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webdeveloperssolutions · 2 months ago

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Is Python or C++ Better for Web Development?

When it comes to web development, choosing the right programming language is crucial for the success and efficiency of your project. Two prominent languages in the programming world are Python and C++. While both have their strengths, they serve different purposes and are suited for different aspects of software development. This article delves into the comparison between Python and C++ in the context of web development, highlighting their advantages, disadvantages, and suitability for building modern web applications.

Python: The Go-To Language for Web Development

Python has emerged as a popular choice for web development due to its simplicity, readability, and vast ecosystem of libraries and frameworks. Its design philosophy emphasizes code readability and developer productivity, making it an ideal language for rapid application development.

Advantages of Using Python for Web Development

Ease of Learning and Use: Python's straightforward syntax allows developers to write clean and maintainable code, reducing the learning curve for beginners and accelerating development for experienced programmers.

Rich Ecosystem: Python boasts a plethora of frameworks and libraries tailored for web development. Notably, Django and Flask are two widely-used frameworks that simplify the process of building robust web applications. Django, for instance, follows the "batteries-included" philosophy, providing built-in features like authentication, ORM, and admin interfaces, which expedite development and reduce the need for third-party tools.

Community Support: A large and active community means abundant resources, tutorials, and forums are available, facilitating problem-solving and knowledge sharing among developers.

Versatility: Python is not limited to web development; it's also extensively used in data science, machine learning, automation, and more. This versatility allows developers to integrate various functionalities into their web applications seamlessly.

Cross-Platform Compatibility: Python applications can run on various operating systems without significant modifications, ensuring broader reach and flexibility in deployment.

C++: A Powerful Language with Limited Web Development Use

C++ is renowned for its performance and control over system resources, making it a preferred choice for system programming, game development, and applications requiring high-performance computing. However, its application in web development is relatively limited.

Advantages of Using C++ for Web Development

High Performance: C++ offers unparalleled performance due to its close-to-hardware operations and efficient memory management, which can be beneficial for performance-critical components of web applications.

Fine-Grained Control: Developers have precise control over system resources, enabling optimization at a granular level, which is advantageous for specific backend services or modules requiring intensive computation.

Disadvantages of Using C++ for Web Development

Complexity: C++ has a steep learning curve with complex syntax and concepts like pointers and manual memory management, which can slow down development and increase the likelihood of bugs.

Lack of Web Frameworks: Unlike Python, C++ lacks mature and widely-adopted web development frameworks, making the development process more cumbersome and time-consuming.

Longer Development Time: The intricacies of C++ can lead to longer development cycles, which is a significant drawback in the fast-paced web development landscape where time-to-market is critical.

Limited Community Support for Web Development: While C++ has a strong community in systems programming, its web development community is relatively small, leading to fewer resources and support for web-specific challenges.

Comparative Analysis: Python vs. C++ in Web Development

FeaturePythonC++Ease of LearningHighLowDevelopment SpeedFastSlowWeb FrameworksDjango, FlaskLimitedPerformanceModerateHighCommunity SupportExtensiveLimited for web developmentSuitability for Web AppsHighly SuitableLess Suitable

From the comparison, it's evident that Python offers a more conducive environment for web development, especially for projects that require rapid development, scalability, and maintainability.

Real-World Applications and Case Studies

Many renowned platforms and services have leveraged Python for their web development needs. For instance, Django has been instrumental in building complex, database-driven websites efficiently. Its emphasis on reusability and "pluggability" of components aligns well with the dynamic requirements of modern web applications.de.wikipedia.org+4en.wikipedia.org+4wired.com+4

In regions like Uttar Pradesh, businesses seeking Custom Website Development in Uttar Pradesh can benefit from Python's capabilities. Its adaptability ensures that developers can tailor solutions to meet specific business needs, whether it's an e-commerce platform, a content management system, or a data-driven application.

Conclusion: Python Emerges as the Preferred Choice

While C++ remains a powerful language in its domain, its application in web development is limited due to its complexity and lack of specialized tools. Python, on the other hand, offers a balanced mix of simplicity, efficiency, and versatility, making it the preferred choice for web developers.

For businesses and developers aiming for efficient and scalable web solutions, especially those considering Custom Website Development in Uttar Pradesh, Python provides the tools and community support necessary to bring their visions to life effectively.

#CustomWebsiteDevelopmentinUttar Pradesh

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nascenture · 4 months ago

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Laravel vs. Other PHP Frameworks: Which One to Choose?

In the ever-evolving realm of web development, the meticulous choice of a PHP framework holds substantial sway over the success, effectiveness, and expandability of a given project. Due to its popularity as a server-side scripting language, PHP has generated a large number of frameworks, each of which offers special benefits and capabilities. Laravel stands out among the possibilities as a top pick, adored for its clean syntax and powerful functionalities. However, it is important to note that there are various other PHP frameworks, like Symfony, CodeIgniter, Yii, and Zend Framework, worthy of consideration.

In this comparison guide we will explore the strengths and distinctive features of Laravel in contrast to other famous PHP frameworks. We will give developers and businesses guidance and knowledge to assist them in choosing the framework that best suits their project requirements. Let us commence our exploration into the intricacies of the comparison between Laravel and other PHP frameworks, with the objective of determining the most suitable choice.

An Overview of Laravel

Laravel is a contemporary and widely embraced PHP framework that has gained substantial traction among the web development community. The framework was developed by Taylor Otwell and was first introduced in 2011. There are several benefits Laravel framework provides to developers as it provides a refined syntax and a range of functionalities that contribute to enhanced efficiency and expediency in software development. The software system adheres to the architectural pattern known as model-view-controller (MVC) and has many functionalities such as integrated authentication, a sophisticated object-relational mapping (ORM) mechanism, and a templating engine named Blade.

Other PHP Frameworks

Prior to examining the comparison, it is necessary to provide a brief introduction to some other widely used PHP frameworks.

1. Symfony

Symfony is a PHP framework that has been around for a long time, and it has proven its worth by being extremely well-designed and -implemented. Its popularity among programmers stems from developers' appreciation for its scalability, adaptability, and extensive library of reusable PHP components. By emulating the tried-and-true Model-View-Controller (MVC) architectural pattern, Symfony offers a methodical framework for creating software. Even the most complex enterprise-level applications can be created and kept up-to-date with the help of this design paradigm, which guarantees a clear separation of concerns.

2. CodeIgniter

CodeIgniter is an efficient and simple PHP framework that emphasizes minimalism and speed. Developers enjoy CodeIgniter because of its easy-to-use interface and short learning curve. The framework's minimal weight guarantees a small memory footprint, making it a great pick for high-pressure tasks. CodeIgniter is a great choice for developing time-sensitive apps due to its speed in task execution and its simplicity, which speeds up the development process.

3. Yii

Yii is a robust PHP framework that places an emphasis on speed and safety. It supports caching, authentication, and role-based access control, making it ideal for creating large-scale applications. The framework's efficiency comes from its well-thought-out design and streamlined patterns. Key features, like as caching methods, are built into Yii, making the application faster and more responsive. Security is also a top priority for Yii, which is why it follows industry standards to protect its code.

4. Zend Framework

The Zend Framework is a robust PHP framework that provides a set of high-quality PHP packages. It contains a wide variety of carefully created, commercial-grade PHP packages, making it a popular option among programmers looking to build stable applications. One of its defining characteristics is adaptability, which facilitates the creation of solutions that meet the demands of individual developers while still conforming to standard norms in the field. The robustness of the framework and its adherence to coding standards demonstrate its commitment to providing dependable, maintainable software.

Comparison: Laravel vs. Other PHP Frameworks

Let's evaluate Laravel with the other PHP frameworks so you can make an informed decision about which one to use.

1. Ease of Use and Learning Curve

Laravel

The syntax of Laravel is known for being embraced by developers, and the framework's documentation is comprehensive. It is not difficult to learn, and it gives a variety of pre-built functionalities, which saves time throughout the development process.

Symfony

When compared to Laravel, Symfony's learning curve is more challenging due to the breadth and depth of its feature set as well as its adaptability. However, once developers become familiar with it, it offers excellent documentation and a sturdy design.

CodeIgniter

The simplicity and user-friendliness of CodeIgniter are two of its most notable qualities. Because of its gentle learning curve, it is an excellent alternative for those just starting out in programming or for endeavors that call for rapid advancement.

Yii

Yii successfully strikes a mix between being simple to use and having a rich set of capabilities. It offers a learning curve that is not overly challenging, particularly for programmers who are already familiar with PHP.

Zend

Due to the vast number of features and customizations that are available within the Zend Framework, using it can be challenging for beginners. It is best suited for highly experienced developers working on more substantial projects.

2. Performance

Laravel

Laravel is a widely-used open-source PHP framework that provides a robust and elegant toolkit. Laravel exhibits commendable performance; yet, its broad array of functionality and abstraction layers may result in a modest decrease in speed when compared to more lightweight frameworks such as CodeIgniter.

Symfony

Symfony is a widely used open-source PHP framework that facilitates the development of web applications. Symfony is known for its exceptional performance, particularly in the context of large-scale projects. It offers a range of caching and optimization tools that effectively improve its speed.

CodeIgniter

CodeIgniter is a powerful open-source PHP framework that facilitates the development of web applications. For applications that place a premium on speed and efficiency, CodeIgniter is an excellent choice thanks to its well-known efficiency and excellent performance.

Yii

Yii is known for its high performance and efficient caching mechanisms, making it suitable for applications that require speed and scalability.

Zend Framework

When creating PHP-based web applications, many developers turn to the Zend Framework because of its popularity and ease of use. The framework prioritizes performance, however, the intricate nature of its components may potentially affect its speed when compared to more lightweight frameworks.

3. Community and Ecosystem

Laravel

Laravel is a widely used open-source PHP framework that follows the model-view-controller (MVP). The framework benefits from a dynamic and engaged community, which actively contributes to its diverse assortment of packages, tutorials, and tools.

Symfony

Symfony boasts a substantial and committed community, accompanied by an extensive ecosystem of third-party bundles and plugins that serve to augment its functionalities.

CodeIgniter

CodeIgniter possesses a community that provides support, but on a smaller scale compared to those of Laravel or Symfony. There remains a substantial quantity of libraries and resources accessible.

Yii

The term "Yii" refers to a high-performance, component-based PHP framework that possesses a robust and dynamic community, and its ecosystem is expanding, offering a substantial array of extensions and packages.

Zend Framework

There is a large and active community behind the Zend Framework, and its members carefully maintain a wide variety of useful components, modules, and libraries.

4. Scalability

Laravel

Laravel has excellent scalability and can handle applications with varying levels of complexity. The modular nature of the system enables effective scalability in accordance with the specific demands of the project.

Symfony

Symfony's excellent scalability means it's often the framework of choice when building large, extremely important enterprise apps with stringent performance and reliability requirements.

CodeIgniter

Due to its scalability, CodeIgniter is appropriate for small to medium-sized projects. To manage exceptionally big projects, nevertheless, it could run into problems.

Yii

Yii is a wonderful option for projects with a lot of room for expansion because it is extremely scalable and adept at handling large-scale applications.

Zend Framework

Since the Zend Framework was created with scalability in mind, it is appropriate for large, complicated applications that may need a high level of scalability.

5. Popularity and Industry Adoption

Laravel

There has been an enormous rise in Laravel's popularity among developers, making it one of the most popular PHP frameworks. It's popular because of the wide variety of uses it has on the internet.

Symphony

Symfony is widely used, particularly in the enterprise sector, and is well-known for the sturdy design and scalability that it provides.

CodeIgniter

CodeIgniter is a popular choice among developers who are searching for a lightweight framework and is best suited for use with smaller projects and rapid development.

Yii

Yii has gained popularity among developers because of its performance and efficiency, which has attracted developers working on a wide variety of projects.

Zend

The Zend Framework is a popular choice for large-scale applications, especially in industries where data security and scalability are top priorities.

Wrapping Up

In the dynamic landscape of PHP frameworks, the choice between Laravel and its counterparts ultimately depends on the specific needs and goals of your project. Laravel, undeniably, shines with its elegant syntax, extensive feature set, and a vibrant community backing it. Especially if you aim to establish your business online, opting for Laravel development services can be a strategic advantage. Its intuitive design and robust capabilities expedite the development process, enabling a swift transition to the digital realm.

#web development #website development #laravel #php

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learning-code-ficusoft · 4 months ago

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Essential Tools for .NET Developers

.NET development requires a robust set of tools to enhance productivity, streamline development, and ensure high-quality applications.

Whether you’re building web applications, desktop software, or cloud-based solutions, having the right tools can make a significant difference. Here’s a list of essential tools for .NET developers:

1. IDEs and Code Editors

Visual Studio — The most powerful and widely used IDE for .NET development, offering features like IntelliSense, debugging, and seamless integration with Azure.

Visual Studio Code (VS Code) — A lightweight, cross-platform editor with great extensions for C#, .NET, and debugging.

2. Package Management

NuGet — The default package manager for .NET, allowing developers to install and manage libraries with ease.

3. Build and CI/CD Tools

MSBuild — Microsoft’s build system for compiling, packaging, and deploying .NET applications.

Azure DevOps — Provides CI/CD pipelines, version control, and project management tools.

GitHub Actions — Automates builds, tests, and deployments within GitHub.

Jenkins — A widely used automation tool for building, testing, and deploying applications.

4. Version Control

Git — The most widely used version control system.

GitHub / GitLab / Bitbucket — Popular platforms for hosting Git repositories.

5. Debugging and Profiling

Visual Studio Debugger — A built-in debugger with advanced features for breakpoints, watch variables, and call stacks.

dotTrace — A powerful profiling tool for performance analysis.

PerfView — A Microsoft tool for analyzing CPU usage, memory, and performance bottlenecks.

6. Testing Frameworks

xUnit.net — A modern unit testing framework for .NET.

NUnit — A widely used unit testing framework with rich assertions.

MSTest — Microsoft’s built-in testing framework for .NET applications.

SpecFlow — A BDD (Behavior-Driven Development) framework for .NET.

7. Dependency Injection & Inversion of Control (IoC)

Autofac — A flexible IoC container for .NET applications.

Microsoft.Extensions.DependencyInjection — The built-in DI container for .NET Core and .NET 5+.

8. ORM and Database Management

Entity Framework Core — A modern ORM for .NET applications.

Dapper — A lightweight, high-performance ORM for .NET.

SQL Server Management Studio (SSMS) — A must-have tool for managing SQL Server databases.

9. API Development and Testing

Postman — A popular tool for testing and documenting APIs.

Swagger (Swashbuckle) — Generates interactive API documentation for ASP.NET Core applications.

10. Logging and Monitoring

Serilog — A structured logging library for .NET applications.

NLog — A flexible logging framework.

Application Insights — Microsoft’s monitoring tool integrated with Azure.

11. Cloud & DevOps Tools

Azure SDK for .NET — A set of libraries for interacting with Azure services.

AWS SDK for .NET — For working with AWS services in .NET applications.

Docker —��Essential for containerizing .NET applications.

Kubernetes — For orchestrating containerized applications in cloud environments.

12. Productivity and Collaboration

ReSharper — A powerful extension for Visual Studio that enhances code analysis and refactoring.

Notepad++ / WinMerge — Handy tools for quick code edits and file comparisons.

WEBSITE: https://www.ficusoft.in/dot-net-training-in-chennai/

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appwarsblogs · 7 months ago

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Java Full Stack vs. Other Tech Stacks: Why Choose Java for Your Career?

The technology landscape offers a plethora of options for developers, from Python and JavaScript to emerging technologies like Go and Rust. Among these, Java Full Stack Development remains a steadfast choice for aspiring and seasoned developers. With its robustness, scalability, and extensive ecosystem, Java continues to dominate the tech world. Let's explore how Java Full Stack compares to other popular stacks and why choosing Java can be a career-defining decision—especially with the expert guidance of Appwars Technologies.

Understanding Java Full Stack Development

A Java Full Stack developer is proficient in both front-end and back-end development using Java-based tools and frameworks. Typically, a Java Full Stack includes:

Front-end: HTML, CSS, JavaScript, frameworks like Angular or React

Back-end: Java, Spring Boot, Hibernate

Database: MySQL, PostgreSQL, or MongoDB

Tools & Platforms: Maven, Docker, Kubernetes

This stack equips developers with the versatility to create dynamic, scalable, and secure web applications.

Comparison: Java Full Stack vs. Other Tech Stacks

1. Java Full Stack vs. MERN Stack

The MERN Stack (MongoDB, Express.js, React, Node.js) is a favorite among startups for rapid development. However, it often lacks the enterprise-level robustness Java provides.

Advantages of Java Full Stack:

Scalability: Ideal for large, complex systems like banking and healthcare applications.

Security: Java’s built-in features and frameworks like Spring ensure enterprise-grade security.

Performance: Java's JVM optimizes performance for high-traffic applications.

MERN Strengths: rapid prototyping and ease of learning, but limited in handling enterprise-grade requirements.

2. Java Full Stack vs. MEAN Stack

The MEAN Stack (MongoDB, Express.js, Angular, Node.js) is similar to MERN but replaces React with Angular.

Advantages of Java Full Stack:

Stability: Long-term support and stability make Java preferable for industries requiring longevity.

Ecosystem: Tools like Spring and Hibernate provide unmatched ORM and dependency injection support.

MEAN Strengths: Suitable for modern single-page applications, but it struggles with the complexity of legacy system integration.

3. Java Full Stack vs. Python-Django Stack

The Python-Django Stack excels in rapid development and data-centric applications.

Advantages of Java Full Stack:

Multithreading: Java supports efficient multithreading for high-performance applications.

Platform Independence: Java’s "write once, run anywhere" approach ensures cross-platform compatibility.

Python-Django strengths: faster development cycles and simpler syntax, but it may lack the same level of performance and scalability for larger systems.

4. Java Full Stack vs..NET Stack

The.NET Stack, powered by Microsoft, is a close competitor to Java, particularly in enterprise development.

Advantages of Java Full Stack:

Open-Source: Java's open-source nature and extensive libraries offer flexibility without vendor lock-in.

Cross-Platform: Java runs seamlessly across multiple operating systems, while .NET heavily leans on Windows environments.

.NET Strengths: Superior integration with Microsoft products but limited flexibility outside the Microsoft ecosystem.

Why Choose Java for Your Career?

High Demand and Stability Java remains one of the most in-demand programming languages globally. Companies across industries—finance, healthcare, retail, and more—rely on Java for mission-critical applications.

Extensive Community Support With decades of development and a thriving community, Java developers have access to a wealth of resources, tutorials, and libraries to solve problems efficiently.

Scalability and Performance Java's ability to handle complex, high-traffic systems makes it the go-to choice for enterprises.

Diverse Career Opportunities Java Full Stack developers are versatile, opening doors to roles like software engineer, solution architect, and technical lead.

Appwars Technologies: Your Gateway to Java Full Stack Excellence

Transitioning to a Java Full Stack career requires the right training and mentorship. Appwars Technologies, with its expert AI-driven learning solutions and comprehensive tech training programs, is the ideal partner for your career growth.

Customized Learning Paths: tailored programs to match your skill level, from beginner to advanced.

Hands-On Projects: real-world projects that simulate enterprise challenges.

Industry-Recognized Certification: Enhance your resume with certifications trusted by leading employers.

Expert Mentorship: Learn from experienced professionals with deep expertise in Java and modern development practices.

Conclusion

While other tech stacks have their strengths, Java Full Stack Development stands out for its robustness, scalability, and versatility—qualities that are critical for long-term career success. With Appwars Technologies, you gain not just technical skills but also the confidence to tackle real-world challenges, making you a standout candidate in the competitive job market.

Take the leap into a rewarding career with Java Full Stack development today! Appwars Technologies is here to guide you every step of the way.

#appwars technlogies #java full stack training in noida

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stevesmithsworld · 10 months ago

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Tips to Choose the Best Online Reputation Management Tool for Your Business

Nowadays we know that a brand’s reputation is not solely dependent upon word of mouth or local circles- it requires something more than that which is Online Reputation Management (ORM). ORM has now become important for all businesses and all the reputation management tools allow these businesses to monitor and shape their digital image.

Online reputation management is a mixture of marketing, SEO and public relations which targets to promote and safeguard the online identity of a brand. Many people have developed reputation management companies so that they can provide the ORM services to the businesses that are present online. Reputation management is simply how your brand presents itself online and in which ways the public accept it. For building your focus towards the side of reputation management, we must tell you that there are a variety of free online reputation management tools that will help you out with your journey.

But why is online reputation management important for your business? It is crucial for your business to adapt this technique because :

ORM works on constantly monitoring your online reputation so that you can be informed about what is being said about your business and in case of negative statements you can adapt them and make valuable changes.

It keeps track of all your business leads and sales which prevents you from any type of future loss. Not only this but one research has even shown that more than 40% of digital marketers monitor their company’s brand daily. (Source- Webdew)

Factors to consider before choosing the best ORM tools

Before selecting the best online reputation management tools you should look out for different factors which will help you in this long journey, and some of the tips to choose ORM for your business is mentioned below:

1. Your Business Goals and Needs

Reputation management software works differently for different businesses the business can be of anything, an agency , local or a multi-location brand. All we want to say is before choosing an ORM tool you should look out for specific things like if it works out for you or your business.

You should also choose the tool according to your company size because small companies might have some other priorities as compared to larger brands. With this also evaluate whether your team has the expertise to handle the chosen tool effectively or not.

2. Check their features and functionality

When you are researching about your ORM tools you should pay attention to their capabilities, for example,

If they monitor your social media platforms such as track mentions, comments and reviews across different platforms.

It should do review tracking by monitoring online reviews from various sources like Google or Yelp.

Look for tools that allow you to customize the reports and dashboards according to your own preferences.

3. Reporting and Analytics

It is crucial for effective ORM tools to have reporting capabilities because these tools provide insights on how you can perceive your brand online and can evaluate your performance in comparison to your competitors.

Online reputation management tools with reporting and analytics features should also have performance metrics so that you can look into your engagement, reach and sentiment of the audience.

4. See their Integration with Online Platforms

While you are selecting your tools for online reputation management, see if they collaborate with major social media channels, like :

- LinkedIn

- Twitter

- Instagram

After this see if these tools align with your business’s google and local listings. You have to do this to have an idea that the particular tool will help you in your long-term goals.

5. Automation and AI

With AI ruling the world you should search for the modern ORM tools that have both automation as well as AI driven features like efficiency and accuracy. Efficiency in your tools will save you time by handling the daily routine tasks like scheduling posts and responding to your reviews. On the other hand, through AI accuracy you will be able to analyze the large volume of data more precisely and will be able to identify the patterns and trends in the market.

Conclusion

Mentioned above are some of the most useful tips that will guide you in building an amazing online reputation. The most popular ORM tools in which you will find all of these features are Birdeye, YouScan and Brand24. These softwares will definitely be your partners to build a highly reputed online presence.

#digital marketing #education #digital marketing course #orm services

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kodehashtechnology · 1 year ago

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Head-to-Head: PHP vs. Java - Which Language Reigns Supreme?

Head-to-Head: PHP vs. Java - Which Language Reigns Supreme? The debate between PHP and Java has long been a topic of discussion among developers, with proponents of each language advocating for its superiority in various aspects of web development, enterprise applications, and system architecture. In this head-to-head comparison, we'll delve into the strengths, weaknesses, and use cases of PHP and Java to determine which language reigns supreme in the world of software development.

Overview of PHP:

PHP, initially created as a server-side scripting language for web development, has gained widespread popularity for its simplicity, flexibility, and ease of use. Here are some key considerations regarding PHP:

Simplicity and Ease of Use:

PHP is renowned for its straightforward syntax and easy learning curve, making it accessible to beginners and experienced developers alike.

Its scripting nature allows developers to embed PHP code directly into HTML, enabling dynamic content generation and server-side processing.

Web Development Focus:

PHP is primarily designed for web development, with built-in features for processing form data, interacting with databases, and generating dynamic web pages.

It integrates seamlessly with popular web servers like Apache and Nginx and databases like MySQL, PostgreSQL, and SQLite.

Vibrant Ecosystem:

PHP boasts a vibrant ecosystem of frameworks, libraries, and tools that streamline web development tasks and accelerate project delivery.

Frameworks like Laravel, Symfony, and CodeIgniter provide robust MVC architecture, routing, ORM, and other features for building scalable and maintainable web applications.

Overview of Java:

Java, renowned for its platform independence, scalability, and robustness, is widely used for building enterprise-grade applications, backend systems, and large-scale distributed systems. Here are some key considerations regarding Java:

Write Once, Run Anywhere (WORA):

Java's WORA principle enables developers to write code once and run it on any platform that supports Java, including Windows, macOS, Linux, and various mobile devices.

This platform independence is achieved through the Java Virtual Machine (JVM), which provides a consistent runtime environment for Java applications.

Scalability and Performance:

Java offers scalability and performance advantages, making it suitable for building large-scale enterprise applications that can handle high volumes of concurrent users and transactions.

Its robust type system, memory management features, and multithreading support contribute to improved application performance and responsiveness.

Enterprise Integration:

Java's extensive ecosystem and enterprise-grade features make it well-suited for integrating with existing systems, middleware, and enterprise solutions.

Frameworks like Spring Boot, Jakarta EE (formerly Java EE), and Apache Camel provide comprehensive support for building enterprise applications, RESTful APIs, and microservices.

Head-to-Head Comparison:

Performance:

Java generally offers better performance and scalability compared to PHP, especially for large-scale enterprise applications and systems with high concurrency requirements.

PHP's performance has improved over the years, but it may still lag behind Java in terms of raw processing power and efficiency.

Developer Productivity:

PHP's simplicity and ease of use contribute to faster development cycles and rapid prototyping, making it suitable for small to medium-sized web projects.

Java's verbose syntax and boilerplate code may require more time and effort upfront but can lead to more maintainable and scalable codebases over the long term.

Ecosystem and Tooling:

PHP has a robust ecosystem of frameworks, libraries, and tools tailored for web development, with a focus on simplicity, flexibility, and ease of use.

Java's ecosystem is broader and more diverse, catering to a wide range of use cases, including web development, enterprise integration, mobile development, and big data processing.

Use Cases and Project Requirements:

The choice between PHP and Java ultimately depends on the specific requirements, scalability needs, and performance considerations of the project at hand.

PHP may be a better fit for small to medium-sized web projects, startups, and rapid prototyping, while Java shines in large-scale enterprise applications, middleware, and mission-critical systems.

Conclusion:

In conclusion, both PHP and Java have their strengths and weaknesses, making them suitable for different types of projects and development scenarios. While PHP excels in simplicity, ease of use, and rapid development, Java boasts scalability, performance, and enterprise-grade features. The choice between PHP and Java should be based on the specific requirements, project goals, and scalability needs of the application, ensuring that developers choose the language that best aligns with their project's objectives and long-term vision. Ultimately, the language that reigns supreme depends on the context of the project and the priorities of the development team.

#software engineering #Php Vs Java #application development #app development #mobile app development #programming

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thememakker · 2 years ago

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Why Use Laravel Framework for Web Development?

#LaravelDevelopment#WebDesign#LaravelFramework#AppDevelopment#APIIntegration#WebDevelopment#WebDevelopmentCompany#ElevateWithLaravel#LaravelAdmintemplate#Laravel+BootstrapAdminTemplate

Welcome to another exciting video of Thememakker’s Laravel Framework! Laravel web development has transformed into the art of crafting engaging and seamless user experiences. 🚀 Today, we delve into the world of Laravel, the open-source framework that's redefining web development paradigms.

Laravel isn't just about aesthetics; it's a powerhouse of tools and features that revolutionize development. Join us as we uncover the distinctive advantages that set Laravel apart from the rest.

🔧 Streamlined Development Process: Say goodbye to reinventing the wheel! Laravel's structured approach accelerates development, letting developers focus on what truly matters - creating unique features that stand out.

🔒 Secure Authentication: Security is paramount in the digital realm. Discover how Laravel simplifies secure authentication, ensuring your user data remains impenetrable.

🛡️ Robust Technical Security: Protecting your web application from vulnerabilities is non-negotiable. See how Laravel's features safeguard against common threats, giving you and your users peace of mind.

🔌 Third-Party Integration: Modern web apps thrive on external services. Learn how Laravel's integration capabilities seamlessly incorporate external tools, enriching user experiences.

🚀 Key Features of Laravel Framework: From dependency management to integrated authentication, Laravel offers a suite of tools that make development a breeze. Experience the power of the Blade templating engine, the efficiency of the Artisan console, and the elegance of the Eloquent ORM.

🏢 MVC Architecture in Laravel: Discover how Laravel's adherence to the MVC architecture promotes organization, scalability, and maintainability.

🌐 Community-Wide and Open Source: Laravel's vibrant community fuels its growth, ensuring continuous improvement and innovation.

📚 In-Built Libraries and Composers: With a variety of libraries and Composer integration, Laravel minimizes dependencies and maximizes efficiency.

👨‍💻 Simplified Coding: Witness how the Laravel blade template engine enhances coding practices, leading to cleaner, more maintainable code.

Ready to take your web development journey to the next level? Don't miss out on this deep dive into Laravel's world. And remember, this is just one gem in our treasure trove of videos. Make sure to explore more content on our channel and stay tuned for more insights that empower your digital endeavors!

#LaravelDevelopment#WebDesign#LaravelFramework#AppDevelopment#APIIntegration#WebDevelopment#WebDevelopmentCompany#ElevateWithLaravel#LaravelAdmintemplate#Laravel+BootstrapAdminTemplate

Laravel framework, Web development, Coding tutorials, Web security, MVC architecture, PHP programming, Developer tools, Software engineering, Application scalability, User experience design, Framework comparison, Technology insights, Digital transformation, Coding efficiency, Online learning

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this-week-in-rust · 2 years ago

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This Week in Rust 481

Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tag us at @ThisWeekInRust on Twitter or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.

This Week in Rust is openly developed on GitHub. If you find any errors in this week's issue, please submit a PR.

Updates from Rust Community

Official

Announcing Rustup 1.25.2

Foundation

Member Spotlight: AdaCore

FOSDEM 2023

[video] Building an actor library for Quickwit's indexing pipeline

[video] Building a distributed search engine with tantivy

[video] Aurae: Distributed Runtime

[video] BastionLab, a Rust open-source privacy framework for confidential data science collaboration

[video] Neovim and rust-analyzer are best friends

[video] A Rusty CHERI - The path to hardware capabilities in Rust

[video] Slint: Are we GUI yet?

[video] Rust API Design Learnings

[video] A deep dive inside the Rust frontend for GCC

[video] Merging process of the rust compiler

[video] Let's write Snake game!

[video] Glidesort

[video] How Pydantic V2 leverages Rust's Superpowers

[video] Scalable graph algorithms in Rust (and Python)

[video] Using Rust for your network management tools!

[video] Backward and forward compatibility for security features

[video] atuin: magical shell history with Rust

[video] A Rust-Based, modular Unikernel for MicroVMs

Newsletters

This Month in Rust OSDev: January 2023

The first issue of Rust Magazine has been published 🎉🎉

Project/Tooling Updates

Release Engineering Is Exhausting So Here's cargo-dist

rust-analyzer changelog #167

Glidesort, my stable adaptive quicksort/mergesort hybrid sorting algorithm

Fornjot (code-first CAD in Rust) - Weekly Release - Ostensibly Quiet

derive-adhoc: "derive by example", an ergonomic replacement for (some) proc macros

Lemmy release 0.17.0 - A link aggregator for the Fediverse

Arti 1.1.1 is released: Groundwork for onion services

SeaORM 0.11.0 - 🐚 An async & dynamic ORM for Rust

Observations/Thoughts

Async trait send bounds, part 1: intro

Speeding up Rust semver-checking by over 2000x

Announcing Masonry 0.1, and my vision for Rust UI

Rust Is Beyond Object-Oriented, Part 2: Polymorphism

[video] Rust Malaysia - The journey to rust from a student

Improving incremental test times in Rust

Using HTML as a compile target

Tauri vs Iced vs egui: Rust GUI framework performance comparison

Improving Rust compile times to enable adoption of memory safety

[audio] Cloudflare with Adam Chalmers

Rust Walkthroughs

Building a Rust parser using Pest and PEG

Rustler - Using Rust crates in Elixir

LifetimeKata: Exercises to learn how to use lifetimes

Exploring Rust for Vulkan drivers, part 1

Rustproofing Linux (Part 1/4 Leaking Addresses)

STM32F4 Embedded Rust at the PAC: svd2rust

Miscellaneous

My Reaction to Dr. Stroustrup's Recent Memory Safety Comments

This Is the Kind of Rust the Automotive Industry Needs

Crate of the Week

This week's crate is envious, a serde-based deserializer from environment variables.

Thanks to musicmatze for the suggestion!

Please submit your suggestions and votes for next week!

Call for Participation

Always wanted to contribute to open-source projects but did not know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

Some of these tasks may also have mentors available, visit the task page for more information.

this-week-in-rust - Make dark mode more accessible

Ockam - 'ockam tcp-connection create' should return the tcp-connection ID

Ockam - 'ockam node stop' should output a message when exiting successfully

comprehensive-rust - We now support translations!

comprehensive-rust - Extract text more carefully in mdbook-xgettext

If you are a Rust project owner and are looking for contributors, please submit tasks here.

Updates from the Rust Project

350 pull requests were merged in the last week

retry opening proc-macro DLLs a few times on Windows

autotrait bounds on dyn-safe trait methods

do not depend on Generator trait when deducing closure signature

parse and recover from type ascription in patterns

recover _ as .. in field pattern

recover form missing expression in for loop

recover from lifetimes with default lifetimes in generic args

don't generate unecessary &&self.field in deriving Debug

emit warnings on unused parens in index expressions

erase regions before doing uninhabited check in borrowck

extend -Z print-type-sizes to distinguish generator upvars+locals from "normal" fields

fix invalid float literal suggestions when recovering an integer

fix suggestion for coercing Option<&String> to Option<&str>

fix syntax in -Zunpretty-expanded output for derived PartialEq

fixing confusion between mod and remainder

implement unsizing in the new trait solver

don't point at nonexisting code beyond EOF when warning about delims

improve diagnostic for missing space in range pattern

improve panic message for slice windows and chunks

improve pretty-printing of HirIdValidator errors

make unaligned_reference a hard error

make const/fn return params more suggestable

make the "extra if in let...else block" hint a suggestion

provide structured suggestion for binding needing type on E0594

refine error spans for "The trait bound T: Trait is not satisfied" when passing literal structs/tuples

remove confusing 'while checking' note from opaque future type mismatches

sort Generator print-type-sizes according to their yield points

suggest move in nested closure when appropriate

suggest std::ptr::null if literal 0 is given to a raw pointer function argument

suggest {var:?} when finding {?:var} in inline format strings

suggest adding a return type for async functions

intern external constraints in new solver

optimize fold_ty

do not deaggregate MIR

adapt SROA MIR opt for aggregated MIR

test drop_tracking_mir before querying generator

track bound types like bound regions

futures: poll Select futures without moving them

cargo: add partial support for SSH known hosts markers

cargo: config: deny CARGO_HOME in env table

cargo: do not error for auth-required: true without -Z sparse-registry

cargo: handle .cargo-ok being truncated

cargo: make cargo install report needed features

cargo: verify source before recompile

rustfmt: prevent shorthand init for tuple struct

rustfmt: lists doc comments

clippy: needless_lifetimes: lint local macros

clippy: unused_io_amount: lint with is_ok and is_err

clippy: wildcard_enum_match_arm lint takes the enum origin into account

clippy: add extra_unused_type_parameters lint

clippy: add machine applicable suggestion for needless_lifetimes

clippy: don't depend on FormatArgsExpn in ManualAssert

clippy: fix version declared for semicolon_inside_block and semicolon_outside…

clippy: mark uninlined_format_args as pedantic

rust-analyzer: add more basic issue templates with auto category labeling

rust-analyzer: expand docs section on Visual Studio to mention all three available extensions

rust-analyzer: remove support for 1.58 proc-macro abi

rust-analyzer: fix negative trait bound in outline view (#14044)

rust-analyzer: consider relative offset to fake ident token in expansion for completion

rust-analyzer: don't panic on broken syntax trees in adjustment inlay hints

rust-analyzer: don't render fieldless discriminant inlay hints for datacarrying enums

rust-analyzer: support non-ascii characters in case conversion

rust-analyzer: unsize cast array only on pointer type

rust-analyzer: implement proc-macro-api versioning

rust-analyzer: record method resolution for remaining operator expressions

rust-analyzer: reuse fetching target data layout from rustc function

rust-analyzer: support computing layout of RPIT

rust-analyzer: support generic function in generate_function assist

rust-analyzer: support sysroot library source being defined inside the workspace

Rust Compiler Performance Triage

Much noise in benchmarks this week, which makes it hard to tell what the real improvements were and what they were due to. A query cache change (PR #107667) is part of the story. In addition, much improvement was reaped from the change to not deaggregate MIR (PR #107267). Finally, microoptimizing fold_ty (PR #107627) yielded a small improvement to a broad set of benchmarks.

Triage done by @pnkfelix. Revision range: a64ef7d0..e4dd9edb

Summary:

(instructions:u) mean range count Regressions ❌ (primary) 2.4% [0.3%, 18.8%] 18 Regressions ❌ (secondary) 1.8% [0.2%, 4.1%] 21 Improvements ✅ (primary) -1.0% [-3.2%, -0.3%] 88 Improvements ✅ (secondary) -4.0% [-13.1%, -0.1%] 47 All ❌✅ (primary) -0.4% [-3.2%, 18.8%] 106

3 Regressions, 3 Improvements, 8 Mixed; 3 of them in rollups 41 artifact comparisons made in total

Full report here

Approved RFCs

Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:

No RFCs were approved this week.

Final Comment Period

Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.

RFCs

No RFCs entered Final Comment Period this week.

Tracking Issues & PRs

[disposition: merge] rework min_choice algorithm of member constraints

[disposition: merge] fix: Unexpected trait bound not satisfied in HRTB and Associated Type

[disposition: merge] Stabilize feature cstr_from_bytes_until_nul

[disposition: merge] rustdoc: remove inconsistently-present sidebar tooltips

[disposition: merge] Relax ordering rules for asm! operands

New and Updated RFCs

[new] recommended-bin-crates field in Cargo.toml

[new] Ref-wrapping

Call for Testing

An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization. The following RFCs would benefit from user testing before moving forward:

No RFCs issued a call for testing this week.

If you are a feature implementer and would like your RFC to appear on the above list, add the new call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

Upcoming Events

Rusty Events between 2023-02-08 - 2023-03-08 🦀

Virtual

2023-02-08 | Virtual (Boulder, CO, US) | Boulder Elixir and Rust

Monthly Meetup

2023-02-08 | Virtual (Redmond, WA, US; New York, NY, US; San Francisco, CA, US) | Microsoft Reactor Redmond and Microsoft Rector New York and Microsoft Reactor San Francisco

Primeros pasos con Rust: QA y horas de comunidad | New York Mirror | San Francisco Mirror

2023-02-09 | Virtual (Nürnberg, DE) | Rust Nuremberg

Rust Nürnberg online

2023-02-11 | Virtual | Rust GameDev

Rust GameDev Monthly Meetup

2023-02-13 | Virtual (Redmond, WA, US; New York, NY, US; San Francisco, CA, US) | Microsoft Reactor Redmond and Microsoft Rector New York and Microsoft Reactor San Francisco

Primeros pasos con Rust - Escritura de pruebas automatizadas | New York Mirror | San Francisco Mirror

2023-02-14 | Virtual (Berlin, DE) | OpenTechSchool Berlin

Rust Hack and Learn

2023-02-14 | Virtual (Dallas, TX, US) | Dallas Rust

Second Tuesday

2023-02-14 | Virtual (Redmond, WA, US; New York, NY, US; San Francisco, CA, US) | Microsoft Reactor Redmond and Microsoft Rector New York and Microsoft Reactor San Francisco

Primeros pasos con Rust - Creamos un programa de ToDos en la línea de comandos | San Francisco Mirror | New York Mirror

2023-02-14 | Virtual (Saarbrücken, DE) | Rust-Saar

Meetup: 26u16

2023-02-15 | Virtual | MongoDB

Write a Microservice With Rust and MongoDB

2023-02-15 | Virtual (Redmond, WA, US; New York, NY, US; San Francisco, CA, US; São Paulo, BR) | Microsoft Reactor Redmond and Microsoft Rector New York and Microsoft Reactor San Francisco and Microsoft Reactor São Paulo

Primeros pasos con Rust: QA y horas de comunidad | San Francisco Mirror | New York Mirror | São Paulo Mirror

2023-02-15 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Show & Tell: Rust state machines in a file processor

2023-02-16 | Virtual (Stuttgart, DE) | Rust Community Stuttgart

Rust-Meetup

2023-02-21 | Virtual (Washington, DC, US) | Rust DC

Mid-month Rustful

2023-02-23 | Virtual (Charlottesville, VA, US) | Charlottesville Rust Meetup

Tock, a Rust based Embedded Operating System

2023-02-23 | Virtual (Kassel, DE) | Java User Group Hessen

Eine Einführung in Rust (Stefan Baumgartner)

2023-02-23 | Virtual (México City, MX) | Rust MX

Rust: ¿por qué es una opción adecuada para implantar Blockchain?

2023-02-28 | Virtual (Berlin, DE) | Open Tech School Berlin

Rust Hack and Learn

2023-02-28 | Virtual (Cardiff, UK) | Rust and C++ Cardiff

Rust Nation - What we learnt

2023-02-28 | Virtual (Dallas, TX, US) | Dallas Rust

Last Tuesday

2023-02-28 | Virtual (Munich, DE) | Rust Munich

Rust Munich 2023 / 1 - hybrid

2023-03-01 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

2023-03-02 | Virtual (Linz, AT) | Rust Linz

Rust Meetup Linz - 30th Edition

2023-03-07 | Virtual (Buffalo, NY, US) | Buffalo Rust Meetup

First Tuesdays

2023-03-08 | Virtual (Boulder, CO, US) | Boulder Elixir and Rust

Monthly Meetup

Asia

2023-02-14 | Tokyo, JP | Tokyo Rust Meetup

Crafting Command Line Tools With Rust

2023-02-20 | Tel Aviv, IL | Rust TLV

February Edition - Redis and BioCatch talking Rust!

Europe

2023-02-09 | Lille, FR | Rust Lille

Rust Lille #2

2023-02-15 | London, UK | Rust London User Group

Rust Nation Pre-Conference Reception with The Rust Foundation

2023-02-15 | Trondheim, NO | Rust Trondheim

Rust New Year's Resolution Bug Hunt

2023-02-16 | Bordeaux, FR | DedoTalk

#1 DedoTalk 🎙️ : Rust pour un développeur Python

2023-02-16, 2023-02-17 | London, UK | Rust Nation UK

Rust Nation '23

2023-02-18 | London, UK | Rust London User Group

Post-Conference Rust in Enterprise Brunch Hosted at Red Badger

2023-02-21 | Paris, FR | Rust Paris

Rust Paris meetup #56

2023-02-21 | Zurich, CH | Rust Zurich

Practical Cryptography - February Meetup (Registration opens 7 Feb 2023)

2023-02-23 | Copenhagen, DK | Copenhagen Rust Community

Rust metup #33

2023-02-23 | Vienna, AT | Rust Vienna

Rust Meetup Revived with an Exciting Exploration of Ownership!

2023-02-28 | Munich, DE + Virtual | Rust Munich

Rust Munich 2023 / 1 - hybrid

North America

2023-02-09 | Mountain View, CA, US | Mountain View Rust Study Group

Rust Study Group at Hacker Dojo

2023-02-09 | New York, NY, US | Rust NYC

A Night of Interop: Rust in React Native & Rust in Golang (two talks)

2023-02-13 | Minneapolis, MN, US | Minneapolis Rust Meetup

Happy Hour and Beginner Embedded Rust Hacking Session (#3!)

2023-02-21 | San Francisco, CA, US | San Francisco Rust Study Group

Rust Hacking in Person

2023-02-23 | Lehi, UT, US | Utah Rust

Upcoming Event

Oceania

2023-02-23 | Brisbane, QLD, AU | Rust Brisbane

February Meetup

2023-02-28 | Canberra, ACT, AU | Canberra Rust User Group

February Meetup

2023-03-01 | Sydney, NSW, AU | Rust Sydney

🦀 Lightning Talks - We are back!

South America

2023-02-22 | Montevideo, UY | Rust Meetup Uruguay

Hands on: Lifetimes

If you are running a Rust event please add it to the calendar to get it mentioned here. Please remember to add a link to the event too. Email the Rust Community Team for access.

Jobs

Please see the latest Who's Hiring thread on r/rust

Quote of the Week

It's been 7.5 years since #27060 was reported, but the problem is finally fixed for good. :‍)

– Ralf Jung on github

Thanks to scottmcm for the suggestion!

Please submit quotes and vote for next week!

This Week in Rust is edited by: nellshamrell, llogiq, cdmistman, ericseppanen, extrawurst, andrewpollack, U007D, kolharsam, joelmarcey, mariannegoldin, bennyvasquez.

Email list hosting is sponsored by The Rust Foundation

Discuss on r/rust

#rust-lang #rust #rustlang #twir #long post

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bookmytalent · 2 years ago

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Laravel Vs. Codeigniter: A Head-to-Head Comparison?

PHP framework's undisputed sovereignty in the digital landscape is known to all and sundry. That pretty much explains why it is the most sought-after framework for the development of cutting-edge and enterprise-grade web applications.

Laravel and Codeigniter are two such PHP frameworks that are widely used by developers across the globe. And if you are looking to build a web application and wondering which framework to go for, this post is for you.

We have compared the two frameworks on various factors including performance, community support, usage statistics, ease-of-use, database support, and scalability to name a few.

Let's dive right in!

Laravel Framework at a Glance

Written in PHP and based on Symfony, Laravel is an open-source framework that is simply outstanding. Being a server-side framework Laravel can be counted on for building robust web applications with a completely customized back-end and pre-defined architecture.

You can also develop web applications with full-stack apps and expect flawless server-side handling of routing, templating, and HTML authentication to name a few.

How popular is Laravel?

Laravel's market share stands at 0.37% which is significantly good. It has got more than 63 thousand Github stars with approximately 21 thousand live projects. Laravel became popular for web development as it supports MVC (model view controller) patterns. It comes with a built-in module and contains eloquent ORM.

No wonder, it is preferred by the biggest of brands. To give you an idea, below are listed some of the most renowned Laravel-based web applications.

Asgard CMS

Laracasts

Barchart

World Walking

Laravel is considered ideal for:

Web management systems involving stock trading

Multi-language support CMS?

E-learning web apps

Web applications based on SaaS

Web apps with rewards and recognition features

On-demand streaming web apps

Why Laravel framework for web app development?

Let?s take a look at some of the major features of the Laravel framework.

Excellent templating system

Laravel uses Blade- a templating engine possessing immeasurable power to format complicated layouts and data with easy navigation. Besides, developers can add new modules and/or features without having to make any modifications to the core part.

Routing

Another noteworthy feature of Laravel is reverse routing. This feature facilitates the automatic creation of URIs that stands for Unique Resource Identifiers.

Automated testing

Testing becomes a less time-consuming task with Laravel as it has expressive testing methods with a PHP Unit simulating user behavior. Through this feature requests are made to the application's functions and the majority of your testing load is cut-off.

Apart from these features, the Laravel framework is also known for automation with Artisan CLI.

There are a few cons of the Laravel framework. For instance, it is lightweight and due to this reason, there is excessive congestion of database queries in the backend; however, it can be easily taken care of if you hire professional Laravel developers from a reputed software development company such as Citta Solutions.

An Introduction to Codeigniter Framework

Codeigniter is another robust PHP framework that is famous for its minimum digital footprint. It is ideal for web application developers looking for a straightforward and less complicated framework with a rich toolkit.

This framework came into existence in 2006 and caught on owing to the degree of freedom it gives to web developers. It has absolutely no reliance on the MVC pattern and since it facilitates 3rd party integration with sheer ease you can achieve the most complex functionalities quite easily.

Codeigniter's popularity at a glance

With more than 1,410,088 websites across 39 countries, Codeigniter has 17.7 thousand stars on Github. And if you are looking to create a web application on Codeigniter, you must consider a few factors before making a decision.

Benefits of Codeigniter

User-friendly interface

Codeigniter offers an exceptional UI and makes for a good pick if you are looking to create responsive websites or feature-rich web apps.

Security

Make security protocols with sheer ease and take application customization to another level with Codeigniter.

Modularity

Codeigniter is known for its expression engine that enables developers to make the most of built-in authentication. Modular applications are a strong point of this framework.

There are a few downsides of Codeigniter too. It has unstable code maintainability and there are lesser updates that have an impact on the growth and development aspect of it.

Summing it up

Both Laravel and Codeigniter are popular PHP frameworks with their own set of advantages and a few downsides. We highly recommend you take into account your development needs and consult a reliable Laravel development company such as Citta Solutions.

If you have any queries about Laravel or Codeigniter, feel free to touch base with us and we will answer all your queries.

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your-sannidhya-blr · 5 years ago

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Codeigniter vs Laravel: Which one to choose?

After unraveling the subtleties of the laravel framework, it is now important to understand the layerings of the Codeigniter framework. The Codeigniter framework has been designed for developers who like to work with an uncomplicated toolkit for heavily featured web applications. Codeigniter empowers the users to make dynamic applications without being dependent on an MVC architecture. It also allows for third-party plugins that assist in the application of a laborious set of functions. The security and encryption feature of code igniter also is mention-worthy. Developers today have to create complex applications. While it may seem an easy exercise to the ones who sit outside and cheer, the reality is that the complexities that arise with growing involvement in the project might take up lots of time and also become inconvenient for developers. The need for a structured way of developing custom software is the crux and to do that, PHP frameworks have passed numerous litmus tests’.

For developing custom solutions, using PHP based MVC frameworks has become a much-needed inclusion in the overall IT strategy. Among the deluge of frameworks, the Codegintier framework and the laravel framework have captured the mindshare of not just developers but also organizations that are looking at building their applications.

Google trends also have illustrated with a line graph showing comparisons over time.

Deciphering from the graphs and trends we can see that the Laravel framework is way ahead, but the Codeigniter framework is not far behind. With its features and transformational abilities, these frameworks have literally seized everybody’s interest.

Getting to know more about the Laravel framework

The first thing that comes into our minds when we say Laravel is beautiful coding. Yes! The framework is known for its clean and neat coding pattern and is a blessing to web artisans.

The Laravel Framework is an extensively used Open-source PHP framework that develops custom applications employing the MVC architecture. Laravel framework is free to use as it has been released under the MIT license. Most of the Laravel application development companies consider the Laravel framework as a transcendent solution because it is reliable, accurate and expressive.

Lets now draw our attention towards the top features of the Laravel framework that makes it the forerunner of the best frameworks.

It has built-in lightweight templates with widgets that have CSS and JS codes.

It functions on MVC architecture that separates business logic and different layers of presentation.

It has a simple PHP active record implementation thanks to eloquent ORM.

The web security feature is the most illustrious part of Laravel.

For the automation of tedious programming tasks, Laravel offers an in-built command tool called Artisan.

The database migration system of Laravel allows for expanding the database without the need to recreation even when there is a change in code.

It is a wonderful framework to run unit tests and it ensures that no web applications are charred.

What exactly is the Codeigniter framework?

After unraveling the subtleties of the laravel framework, it is now important to understand the layerings of the Codeigniter framework.

The Codeigniter framework has been designed for developers who like to work with an uncomplicated toolkit for heavily featured web applications. Codeigniter application development empowers the users to make dynamic applications without being dependent on an MVC architecture. It also allows for third-party plugins that assist in the application of a laborious set of functions. The security and encryption feature of code igniter also is mention-worthy.

Features of Codeigniter you must know

Free to use as is licensed under MIT license.

Follows the MVC pattern.

It is Lightweight and the core system of Codeigniter needs a very small library.

It helps in Generating SEO friendly URLs.

It comes with full packet built-in libraries which will help in doing all the tasks like form manipulation, email sending, manipulating images, etc.

Now that a fair understanding of the frameworks has been established let us do a comparative analysis of both of them.

The article intends to give insightful observations on both the frameworks which will dominate in the coming years. With a chain of improvements that companies are making to their ecosystem, your selection should be dependent on the type of project, man hours you can give and the budget that has been given to develop. Once that has been answered, it will be an easy call to make.

#laravel framework #laravel development #codeigniter framework #codeigniter development #codeigniter vs laravel

0 notes

ryadel · 6 years ago

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Review Assistant - Peer code review tool for Visual Studio

In this post we'll talk about Review Assistant, a code review plug-in for Visual Studio created and developed by Devart that allows you to create review requests and respond to them without leaving the Visual Studio environment; it includes lightweight support for formal code review, including a per-comment discussion tracking. It also integrates with most code comparison tools and version control systems in order to facilitate working with frequent code changes. Since Review Assistant main goal is to facilitate the overall interactions and communications between developers and project managers, we asked our development staff to run an extensive test-drive to see if they could benefit from that: they did by integrating the peer code review process into their Agile-based workflow, and eventually were very pleased about it. Throughout this post we'll briefly summarize their overall experience and talk a bit more about the product itself.

Do we need a code review tool?

Let's start with the most basic question: why should you ever need a code review tool? The answer might be YES or NO, depending on how your development team is used to work. As a matter of fact, most developers do not like to switch between their IDEs and other tools while working on a code: if you're one of them, you might definitely like a integration between the code review process and the development environment. A code review tool is just that: it allows to create review comments directly from the code editor and browse/manage the existing ones from an integrated Code Review Board window. Needless to say, the Code Review Board also contains all the relevant discussions for the various items.

How does Review Assistant work

To better understand how Review Assistant actually works, we strongly suggest to take a look at the following introductory video: https://youtu.be/U37_YZeo58U

With and without Visual Studio

The Review Assistant Client is fully integrated with the Visual Studio environment but it can also be installed on PCs without it, thus allowing project managers - that arguably don't have any development tools installed - to still be able to track and monitor the code review process; the advantage brought by such feature can play a major role to fill the known gap between the development and management/operations teams, which is a pivotal goal in implementing a DevOps-based approach.

Flexible code reviews

Review Assistant lets the developers choose between a simple or strict code review workflow for each project: any developer can start post-commit code review on any set of revisions. The workflow supports the following features: Code author is automatically pulled from a repository. Multiple code authors can be assigned to a single review. Moderator role is available in the strict code review workflow. One review can contain code from multiple repositories. Unreviewed files are highlighted on the Code Review Board.

A use-case sample

The following is a simple workflow example of a peer code review between two participants: the current example is implemented with the Use simple review workflow option enabled (which is disabled by default).

#1. Author creates a review To create a review, the developer (which we'll call author from now on) must click to the Start New Review button on the Code Review Board window. He'll will be prompted to add review data (Review title, Author, Moderator, Reviewer, Watchers, Revisions, and Description). Once all the relevant info have been inserted, the developer can click to the Create button to complete creating the review (see screenshot below):

As soon as he does that, the review will be available on the Code Review Board. #2. Reviewer Comments on the Code The reviewer can now select the files from an existing revision and examine them. As the reviewer studies the code, he can right-click on any line to enter a comment there, or add a general comment to an entire review, as shown in the screenshot below:

After entering the comment, the reviewer can add it by clicking the Create button; all reviewer-added comments are saved automatically; once the reviewer has finished the review and has no more comments to add, he can Accept or Reject the author’s work. #3. Author Responds to the Comments During the review process, the author can respond to the reviewer’s comments and/or make changes in the code. Once done, he can click to the Mark As Fixed button: as soon as he does that, the Open label will switch to Fixed. To respond to a reviewer’s comment, the author can click the Reply button, enter a reply text and click the Post button to send it, as shown in the screenshot below:

#4. Reviewer finishes the Review If the reviewer has further remarks, he can click the Reopen button and reply to the author (if he does that, the workflow goes back to #2); in case the reviewer has no further remarks, he can click the Close button to finalize the comment (see screenshot below):

Once done, he can click to the Complete Review button placed at the top of Code Review Board to finalize the whole review; when he does that, a popup will appear with two possible choices: if the code has no errors, he can select Accept Changes, otherwise he can Reject Changes.

Video-Tutorial

If you want to know more about how Review Assistant can help you to interact with your development team, you can check out the following Review Assistant Introductory Tutorial: a 6:15 minutes short video that shows the main elements of the code review process on a sample project with a 4-member team. https://youtu.be/89qn0Y4u-DQ

Compatibility

Review Assistant supports the most widely adopted source-control providers such as TFS, Subversion, Git, Mercurial, and Perforce.

System Requirements

The Review Assistant system requirements depends on the machine role: Client machine 2 GHz or higher processor 1024 MB of RAM or more 35 MB of free hard drive space Microsoft Windows Vista/Windows 7/8.x/10 Visual Studio 2010, 2012, 2013, 2015, 2017, and 2019 (except the Express editions), or Visual Studio Integrated (+ Isolated) Shell 2013 DirectX 9 compatible video card running at 1024 x 768 or a higher-resolution display Server machine SQL Server 2017, 2016, 2014, 2012, 2008, 2008R2 (including Express editions), LocalDB 2012 or higher (usually delivered with Visual Studio 2012 and higher versions): you can download all SQL Server editions here. 2 GHz or higher processor 1024 MB of RAM or more 100 MB of free hard drive space to store a database Windows Server 2008 or higher .NET Framework 4.0 or higher installed. You can download .NET Framework here.

Documentation

Review Assistant Documentation Server Installation Client Installation Using Review Assistant Configuring Review Assistant Server Troubleshooting FAQ System requirements

Pricing Model and Free Plan

When you download Review Assistant, you get the full-featured free version of the product, which includes a 30-day trial for unlimited users and projects. After the 30-day trial ends, the software will switch to a free plan (with some sizing limitations) which can be still viable for small development teams. Free Version Limitations Upon the expiration of the free trial license you can: continue using the free version restricted up to 3 users and 1 project buy a permanent license if you have bigger team. To learn more about Review Assistant licensing, refer to the Installing a License Key from Client UI and Installing a License Key on a Server Machine articles.

About Devart

Founded in 1997, Devart is currently one of the leading developers of database management software, ALM solutions and data providers for most popular database servers. Their released products include DBMS tools for SQL Server, MySQL, Oracle and PostgreSQL, Productivity Tools, ADO.NET Data Providers, ORM Solutions, ODBC Drivers, SSIS Components, Excel Add-ins, Delphi Data Access Components, dbExpress Drivers and more. For further information about their products and releases, visit their website.

Conclusion

All in all, we found Review Assistant useful enough to give it a try with our development team: we liked a lot that it could be used with or without Visual Studio, thus being able to make Project Managers interact with developers (and vice-versa) which is definitely a great advantage to enforce either an Agile-based or a DevOps-based methodology to any working group; if you aim to to that, and your development team is looking to improve their peer code review sessions, you might as well give it a try. Read the full article

#CoreReview #PlugIn #ReviewAssistant #VisualStudio #VisualStudioExtensions #VS2015 #VS2017 #VS2019

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solaceinfotechpvtltd · 6 years ago

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Python vs Java : Know the difference

Programming Languages are an essential piece of computer science and important to almost every programming activity. Selecting the best programming language is always a confusing task. Python and Java have been fighting for the top position of the most popular programming languages. Python is making an enormous progress in the past few years whereas Java holding onto its position. Both the languages are hottest programming languages in the market due to its versatility, efficiency and automation capabilities. It has been observed that these languages are perfect and are able to do most of the tasks. But there are some key differences that will help you decide the best language.

Python-

Python is a dynamically-typed general purpose programming language. Python’s initial development started at a research institute in the Netherlands. The inspiration driving it was to make a higher level language to cross over any barrier among C and the shell. The syntax was also motivated by a few languages like Algol68, Pascal, and ABC and was intended to be readable and clean.

Java-

Java is a statically typed general purpose programming language. It is an object-oriented and concurrent language. Java works as WORA (write once run anywhere) language. It was designed to run on any platform and with as few dependencies as possible, with the help of the Java Virtual Machine (JVM).

Python vs Java- Key differences-

1. History-

Python, first released in 1991 by its inventor, Guido van Rossum. It is a readable, efficient and powerful high level language with automatic memory management.

Java is an object-oriented language with a C/C++-like syntax that is familiar to many programmers. Java allows new code to download and run, but not dynamically typed.

2. Performance-

First of all, languages don’t have speed, they have only semantics. If you want to compare speed you must choose specific implementations to compare with each other. Remember that performance is not only a function of the language’s execution speed, the program’s implementation, and the third party libraries performance is usually the number one factor in the equation.

3. Legacy-

Python has less legacy problem so organization faces difficulty for the script to copy and paste codes and gives it a slight edge over the other languages.

Java’s history in the enterprise and its slightly more verbose coding style imply that Java legacy systems are typically larger and more numerous than python’s.

4. Code-

It only takes 2 lines of code to read from a file in Python. This makes Python a more preferable language.

Java is very verbose as compared to Python. It takes 10 lines of code to read from a file in Java.

5. Popularity-

Popularity has always been a game between these two languages because they are close competitors in the top 3 positions of popularity. Before the Javascript release, Java was the number one most popular language.

In 2018 developer’s survey, Python was delegated the quickest developing programming language subsequent to taking over C# recognize this year and outperforming PHP a year ago. Java is still positioned above Python being well known with 45% of developers while Python is at 39%, anyway that gap is closing. It is safe to say that both languages reside around the same area in popularity.

6. Practical Agility-

Python is most positive language for Machine Learning, Artificial Intelligence, IoT and significantly more.

Java appreciates more undeviating refactoring support than python on account of its static kind framework and all inclusiveness of IDE’s being developed. It is more popular for mobile and web applications.

Python vs Java use cases-

Game Development-

Game development is a field that requires the most elevated conceivable execution to give consistent experiences to the users, and while Java and Python are not slow, they don’t provide the best performance for game development. Python is not a powerful option for game creation. There is Cocos, Panda3d, Pygame and a few other engines/frameworks for building games with Python. However, Python isn’t completely ruled out for professional game development, it’s an important tool for a game developer, as Python is a popular scripting-language option for many developers including game developers. Editing Packages like Maya also use Python as a scripting language.

Web Development-

Back-end web development uses the languages. Back-end web development is a part of web development concerned with creating the software that will run on the server. Writing your own backend technology is extremely hard to cover all design requirements like security, reliability and effectiveness. And hence developers have created frameworks which is an abstraction in software that enables you to build your backend technology without reinventing the wheel. Know the use of Python in Artificial Intelligence, Finance etc. at our blog- Using Python in Finance, Analytics and Artificial Intelligence.

The two popular frameworks for Python are Django and Flask. Flask is a small web framework, which gives you the basic functionalities you’d need like routing requests without much overhead. Django can help you to build a powerful backend while benefiting from efficiency and security. Django is equipped with a powerful ORM layer which encourages dealing databases and performing different operations on the data.

For Java, Spring is the most well-known Java backend framework with a massive ecosystem and a huge network around it. Orange, Dell, GE, and many other enterprises uses it. Spring is not as popular as Django. It is a powerful option for building enterprise level applications.

Machine Learning-

Python is syntactically simple yet a fully-fledged general purpose programming language. It turned into a prominent choice for people from different disciplines who needed to experiment with machine learning and bring the power of AI into their respective fields. Hence AI development and machine learning development uses Python.

Java is a good option when it comes to machine learning. It is easy to debug and use also. Large-scale and enterprise level applications uses Java. Among the libraries, you could use in that area are Weka, Mallet, DeepLearning4, and MOA.

Python and Java Comparison summary-

Java and Python are both capable and popular languages. So there are many resources available. If you’re new to programming, it will be better to use Python just because it’s really easy and uses English- like syntax. If you want to develop enterprise level applications coming from a C/ C++ world, then Java would feel pretty familiar to you.

Are you looking to develop a software for your business with Python or Java? Then Solace is the right place to start. Developers at solace believes in effectiveness of using Python in development. Get a free quote for software development using python that will lift your business to the next level.

#python #java #python vs java #programming #technology #tech

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faizrashis1995 · 5 years ago

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Python vs Java in 2020

Programming Languages are a fundamental part of computer science, they are fundamental tools in a programmer’s toolbox and crucial to almost every programming activity. Choosing between programming languages is often confusing, let alone choosing between the most popular ones. Python and Java have been battling for the top position on the most popular programming languages out there, with Python making amazing progress in the last few years and Java holding onto its position.

It often seems that these languages are perfect, and in fact, they are capable of doing most of the tasks out there, however, there are key differences that could help you formulate your decision. We’ll start by explaining each language and key characteristics, then compare them in different fields in computer science to provide more clarity on your choices.

Java

Java is a statically typed general-purpose programming language, it is an object-oriented and concurrent language. Java was meant to be WORA (write once run anywhere) language, it was designed to run on any platform and with as few dependencies as possible, with the help of the Java Virtual Machine (JVM).

Python

Python is a dynamically-typed general-purpose programming language. Python’s early development began at a research institute in the Netherlands. The original motivation behind it was to create a higher-level language to bridge the gap between C and the shell, as the author states, creating system administration utilities using C back at that time was pretty complicated. The syntax was also motivated by a few languages like Algol68, Pascal, and ABC and was meant to be readable and clean. You can read more about the history of python on the Python Author’s blog.

Now let's have a look at key difference between Python and Java.

Python vs Java: Key Differences

Performance

Languages don't have speed, they have only semantics. If you want to compare speed you must choose specific implementations to compare with each other. You can find a detailed Python vs Java performance comparison on this project called the benchmarks-game (screenshot below), where different languages are benchmarked in different programs.

Python vs Java performance comparison

Keep in mind that performance is not only a function of the language’s execution speed, the program’s implementation, and the third party libraries performance is usually the number one factor in the equation.

Popularity

Popularity has always been a game between these two languages, as they’ve been a close competitor in the top 3 positions of popularity, along with javascript. Before the Javascript revolution, Java was the number one most popular language. When Javascript first came out, the founders chose a name close to Java to make it gain traction.

As per Github’s Octoverse, Java was the second most used language on Github followed by Python.

In Stackoverflow’s 2018 developer survey, Python has crowned the fastest growing programming language after taking over C# spot this year and surpassing PHP last year. Java is still ranked above Python being popular with 45% of developers while Python is at 39%, however that gap is closing.

It is safe to say that both languages reside around the same area in popularity.

Syntax

Python is a dynamically typed language, when you write Python, you don’t need to determine variable types, as the interpreter will infer these types and the checks will be made at runtime. Which results in an easier syntax that is quite similar to the English Language. Moreover, Python doesn’t use enclosing braces and follows indentation rules ( like how most people right pseudocode) which makes the code quite easy to read and friendly for beginners.

In this simple class definition, I’ve created a simple class called fruit, with a constructor, which is the code that will be executed when I create an instance of the object, and defined two simple functions as well, each printing one of the object’s attributes.

class Fruit:

def_init_(mysillyobject, name, color);

mysillyobject.name=name

mysillyobject.color=color

def myfunction(abc) :

print("hello I'm a "+ abc.name)

def mycolor(abc) :

print("hello my Color is " + abc.color)

p1 = Fruit ("Apple", "red")

p1.myfunction()

Java, on the other hand, follows strict syntax rules, it’s a statically typed language where you need to explicitly declare your variable types and shouldn’t an anomaly be spotted, the code will not compile, to begin with. While it’s not the easiest thing for beginners, some developers find comfort with the clarity of statically typed languages, many developers don’t feel comfortable following indentation rules, especially with large code bases.

public class Fruit {

String name;

String color;

public Fruit(String name, String color){

this.color=color;

this.name=name;

}

public void myfunction()

{

System.out.println("Hello I'm a :" +name);

}

public void mycolor()

{

System.out.println("Hello my color is:" + color);

}

This is the equivalent to the Fruit class we have defined in Python with the exact same functionalities.

Jobs and Salary

There seems to be no objective difference or comparison between Python vs Java jobs or salary. Both are very popular so if you gain a decent expertise in either, you can start working as a software developer or intern to start your career. Availability of Jobs or Salary should not be be your criterion for choosing either of the programming language, choose the one that you could relate to better.

Python vs Java: Uses/Applications in various fields

Game Development

We’re not going to talk about general PC game development since neither Python nor Java can really compete with C++/C# in that area with their huge ecosystem. Moreover, game development is a field that requires the highest possible performance to provide seamless experiences to the users, and while Java and Python are not slow, they don’t provide the best performance for game development.

JMonkeyEngine is a popular open source game development engine with Java, while it’s not on par with Unreal and Unity it is certainly a powerful engine that will help you create some amazing games.

If you wish to experiment with computer graphics from scratch or build your own engine, OpenGL also provides bindings for the Java language.

While Python is not a powerful option on its own for game creation, there is Cocos, Panda3d, Pygame and a few other engines/frameworks for building games with Python.

However, Python isn’t completely ruled out for professional game development, it’s an important tool for a game developer, as Python is a popular scripting-language option for many developers including game developers. Editing Packages like Maya also use Python as a scripting language.

Web Development

Both languages are used in backend web development. Backend web development is the branch of web development concerned with creating the software that will run on the server. It’s the most popular development field according to StackOverflow’s developer survey.

Writing your own backend technology from scratch is not only hard, but it’s extremely hard to cover all design requirements from security to reliability and effectiveness. This is why developers have created frameworks which is an abstraction in software that allows you to build your backend technology without reinventing the wheel.

The most two popular frameworks for Python are Django and Flask. Flask is a micro web framework, it gives you the basic functionalities you’d need like routing requests without much overhead. Django is a more featured option and can help you build a powerful backend while capitalizing on efficiency and security, Django is equipped with a powerful ORM layer which facilitates dealing databases and performing different operations on the data.

As for Java, Spring is perhaps the most well-known Java backend framework with a massive ecosystem and a huge community around it. Spring is used by Orange, Dell, GE, and many other enterprises, and while it’s not as trending as Django nowadays, it is a powerful option for building enterprise-level applications.

Machine Learning

Since Python is syntactically very easy yet a fully-fledged general-purpose programming language, it became a popular option for people from different disciplines who wanted to experiment with machine learning and bring the power of AI into their respective fields. That’s why a lot of the development in AI and machine learning is done with Python with a huge ecosystem and libraries.

There is TensorFlow, Keras, Sickit-Learn, and Facebook’s PyTorch and it’s by far the most popular language in the field.

Java is also considered a good option when it comes to machine learning, it’s easy to debug and use and it’s already being used for large-scale and enterprise-level applications. Among the libraries, you could use in that area are Weka, Mallet, DeepLearning4, and MOA.[Source]-https://hackr.io/blog/python-vs-java

We provide the best Advanced Java training, navi mumbai. We have industry experienced trainers and provide hands on practice. Basic to advanced modules are covered in training sessions.

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globalmediacampaign · 5 years ago

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Migrating Autodesk’s mission-critical database from Microsoft SQL Server to Amazon Aurora MySQL

This is a guest post from Tulika Shrivastava, Software Architect from Autodesk, in partnership with Rama Thamman from AWS. In their own words, “Autodesk is a leader in 3D design, engineering, and entertainment software. If you’ve ever driven a car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you’ve experienced what millions of Autodesk customers are doing with their software.” Autodesk started its cloud modernization journey years ago, moving workloads from private datacenters to Amazon EC2, among other AWS services. Autodesk needed to modernize to gain flexibility and scalability to support anticipated growth. In 2019, the company migrated its mission-critical single sign-on (SSO) application from self-managed SQL Server on EC2 to fully managed Amazon Aurora MySQL. This service funnels authentication requests from over 142 million users and responds to over 145,000 API requests per minute. It is integrated with over 300 products and services for authentication and authorization. This migration helped streamline the management and resiliency of the Autodesk SSO service, optimize costs, and reduce overhead for infrastructure maintenance. According to an initial cost analysis, the company would save approximately 40% to 50% of overall database costs every month using Amazon Aurora MySQL. This post outlines how Autodesk migrated this mission-critical database with minimal downtime. The following sections provide you with a view into pre-migration architecture, migration strategy, migration steps, and performance comparison. Pre-migration architecture The following diagram shows Autodesk’s previous SQL Server architecture. The database ran on self-managed EC2 instances. The configuration included the Always On feature spread across multiple Availability Zones and one node in another Region for disaster recovery. Over time, the team started facing the following challenges with the existing setup: Outages – Many of the incidents in the past were due to the self-managed complex database infrastructure, which involved EC2 instances having Amazon EBS storage with RAID 10 configuration. This resulted in problems in different layers, such as Windows Server Failover Cluster (WSFC), Storage, and IOPS. More importantly, it became challenging to do root cause analysis of the incidents. Backup – Managing backup was an overhead, particularly with cross-Region setup. Although we had used automated scripts, the process still required manual effort and monitoring. Patching – Because Autodesk has multiple environments (such as test, staging, and production), patching consumed a significant amount of our administrators’ time. Scalability – The primary node fields the read-only routing requests and identifies which secondary node it should get connected to. While this feature makes sure that connections are always routed to a healthy secondary node, it makes the primary node a bottleneck from a scalability standpoint. Number of replicas – SQL Server allows a maximum of 8 secondary replicas, whereas Aurora MySQL allows 15 replicas. Cost – The total cost of ownership was twice the amount compared to what we can achieve with migrating to Aurora. Elasticity – Scaling the infrastructure up or down was a time-consuming process. Migration strategy We started off the planning by conducting a proof of concept. This allowed us to identify application changes, database changes, scripting automation, and identifying the services that we can create ahead of time. More importantly, we were able to determine that migration to Aurora could resolve the previously mentioned limitations. After we implemented the necessary changes, we created a plan to migrate different environments in a phased approach. This allowed us to fine-tune the strategy and get clear insights into the downtime we would incur when running the migration on different environments. The objective was to migrate with minimal downtime. To give us the flexibility in running the migration in different environments quickly and consistently, we automated elements such as database creation and DMS config using Terraform. You can also use AWS CloudFormation for automation. The following sections discuss some of the key considerations. Schema migration AWS Schema Conversion Tool is an excellent tool to migrate schemas with minimal effort. In our case, we had to utilize our own schema conversion approach due to custom requirements. As part of the schema conversion process, we selected the optimal character sets for the database. By doing so, our database size was reduced to almost a third of the original size. This was one of the major benefits. You should evaluate the following options thoroughly before finalizing the schema for the target database: Charset and collation Data type choices Date/time pattern Multibyte character storage Special character storage Index types These considerations not only help to migrate the data successfully, but also to avoid any post-migration problems with special datasets. Capacity planning We did extensive test runs for capacity planning. It involved running workloads iteratively to determine the suitable instance size and capacity; comparing key metrics from various monitoring tools such as Amazon CloudWatch, New Relic, and MonYog; and analyzing slow query logs. We also considered the existing production workload and future projection of traffic and data growth. Application migration Application migration was seamless because we used NHibernate (ORM) for data access. ORM generated approximately 80% of our queries, so we could make the application generate queries for MySQL with minimal changes in the ORM configuration. It’s always a good idea to know how many queries in your application are generated from ORM to estimate the effort needed to convert the rest of the queries. We developed a feature in our SSO application to support on-demand database connection switching and for controlling read/write traffic. This helped us immensely in doing continuous deployment throughout the migration planning and execution on different environments. It also helped minimize the downtime involved during the database cutover. We were using the full framework of .NET and, unfortunately, the MySQL driver for .NET full framework with NHibernate doesn’t support Aurora MySQL failover. This essentially means that the application can’t recover from such failure on its own. We came up with a custom solution to create a workaround for the missing support for Aurora MySQL failover in the .NET Driver for MySQL so the application can continue to serve the traffic without any failure. Data migration Data migration and validation is a critical step. We used AWS DMS, which helped us run the migration process securely and cost-effectively. For more information, see Getting Started with AWS Database Migration Service. Migration steps The following diagram outlines the various migration states and steps. This is a roll forward migration design pattern. These steps provide you insights into the migration progression. The following sections explain each state and what it involved. Wherever possible, we created the services and infrastructure ahead of time. For example, before we embarked on the migration, Aurora MySQL DB, SQL service rollback DB, and DMS instances were ready to go. Initial state This shows the initial state of the service with SQL Server. Step 1 In this step, we started the full load migration from SQL Server to Aurora MySQL. Full load migration is a point-in-time snapshot copy. DMS copies the data from the source to the target. For optimal full load performance from a database constraints inclusion perspective, it is ideal to have just the primary keys prior to the full load. You can add other constraints, such as foreign keys, after the full load. Because DMS loads data from multiple tables in parallel, complex foreign key relationships can slow down the process. On Aurora MySQL, it is best to have only the writer node. On the SQL Server rollback setup, it is ideal to have the rollback database created on the primary node. Index creation is faster if done on a single node, especially when there are big tables. Step 2 After the full load task for SQL Server to Aurora MySQL was completed, we started the full load task for Aurora MySQL to the SQL Server rollback database. Upon completion of the task, we had full load data synchronized among the source, Aurora MySQL, and SQL Server rollback databases. Step 3 In this step, we added indexes and foreign keys to both the Aurora MySQL and SQL Server rollback databases, added the reader nodes to Aurora MySQL, and added the rollback database to the Always On database. Adding these in this step helps improve full load performance and also makes the database Highly Available before cutover. You can enable validation during the full load, but if you’re going to use change data capture (CDC), it is more efficient to enable it in this step. DMS takes care of data validation of the entire data, including data that was migrated as part of the full load. It has a special feature in which you can define custom validation functions. We used this feature heavily to validate special characters and blob data type. As part of our QA process, we validated a few important workflows. We did a round of sample data validation after the full load to make sure that the key workflows worked as expected. This sample data validation was done on top of DMS validation. After thorough testing, the CDC was triggered to propagate the incremental changes that were accumulated since the full load from the source to Aurora MySQL, and Aurora MySQL to the SQL Server rollback database. DMS sends migration metrics to CloudWatch. For more information, see Monitoring AWS DMS Tasks. Step 4 While CDC was underway, we closely monitored the following metrics in CloudWatch, along with other metrics ValidationPendingOverallCount CDCLatencySource CDCLatencyTarget When the validation pending overall count reached a low valueCDC latency between the source and target was at a minimum, we switched the database. It was a multi-step process. We stopped the write traffic for the application, waited for the pending records to be validated completely, and flipped the flag in the application to now point to Aurora MySQL. Coming up with optimal value for the aforementioned metrics depends on the use case and the velocity of changes coming in. You need to determine those values through multiple rounds of test runs. The following example graph shows the ValidationPendingOverallCount metric. You can see that the number of pending rows is high initially and it gradually comes down. The following example graph shows the CDCLatencySource metric. It shows the gap, in seconds, between the last event captured from the source database and current system timestamp of the DMS instance. If no changes were captured from the source due to task scoping, DMS sets this value to zero. The following example graph shows the CDCLatencyTarget metric. It shows the gap, in seconds, between the first event timestamp waiting to commit on the Aurora MySQL and the current timestamp of the AWS DMS instance. This value occurs if there are transactions that are not handled by Aurora MySQL. Otherwise, target latency is the same as source latency if all transactions are applied. Target latency should never be smaller than the source latency. Step 5 In this step, our application was pointing to Aurora MySQL and functioning well. We had a team that tested the application end-to-end to make sure all the features worked as it should. We let the rollback setup run for a few days before stopping it. Final state We removed the rollback setup in this step. The following diagram illustrates our new architecture. Rollback step This step was to have a backup plan in the worst-case scenario. Because the database is part of a mission-critical service, we had to put in mechanisms to recover from extreme worst cases. In the event that we had to use this database, we planned to stop the write traffic to Aurora, wait for the pending records to get validated, and then switch the application to the rollback database (SQL Server Always On). This way we could go back to the old setup without any data loss. It’s important to run enough tests to validate the rollback setup. We executed these tests with production-scale data in our test environment and made sure that there was no data loss when the application switched to use the rollback DB from Aurora MySQL. Performance comparison We captured top 10 query performance before and after the migration for both read and write queries. The following graph highlights the query performance for the top 10 read queries. You can see that Aurora performed exceptionally well. The following graph shows query performance for the top 10 write queries. Aurora MySQL outperformed MSSQL here as well. Execution times are considerably lower than MSSQL. Recommendations In addition to the approach outlined in the preceding sections, consider the following recommendations: Plan for many test runs so you can come up with a migration strategy that suits your database. There is no one-size-fits-all strategy, so come up with your own configuration and optimize accordingly. Conduct multiple rounds of performance testing to fine-tune SQL queries; they behave differently on different databases. Automate the migration process to the best extent possible. We used Terraform to automate, which allowed us to quickly repeat the test runs multiple times and come up with a consistent execution process. Set up all possible alerts and have ample monitoring in place to analyze the migration process. To give yourself enough time to handle unexpected errors, it is ideal to get to the database switching point (step 4 of the migration steps) at least a day before the scheduled cutover. Conclusion Heterogenous database migrations are not always easy, but with AWS DMS and proper planning, Autodesk had a smooth migration from SQL Server to Aurora MySQL. The company now has an infrastructure that provides significant operational efficiency and is optimized for cost and performance. Given the benefits Autodesk and others have experienced with Amazon Aurora MySQL, what’s your plan for embracing transformation and modernizing your infrastructure? About the Authors Tulika Shrivastava is a Software Architect at Autodesk. She lives in Sydney and leads the single sign-on service for Autodesk. She has hands-on experience in designing and building scalable and highly available products and services, especially on AWS. Rama Thamman is R&D Manager on the AWS R&D and Innovation Solutions Architecture team. He works with customers to build innovative prototypes in AI/ML, Robotics, AR VR, IoT, Satellite, and Blockchain disciplines. https://probdm.com/site/MTExMTY

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bookmytalent · 2 years ago

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Laravel Vs. Codeigniter: A Head-to-Head Comparison?

PHP framework?s undisputed sovereignty in the digital landscape is known to all and sundry. That pretty much explains why it is the most sought-after framework for the development of cutting-edge and enterprise-grade web applications.

We have compared the two frameworks on various factors including performance, community support, usage statistics, ease-of-use, database support, and scalability to name a few.

Let?s dive right in!

Laravel framework at a Glance

You can also develop web applications with full-stack apps and expect flawless server-side handling of routing, templating, and HTML authentication to name a few.

How popular is Laravel?

Laravel?s market share stands at 0.37% which is significantly good. It has got more than 63 thousand Github stars with approximately 21 thousand live projects. Laravel became popular for web development as it supports MVC (model view controller) patterns. It comes with a built-in module and contains eloquent ORM.

No wonder, it is preferred by the biggest of brands. To give you an idea, below are listed some of the most renowned Laravel based web applications.

Asgard CMS

Laracasts

Barchart

World Walking

Laravel is considered ideal for:

Web management systems involving stock trading

Multi-language support CMS?

E-learning web apps

Web applications based on SaaS

Web apps with rewards and recognition features

On-demand streaming web apps

Why Laravel framework for web app development?

Let?s take a look at some of the major features of the Laravel framework.

Excellent templating system

Routing

Another noteworthy feature of Laravel is reverse routing. This feature facilitates the automatic creation of URIs that stands for Unique Resource Identifiers.

Automated testing

Testing becomes a less time-consuming task with Laravel as it has expressive testing methods with a PHP Unit simulating user-behavior. Through this feature requests are made to the application?s functions and the majority of your testing load is cut-off.

Apart from these features, the Laravel framework is also known for automation with Artisan CLI.

An Introduction of Codeigniter Framework

Codeigniter?s popularity at a glance

Benefits of Codeigniter

User-friendly interface

Codeigniter offers an exceptional UI and makes for a good pick if you are looking to create responsive websites or feature-rich web apps.

Security

Make security protocols with sheer ease and take application customization to another level with Codeigniter.

Modularity

Codeigniter is known for its expression engine that enables developers to make the most of built-in authentication. Modular applications are a strong point of this framework.

There are a few downsides of Codeigniter too. It has unstable code maintaibility and there are lesser updates that have an impact on the growth and development aspect of it.

Summing it up

If you have any queries about Laravel or Codeigniter, feel free to touch base with us and we will answer all your queries.

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