that it is an open source framework . This means that there is no need to pay for a usage license, which contributes to reducing development costs. It also has a large community of developers who help with the development of the tool, as well as a forum to exchange experiences and clarify doubts.

Offers different forms of distribution

The developed applications can be compiled for distribution into packages using different available resources, such as electron-package or electron-builder , and installed using package managers, such as NPM. Furthermore, application updates are also carried out simply and quickly.

Uses web application technology

Applications developed in Electron use HTML, CSS and JavaScript. Therefore, it is possible to use many features of these tools in desktop applications, in addition to being better known among programmers . According to StackOverflow research from 2020 , JavaScript is used by 67.7%, while HTML and CSS are used by 63.1% of people interviewed.

Develop native applications

To use applications developed in Electron, you do not need to open a browser and access a specific website. Instead, they are installed on the computer as an Electron app and can be accessed from the Windows taskbar or the system on which it is installed.

What are the disadvantages of Electron?

Despite the numerous advantages, Electron also has its negative points. First, it's heavy. That is, it demands high memory and storage usage . Another factor is related to security .

Basically, Electron guarantees a high level of control for the developer, which can make everything even more secure, or vulnerable, depending on the level of knowledge of the person in question. Furthermore, due to the relationship with Chromium, when running on an older version of it, security gaps can be opened between this old version and what has already been fixed in the new one, which can be exploited by attackers.

Finally, a problem with Electron is its generic appearance and behavior . In general, Electron does not allow for a diversity of visual experience between platforms, that is, it tends towards standardization.

Discover some tools to use with Electron!

The platform also has several tools that make the developer’s work easier. Here we will talk about some of them:

Electron: relates to the installation of pre-built Electron binaries. For this, npm is used.

Electron compile : allows real-time compilation, that is, without pre-compilation.

Electron packager: command-line tool that packages (zip) files and distributes them.

Devtron: is the official DevTools extension. Devtron is used to inspect, monitor and debug the application. Among its features are graph display, IPC monitor, event inspector and App Linter.

Spectron : this tool works as a testing platform. To do this, use the Chrome Driver.

Libraries to use with Electron: Angular, React, JQuery, among others!

Furthermore, Electron also allows the use of several very popular libraries , due to their Javascript base. This variety of libraries provides the developer with a multitude of resources! Angular, React and JQuery are some of the possibilities . Without a doubt, it's worth getting to know React and the main Angular libraries better

Conclusion

As we have seen, Electron is multiplatform, practical and versatile, presenting several advantages. Now that you know what Electron is and all the possibilities that this open source framework offers, you can now explore the entire universe of electron js and become an even more complete developer!

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sparkouttech · 1 year ago

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What is DevOps?

DevOps is a collaboration methodology between Development and Operations departments to manage software development services. Between them, they cover the complete product cycle, guaranteeing faster and safer processes, as well as continuous deliveries and better quality.

Talking about DevOps is not talking about a specific tool, nor a specific language or technology, but rather a collaboration between Dev (referring to development) and Ops (referring to operations) based on the agile methodology. Because there is no 'standard practices' framework that defines DevOps, but rather each custom software development company uses different tools to automate their tasks and streamline processes based on their structure and conditions.

So can we consider DevOps as an agile methodology? Not exactly, but we can consider it as an application of Agile fundamentals, both in the Development and Operations sections. The difference in relation to the agile methodologies themselves is that these are implemented only in Development, while DevOps also affects the Operations department.

What is DevOps for?

The collaboration between departments that occurs with DevOps allows organizations to deliver good quality software at a faster pace than if they used traditional management practices and tools.

This results in better communication between teams and greater customer satisfaction . Because being fast and offering quality at the same time is possible. And DevOps proves it day after day.

The practice of DevOps enhances integration, collaboration, visibility and transparency between the application development (Dev) team and the IT operations (Ops) team.

But be careful! Although it may seem that DevOps is some kind of corporate or business objective, it is actually conceived as a philosophy based on practices that help an organization deliver applications and services at high speed.

How does DevOps work?

The fact that Dev thinks like Ops and Ops thinks like Dev allows teams to function more coordinated and with fewer blockages in the various stages of the product lifecycle . And, for example, that any change in a product goes to production as quickly as possible.

To do this, organizations adopt software development methodologies and practices such as Scrum, Kanban or Agile.

We could say that the leitmotiv of DevOps is continuity and, therefore, its operation is based on:

Continuous development.

Continuous testing.

Continuous integration.

Continuous delivery.

Continuous deployment.

Continuous monitoring.

Infrastructure as code.

The close relationship between Dev and Ops is present in all phases of the product life cycle: from initial software planning to deployment and monitoring. This type of relationship allows for continuous feedback from the customer to continue improving, developing, testing and deploying. In this way, we quickly and continuously reach those changes necessary to enhance agile and cooperative workflows and production.

DevOps Philosophy

The practice of DevOps translates into the promotion of business innovation and the continuous improvement of production processes. It means ensuring speed, security and quality in a delivery (but also when applying changes or additions) and in the launch of a product or updates.

Because DevOps allows you to easily find where the error is so that, without wasting a minute, the machinery gets started applying the necessary changes to solve it and, all of this, seamlessly. Therefore, the DevOps philosophy allows you to solve any problem more quickly and simplify and automate processes, while achieving greater scalability and optimization of resources.

To reach this point, we must pay special attention to feedback , to be able to make corrections, as well as assimilate the need for continuous experimentation and learning: repeating, practicing and learning from mistakes will be the key to excellence and success.

What tools do you use?

We talk all the time about streamlining workflows and the need for operations to be more collaborative, but we still don't know how and when to do it. Well, below we list what the phases of the DevOps life cycle are , since, through them, we will learn about some of the most popular tools in DevOps.

Plan: tools like Jira or Git allow us to track detected problems and manage the project. These tools will be key throughout the entire process, as they allow you to automate and 'pass tasks' from one to another without breaking the workflow. By the way, do you want to know what project planning is?

Coding: in this case, Bitbucket , GitHub or GitLab are some of the tools with which we can create code and design software collaboratively.

Build: Docker , Ansible , Puppet or JFrog Artifactory , among others, allow us to manage versions and compilations. Being able to release code and create packages with it helps maintain code consistency across different platforms and deployment environments.

Test: as we indicated previously, carrying out continuous testing is one of the keys to DevOps to guarantee quality in programming. Some of the tools that testing frameworks offer us and that we can use in this phase are: JUnit , Blazemeter or Codeception .

Deploy: Deployment involves the implementation of the management, coordination, programming and automation of the production of a product. Some of the most useful tools in this phase will be some of those we have already mentioned (Jira, Puppet, Ansible or Docker) and others such as Jenkins , Kubernetes or OpenShift.

Operate: in this phase, to manage the custom software development services during production, we can use tools such as the aforementioned Ansible and Puppet or others such as PowerShell , Otter or Salt.

Monitor: Monitoring the process will allow us to know where and when an error occurs in a specific version of the software in production. It will also help us know when and how to apply an operational change during the production process. In this phase we can use tools such as: Grafana , New Relic or Nagios .

Before getting into trouble, it is important that you look at the functionalities of each tool , since, sometimes, a single one can serve you for different phases of the DevOps cycle. Furthermore, observing how they can be integrated with each other will allow you to save a lot of time, resources and energy. Remember, agility and continuity, in addition to making a good rhyme, can and should be great friends.

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sparkouttech · 1 year ago

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PHP Frameworks: 5 options you need to know!

Frameworks exist to make developers' lives of custom software development company easier and this is no different with PHP Frameworks. They exist so that the PHP developer does not need to create a new feature or application from scratch when needed. It's as if the framework were a structure, a well-advanced basis of software, which gives you the possibility of great customization (in most cases). Frameworks, when used well, help to reduce the execution time of a project , as well as costs and, of course, increase the quality of an application.

If you are starting to develop in PHP, this article was made for you. We will present the main frameworks on the market, as well as their characteristics, use cases, pros and cons.

But first, what is the definition of a framework?

What is a Framework?

A framework is nothing more than a large panel of tools (or even a store), filled with ready-made functions, which can also be customized.

The reason a framework exists is: you don't need to develop anything from scratch if you don't want to.

Imagine the game The Sims — or, if you like football, imagine PES — I believe these are efficient analogies. Both The Sims and PES offer you a highly robust graphics library for building people. In these games, you will find a pack of different hairstyles, body types, and eye shapes. You don't create these elements of the human body from scratch, but there is a level of customization too.

Imagine now that The Sims is a PHP framework and PES is another. Both create fictional people.

Logically, The Sims will have some different options, such as clothing, while PES will have beard styles and greater member customization.

To choose the ideal one, the question is: what is your objective? Do you want to build a man, a woman, or a child?

The logic of the frameworks is the same. To choose the ideal framework, it is always interesting to carefully investigate the tools that each one has and, from there, analyze which resources will make your project more efficient and with better performance.

Let's start talking about them then, PHP frameworks 🙂

1. Zend

To begin with, the PHP Zend framework is open source and uses the MVC (Model View Controller) architecture. To use Zend, you need to have a good command of Object Oriented Programming , so if you already have experience with PHP programming you will have an advantage in using Zend.

Zend is also one of the most robust PHP frameworks on the market. This is quite notable due to the large number of resources that the framework has.

Oh, for those who don't know, Zend is also the maintainer of the PHP language. Did you feel the level of advantage? So it is.

Another very advantageous point about Zend is that many companies that have applications developed in PHP use the framework.

As it is a relatively new framework, Zend also does not have many certified professionals, which ends up creating an opportunity to qualify and have Zend on your resume.

Why use Zend?

Zend is very extensible . You have a huge range of things ready, but that doesn't mean you can't adapt them to your needs.

Zend is a high-performance framework . Its components and architecture provide high code quality;

If you want, you can use it to build both the back and front end of the application. Zend is fullstack. But, if you want, there is also the option of using only its components;

Zend is secure . The framework has encryption features;

Zend has one of the largest communities among frameworks. Support is highly active and, as it is open source, it guarantees constant evolution of the technology;

Zend Disadvantages

The learning curve for Zend is a bit long. There are many features, which makes the tool complex at first glance. If you want to create a project quickly, perhaps Zend shouldn't be your first option.

2. Laravel

There is no denying it and it is a fact: Laravel is one of the most popular names in the PHP framework market. Unlike Zend, Laravel is much more advisable for those who are learning.

Due to this essential characteristic, it has perhaps become one of the most used frameworks on the market (perhaps the most used).

Despite not being as robust as Zend, Laravel has all the features necessary to build a PHP application. It is also important to emphasize that Laravel does not lose anything in terms of employability.

Although Zend is a requirement for vacancies in large companies, Laravel is more common in small and medium-sized companies. We can also say that it is the PHP framework that opens the most doors when it comes to the job market.

Why use Laravel?

Like Zend, Laravel is open source and has a large community. This favors the constant evolution and support of technology;

Laravel has a low level of complexity compared to Zend and others. It is one of the easiest PHP frameworks to learn, although it is also robust;

Laravel has impeccable documentation . You can easily find everything you need;

Laravel has a command interface called Artisan Console. With Artisan you have several commands that make custom software development services much easier;

Laravel has an ORM called Eloquent. With Eloquent, you can create an application from scratch without having to mix pure SQL into the code;

Laravel Disadvantages

There is a consensus that, to use Laravel, the developer cannot use common hosting.

3. CodeIgniter

Like Zend, CodeIgniter also uses the MVC architecture. Going in the same vein as Laravel, it is also relatively simple to learn, compared to frameworks like Zend, for example.

Low complexity ends up becoming its biggest advantage.

Furthermore, its documentation is also super good, which makes learning easier and, consequently, reduces the delivery time of an application or feature.

It can work with simpler servers, unlike Laravel.

Why use CodeIgniter?

The MVC architecture favors scalability and reduces coding time , as it works with components for specific tasks;

Light and good performance . Despite having fewer features than other PHP frameworks on the market, CodeIgniter is still one of the best in terms of performance;

It can work with simpler servers , unlike some frameworks that are more complex in terms of resources. Furthermore, CodeIgniter also has high compatibility with servers;

CodeIgniter Disadvantages

In addition to losing resources to other PHP frameworks, CodeIgniter also has fewer updates for its product, which also means it has a lower level of security. This scenario is perhaps due to the fact that it has lost market share over the years.

4. Symfony

The Symfony PHP framework is also very popular and is therefore on our most used list. Symfony was born in 2005 and was designed for companies that work with agile development, precisely because of one of its strongest characteristics: modularity.

Just like CodeIgniter, Symfony is also a very flexible framework. Almost everything in Symfony can be customized.

Another super interesting point about Symfony is that the framework has a code testing feature, something that few PHP frameworks have.

There is no denying that Symfony is a framework suitable for more robust and large-scale projects. All this because its structure allows it to deal with software development services and work of this magnitude.

Why use Symfony?

Symfony is very flexible . Customize almost anything you want!

Good documentation and active community;

It also uses the MVC architecture, which, as we have already said, reduces scalability and coding time, as it works with components for specific tasks. Is modularity what you want? Here you can find!

Symfony Disadvantages

Symfony lacks performance, which may be associated with the level of customization it has. Symfony has a more complex learning process than other frameworks.

5. CakePHP

CakePHP was born in the 2000s and was one of the first MVC frameworks to hit the market. Because it is open source, its community is still super active and engaged.

Loved by some and hated by others, CakePHP is famous for putting an application live without the developer writing a single line of code.

And here's a fun fact: CakePHP was written in PHP, you know, right? The point is that CakePHP follows the concepts of the Ruby on Rails framework.

CakePHP is a lot of knowledge because it has a lot of code conventions. That is, it has its own mechanisms to help those who work with PHP, JavaScript, Ajax, HTML forms, etc.

Why use CakePHP?

Large component library;

Code convention . This can be considered both an advantage and a disadvantage, depending on your project and your objective, since the act of coding becomes very simple, but it also creates limits on the programmer's creativity;

It still has a very active community ;

Ease of learning . With this, the Programmer who uses it can also quickly run a feature or application. Although this has been seen as an advantage, some say that there are frameworks that are easier to learn than CakePHP;

It has support for MVC architecture ;

Resources to prevent cross site scripting (XSS), among other security measures;

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sparkouttech · 1 year ago

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Software development methodologies: What are they and what are they for?

The use of methodologies in business management is not new, but it has been updated in terms of the tools that are applied.

According to the study carried out by Gartner :

80% of large companies adopted agile methods for digital transformation processes during 2021.

That is why it is important that before executing a digital transformation project you take into account the following recommendations in this article.

What is a software development methodology?

A software development methodology is a set of practices, techniques, and tools used by software development teams to plan, design, develop, test, and deliver high-quality software in an effective and efficient manner

These processes establish the structure of the software life cycle, including requirements definition, design, coding, testing, implementation, and maintenance

They also establish roles and responsibilities for team members, processes for project management, communication and progress tracking.

What types of software development methodologies exist?

Traditional methodologies and agile methodologies are two types of software development methodologies. The characteristics of each of them are explained below.

Traditional Software Development Methodologies

Traditional software development methodologies are characterized by very rigidly establishing the requirements and processes at the beginning of the projects.

Consequently, programming or development cycles become inflexible, which prevents adequate adjustments throughout the life of the project.

Since a linear process is carried out in software development projects, each stage is shown one after the other, which prevents progress if the previous activity has not been completed.

Among these traditional software development methodologies the following can be mentioned:

Waterfall Method

This methodology makes it easier to organize the project activities vertically (from top to bottom) to sequentially execute each progress, avoiding moving on to the next if it is not satisfactorily completed .

It includes phases of requirements analysis, system design, program design, program modification, test design, ending with the software coding and maintenance phases.

Its relative advantage is that the transition from one level to another is done safely knowing that the previous stage has already been completed .

Prototyping Method

It is based on the creation of a draft of the software without regard to the details where users can give more direct feedback when interacting with the application in this phase .

This method allows us to verify possible technical failures, as well as the inclusion of improvements according to user use as it is quite interactive, although this implies an additional cost in the budget that must be seriously considered .

Incremental Method

It is similar to the waterfall because it works in phases, but this differs because in each stage an applicability or function is added .

Under this scheme you can significantly notice the improvement that you are making in custom software development services and it additionally allows you to verify the functioning of these processes before finishing the program.

Among the traditional methods, it is one of the most implemented, although it is also one of the slowest in the execution of processes.

Rapid Application Design (RAD) Method

RAD is more than anything a technique that allows software to be developed in a short time based on the following axes:

A prototype is created for users to test and to directly identify the needs and requirements .

Priorities are created according to the speed of execution of the activities .

It has a certain similarity to the prototype, except that in this model the processes are executed according to their speed.

COBIT

It is a globally recognized and accepted methodology in software development in technological projects due to its management in the management of information and process flow.

COBIT facilitates the development of policies and good practices in IT project control in companies, as it helps to understand, manage the risks and benefits associated with digital transformation processes .

ITIL

This methodology is made up of a series of standards and practices that are used to manage IT governance in the company .

These standards are useful in the execution, implementation and maintenance of software developments and operations related to the technological management of the company .

ITIL currently has its fourth version where it incorporates major changes applied to the technology industry in recent years.

Agile Software Development Methodologies

Nowadays, agile software development techniques are widely used because of their high flexibility and ability to change rapidly.

These strategies can be more productive and effective if the work groups have clarity about the tasks that need to be done at all times.

Additionally, it will provide the flexibility to adjust the software as new needs arise, resulting in building more functional and satisfying applications for users.

Agile software development methodologies are based on the incremental approach, in which new functionalities are added to the final application in each development cycle.

However, unlike traditional approaches, cycles in agile methodologies are shorter and faster. This implies that changes and improvements are made gradually, incorporating small functionalities instead of massive changes.

This approach allows the formation of self-sufficient and independent work teams , which meet periodically to share news and progress made.

In this way, the final product is progressively built and perfected. In addition, the agile methodology allows close interaction with the client , who can provide new requirements or corrections as the project progresses, since they can observe the progress made in real time.

DEVOPS

This technological work management methodology allows the integration of the Development, Operations and Security areas to guarantee the effectiveness of the application and obtain a better result .

This approach generates the optimal form of agility and speed of reaction in processes for software development, integrating cybersecurity standards into the project.

An advantage of DevOps is its ease of fusion and integration with other agile methodologies that are applied in your company, increasing the benefits of the business and of course the end customer .

AGILE

Agile or Agile Manifesto, is a methodological model that allows improving project planning and production of results in order to avoid the loss of time and resources in assigned tasks.

This method helps maintain orientation in the project guidelines without being as rigid as other traditional Waterfall-type methods.

By having the ability to make the best options in time without compromising the integrity of the project, its productivity increases, correctly aiming at the final objective.

Some advantages of Agile include:

Improves the quality of the final product by minimizing errors in the processes.

Generates employee satisfaction and team awareness.

It allows shortening production cycles by minimizing times.

It has a better allocation of resources, encouraging production.

SCRUM

SCRUM is a model that integrates a set of practices and roles in a framework, where the developer searches for a single product or service in a specific period of time.

The versatility of SCRUM allows projects developed with this methodology to be more adaptable, interactive, fast, flexible and effective.

A characteristic of this methodology is the very well structured and optimized division of tasks and roles.

Product Owner/Product Owner. He is responsible for the project in terms of development, maintenance and prioritization of tasks.

The Scrum Master. This is the person responsible for ensuring that the team's work is carried out according to the Scrum principles.

Development Team Members/Members of the Development Team. They are responsible for the development of each of the tasks.

Extreme Programming or XP

Extreme Programming is a methodology that allows improving efficiency in custom software development company, applying engineering practices in the creation of products.

XP competes very closely with Scrum in the IT environment , but has lost a bit of popularity in recent years while still being a successful methodology for technology businesses.

For its application you must previously define the four variables that the project has, which are Cost, Time, Quality and Scope .

The versatility of this method allows three of the variables to be set by people external to the development team, such as the client or the person in charge of the project (not development) . The other variable is under the responsibility of the IT department who sets its value to give it balance and the best decision making in the process.

This structure gives it a character of flexibility and shared responsibility that allows better action in the development of the software, since everyone is part of the result obtained in the end.

Kanban

The Kanban methodology comes from the management techniques used by Toyota to streamline production in its factories by minimizing errors and losses.

Generally, this method is represented in the form of a board where the flow of processes in a designated job is reflected, allowing each person in charge to move their tasks freely according to progress, thus generating greater confidence and control at a visual level.

This methodology has a series of principles that must be applied in order to achieve maximum performance in the workflow.

Visualize what it does . The visualization by all those responsible for the project in the flow of tasks allows them to remain attentive and informed about the development of the project.

Limit the amount of work in process . Establishing achievable goals allows the group a balance in the flow of work and prevents excessive processes centralized in a few people responsible.

Track time . Managing time in an organized manner allows you to obtain precise results in the project.

Easy reading of visual indicators . The visualization of the types of work, priorities, dates and other details empowers the team in developing solutions adjusted to reality.

Identify bottlenecks and eliminate what is disposable . The proper management of deadlines and execution cycles, as well as the flow of reports, allows the performance of the project to be evaluated and problems detected, eliminating everything that creates obstacles.

In summary

Software development services have become a necessity in the last decade due to the advantages it offers by adjusting to market needs through customized technological solutions .

For this, the factory software that you apply to these needs must be accompanied by the available methodologies that best suit the requested software development.

At Sparkout Tech Solutions we have managed to efficiently standardize these value propositions through our specialized technological resource where we focus on directing the results to the requirements requested by our clients.

Therefore, when it comes to advising you, we offer you the best tools for software development, which best fit the profile of your company.

At Sparkout Tech Solutions we innovate and create digital transformation processes to generate satisfied customers.

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sparkouttech · 1 year ago

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Impact of Artificial Intelligence on Software Development

For decades, scientists have tried to use artificial intelligence techniques and algorithms to provide computers with human-like knowledge and behavior. Although more sophisticated than traditional programming, the techniques used have focused primarily on manually growing and improving the system's knowledge base, which has always been limited. Limited domain knowledge has proven to be a poor substitute for human expertise; i.e. AI systems are only as good as their programming (done manually by a human)

The new approach is to build systems that learn from themselves, becoming experts that model and abstract rules from the data they are fed. These systems are improving in their precision, adapting to the unknown and expanding their capabilities beyond the original programming. Traditional techniques of natural language processing (NLP), rule-based reasoning, and knowledge representation are being augmented with machine learning—especially deep learning—to improve AI (see Figure 1). Preliminary results are promising: we are seeing new apps emerge with a certain “intelligence” in a wide variety of domains.

This wave of artificial intelligence will impact the work of software developers, so it is important to be prepared. In both the software development life cycle and in the application development developers must understand what these technologies are and how they can apply them.

Impact on the development cycle

Below we list some of the possibilities of artificial intelligence applied to software development:

Implementing software code in order to execute a business idea is a very hectic task, despite the improvements there have been in this area thanks to agile methods and business analysis practices. AI results in better code generators which will enrich requirements models and test cases with more sophisticated text recognition.

Improve the precision of estimates.The audit of software projects continues to be a complex and asymmetrical task, requiring the involvement of experts with extensive knowledge of relevant subject matter.Let’s think of it as an accounting software development services that analyzes historical data from past company projects to find statistics and relationships, and uses predictive analytics and business rules to provide accurate estimates of time and effort.

Make fault and solution tracing faster. When a system fails in production, teams spend a lot of time and effort re-creating these failures in order to identify and fix them, and often the team that did the development no longer has AI available.

Automate decisions about what to build and test next. A.I. This analysis of usage behavior can also be used to automate test scripts.

Impact on applications

A new generation of applications is coming to our computers, phones and devices that can talk, listen, feel, reason, think and act. The list of companies building AI-enriched applications is growing rapidly.

Here are some capabilities in next-generation applications made possible by AI:

Natural interaction with humans. Throughout the history of computing we have had to interact with computers through unnatural interfaces: punched cards, keyboards, mice, forms of capture, etc. AI is enabling computers to see and hear their users, in addition to responding via voice in natural language.

Expert systems. Coding domain-specific policies and business rules through traditional programming languages is a complex and effort-intensive activity. Artificial intelligence gives the option of building expert systems focused on a specific domain that can support novices in an activity or help managers in their decision making. Although expert systems are nothing new, until now we will begin to see them become popular, in addition to being enriched through deep learning.

Imitate typical human capabilities. A Brazilian mining company was looking to automate its inventory process and to do so it required being able to correctly identify a large number of train cars. He initially considered putting RFID tags on each car. However, he realized that all the cars are already visually identified with signs, so it was a better solution to use optical character recognition.

Software that learns by itself. Deep learning combined with big data is one of the technologies that will cause the greatest disruption in the applications we build. It will be very interesting to see what applications we will be building soon when unsupervised learning is available to everyone.

AI enables new types of applications

Thanks to artificial intelligence, we will gradually build unprecedented types of applications. Companies need to develop imagination and expertise to build these AI-enabled applications. Companies will adopt AI gradually. Forrester Research envisions this process as having 3 stages:

Make existing apps more “conversational” and fluid. Initially, AI experiments focus on adding “cool” things with a limited scope to improve user experience and interest.

Improve understanding, reasoning and decision making. Through an appropriate combination of data and ontologies enriched with machine learning algorithms, applications will have the ability to reason and deduce information.

Build apps that are more than just apps. Traditional desktop or web applications will gradually give way to bots and intelligent agents. Developers will no longer focus on programming them but on training them.

Conclusion

Custom Software development company need to develop capabilities in the field of artificial intelligence. Artificial intelligence will not replace the work of developers, but will enrich it. Creating AI-enriched applications as well as improving development processes through AI will require new skills.

I recommend avoiding the notion of the data scientist as someone super gifted with business domain knowledge, mathematical, analytical, programming and infrastructure management skills. It is more realistic to have people specialized in artificial intelligence (mathematicians) who collaborate with people specialized in data engineering (programming and infrastructure management).

The software development process is a candidate to be improved through artificial intelligence. However, for this to happen we require that the processes be defined and implemented. Mature organizations already have this and will be the first to reap these benefits, which in turn will allow them to build better software with less effort.

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