#aws cloud development services

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[ogxfuturetech]

The Comprehensive Guide to Web Development, Data Management, and More 

Introduction 

Everything today is technology driven in this digital world. There's a lot happening behind the scenes when you use your favorite apps, go to websites, and do other things with all of those zeroes and ones — or binary data. In this blog, I will be explaining what all these terminologies really means and other basics of web development, data management etc. We will be discussing them in the simplest way so that this becomes easy to understand for beginners or people who are even remotely interested about technology.  JOIN US

What is Web Development? 

Web development refers to the work and process of developing a website or web application that can run in a web browser. From laying out individual web page designs before we ever start coding, to how the layout will be implemented through HTML/CSS. There are two major fields of web development — front-end and back-end. 

Front-End Development 

Front-end development, also known as client-side development, is the part of web development that deals with what users see and interact with on their screens. It involves using languages like HTML, CSS, and JavaScript to create the visual elements of a website, such as buttons, forms, and images. JOIN US

HTML (HyperText Markup Language): 

HTML is the foundation of all website, it helps one to organize their content on web platform. It provides the default style to basic elements such as headings, paragraphs and links. 

CSS (Cascading Style Sheets):  

styles and formats HTML elements. It makes an attractive and user-friendly look of webpage as it controls the colors, fonts, layout. 

JavaScript :  

A language for adding interactivity to a website Users interact with items, like clicking a button to send in a form or viewing images within the slideshow. JOIN US

Back-End Development 

The difference while front-end development is all about what the user sees, back end involves everything that happens behind. The back-end consists of a server, database and application logic that runs on the web. 

Server: 

A server is a computer that holds website files and provides them to the user browser when they request it. Server-Side: These are populated by back-end developers who build and maintain servers using languages like Python, PHP or Ruby. 

Database:  

The place where a website keeps its data, from user details to content and settings The database is maintained with services like MySQL, PostgreSQL, or MongoDB. JOIN US

Application Logic —  

the code that links front-end and back-end It takes user input, gets data from the database and returns right informations to front-end area. 

Why Proper Data Management is Absolutely Critical 

Data management — Besides web development this is the most important a part of our Digital World. What Is Data Management? It includes practices, policies and procedures that are used to collect store secure data in controlled way. 

Data Storage –  

data after being collected needs to be stored securely such data can be stored in relational databases or cloud storage solutions. The most important aspect here is that the data should never be accessed by an unauthorized source or breached. JOIN US

Data processing:  

Right from storing the data, with Big Data you further move on to process it in order to make sense out of hordes of raw information. This includes cleansing the data (removing errors or redundancies), finding patterns among it, and producing ideas that could be useful for decision-making. 

Data Security:  

Another important part of data management is the security of it. It refers to defending data against unauthorized access, breaches or other potential vulnerabilities. You can do this with some basic security methods, mostly encryption and access controls as well as regular auditing of your systems. 

Other Critical Tech Landmarks 

There are a lot of disciplines in the tech world that go beyond web development and data management. Here are a few of them: 

Cloud Computing 

Leading by example, AWS had established cloud computing as the on-demand delivery of IT resources and applications via web services/Internet over a decade considering all layers to make it easy from servers up to top most layer. This will enable organizations to consume technology resources in the form of pay-as-you-go model without having to purchase, own and feed that infrastructure. JOIN US

Cloud Computing Advantages:  

Main advantages are cost savings, scalability, flexibility and disaster recovery. Resources can be scaled based on usage, which means companies only pay for what they are using and have the data backed up in case of an emergency. 

Examples of Cloud Services: 

Few popular cloud services are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. These provide a plethora of services that helps to Develop and Manage App, Store Data etc. 

Cybersecurity 

As the world continues to rely more heavily on digital technologies, cybersecurity has never been a bigger issue. Protecting computer systems, networks and data from cyber attacks is called Cyber security. 

Phishing attacks, Malware, Ransomware and Data breaches: 

This is common cybersecurity threats. These threats can bear substantial ramifications, from financial damages to reputation harm for any corporation. 

Cybersecurity Best Practices:  

In order to safeguard against cybersecurity threats, it is necessary to follow best-practices including using strong passwords and two-factor authorization, updating software as required, training employees on security risks. 

Artificial Intelligence and Machine Learning 

Artificial Intelligence (AI) and Machine Learning (ML) represent the fastest-growing fields of creating systems that learn from data, identifying patterns in them. These are applied to several use-cases like self driving cars, personalization in Netflix. 

AI vs ML —  

AI is the broader concept of machines being able to carry out tasks in a way we would consider “smart”. Machine learning is a type of Artificial Intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. JOIN US

Applications of Artificial Intelligence and Machine Learning: some common applications include Image recognition, Speech to text, Natural language processing, Predictive analytics Robotics. 

Web Development meets Data Management etc. 

We need so many things like web development, data management and cloud computing plus cybersecurity etc.. but some of them are most important aspects i.e. AI/ML yet more fascinating is where these fields converge or play off each other. 

Web Development and Data Management 

Web Development and Data Management goes hand in hand. The large number of websites and web-based applications in the world generate enormous amounts of data — from user interactions, to transaction records. Being able to manage this data is key in providing a fantastic user experience and enabling you to make decisions based on the right kind of information. 

E.g. E-commerce Website, products data need to be saved on server also customers data should save in a database loosely coupled with orders and payments. This data is necessary for customization of the shopping experience as well as inventory management and fraud prevention. 

Cloud Computing and Web Development 

The development of the web has been revolutionized by cloud computing which gives developers a way to allocate, deploy and scale applications more or less without service friction. Developers now can host applications and data in cloud services instead of investing for physical servers. 

E.g. A start-up company can use cloud services to roll out the web application globally in order for all users worldwide could browse it without waiting due unavailability of geolocation prohibited access. 

The Future of Cybersecurity and Data Management 

Which makes Cybersecurity a very important part of the Data management. The more data collected and stored by an organization, the greater a target it becomes for cyber threats. It is important to secure this data using robust cybersecurity measures, so that sensitive information remains intact and customer trust does not weaken. JOIN US

Ex: A healthcare provider would have to protect patient data in order to be compliant with regulations such as HIPAA (Health Insurance Portability and Accountability Act) that is also responsible for ensuring a degree of confidentiality between a provider and their patients. 

Conclusion 

Well, in a nutshell web-developer or Data manager etc are some of the integral parts for digital world.

As a Business Owner, Tech Enthusiast or even if you are just planning to make your Career in tech — it is important that you understand these. With the progress of technology never slowing down, these intersections are perhaps only going to come together more strongly and develop into cornerstones that define how we live in a digital world tomorrow. 

With the fundamental knowledge of web development, data management, automation and ML you will manage to catch up with digital movements. Whether you have a site to build, ideas data to manage or simply interested in what’s hot these days, skills and knowledge around the above will stand good for changing tech world. JOIN US

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[jcmarchi]

UK forms AI Energy Council to align growth and sustainability goals

New Post has been published on https://thedigitalinsider.com/uk-forms-ai-energy-council-to-align-growth-and-sustainability-goals/

UK forms AI Energy Council to align growth and sustainability goals

The UK government has announced the first meeting of a new AI Energy Council aimed at ensuring the nation’s AI and clean energy goals work in tandem to drive economic growth.

The inaugural meeting of the council will see members agree on its core objectives, with a central focus on how the government’s mission to become a clean energy superpower can support its commitment to advancing AI and compute infrastructure.

Unveiled earlier this year as part of the government’s response to the AI Opportunities Action Plan, the council will serve as a crucial platform for bringing together expert insights on the significant energy demands associated with the AI sector.

Concerns surrounding the substantial energy requirements of AI data centres are a global challenge. The UK is proactively addressing this issue through initiatives like the establishment of new AI Growth Zones.

These zones are dedicated hubs for AI development that are strategically located in areas with access to at least 500MW of power—an amount equivalent to powering approximately two million homes. This approach is designed to attract private investment from companies looking to establish operations in Britain, ultimately generating local jobs and boosting the economy.

Peter Kyle, Secretary of State for Science, Innovation, and Technology, said: “The work of the AI Energy Council will ensure we aren��t just powering our AI needs to deliver new waves of opportunity in all parts of the country, but can do so in a way which is responsible and sustainable.

“This requires a broad range of expertise from industry and regulators as we fire up the UK’s economic engine to make it fit for the age of AI—meaning we can deliver the growth which is the beating heart of our Plan for Change.”

The Council is also expected to delve into the role of clean energy sources, including renewables and nuclear, in powering the AI revolution.

A key aspect of its work will involve advising on how to improve energy efficiency and sustainability within AI and data centre infrastructure, with specific considerations for resource usage such as water. Furthermore, the council will take proactive steps to ensure the secure adoption of AI across the UK’s critical energy network itself.

Ed Miliband, Secretary of State for Energy Security and Net Zero, commented: “We are making the UK a clean energy superpower, building the homegrown energy this country needs to protect consumers and businesses, and drive economic growth, as part of our Plan for Change.

“AI can play an important role in building a new era of clean electricity for our country and as we unlock AI’s potential, this Council will help secure a sustainable scale up to benefit businesses and communities across the UK.”

In a parallel effort to facilitate the growth of the AI sector, the UK government has been working closely with energy regulator Ofgem and the National Energy System Operator (NESO) to implement fundamental reforms to the UK’s connections process.

Subject to final sign-offs from Ofgem, these reforms could potentially unlock more than 400GW of capacity from the connection queue. This acceleration of projects is deemed vital for economic growth, particularly for the delivery of new large-scale AI data centres that require significant power infrastructure.

The newly-formed AI Energy Council comprises representatives from 14 key organisations across the energy and technology sectors, including regulators and leading companies. These members will contribute their expert insights to support the council’s work and ensure a collaborative approach to addressing the energy challenges and opportunities presented by AI.

Among the prominent organisations joining the council are EDF, Scottish Power, National Grid, technology giants Google, Microsoft, Amazon Web Services (AWS), and chip designer ARM, as well as infrastructure investment firm Brookfield.

This collaborative framework, uniting the energy and technology sectors, aims to ensure seamless coordination in speeding up the connection of energy projects to the national grid. This is particularly crucial given the increasing number of technology companies announcing plans to build data centres across the UK.

Alison Kay, VP for UK and Ireland at AWS, said: “At Amazon, we’re working to meet the future energy needs of our customers, while remaining committed to powering our operations in a more sustainable way, and progressing toward our Climate Pledge commitment to become net-zero carbon by 2040.

“As the world’s largest corporate purchaser of renewable energy for the fifth year in a row, we share the government’s goal to ensure the UK has sufficient access to carbon-free energy to support its AI ambitions and to help drive economic growth.”

Jonathan Brearley, CEO of Ofgem, added: “AI will play an increasingly important role in transforming our energy system to be cleaner, more efficient, and more cost-effective for consumers, but only if used in a fair, secure, sustainable, and safe way.

“Working alongside other members of this Council, Ofgem will ensure AI implementation puts consumer interests first – from customer service to infrastructure planning and operation – so that everyone feels the benefits of this technological innovation in energy.”

This initiative aligns with the government’s Clean Power Action Plan, which focuses on connecting more homegrown clean power to the grid by building essential infrastructure and prioritising projects needed for 2030. The aim is to clear the grid connection queue, enabling crucial infrastructure projects – from housing to gigafactories and data centres – to gain access to the grid, thereby unlocking billions in investment and fostering economic growth.

Furthermore, the government is streamlining planning approvals to significantly reduce the time it takes for infrastructure projects to get off the ground. This accelerated process will ensure that AI innovators can readily access cutting-edge infrastructure and the necessary power to drive forward the next wave of AI advancements.

(Photo by Vlad Hilitanu)

See also: Tony Blair Institute AI copyright report sparks backlash

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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Top Institutes for Website Design Training in Gwalior – CupuleTrainings

Cupule Trainings, as a best IT training institute in Gwalior, offers job consultancy service, certification and training in Angular Js, Android, Java, PHP, HTML5 Bootstrap, digital marketing, SEO, Social media marekting, Wordpress, Shopify, HTML CSS, CSS3, IOS, Web design and development, programming languages, database management system and all other certification courses from highly experienced industry experts.

[techjour]

DO YOU USE #FAAS IN YOUR #APPLICATION?

FaaS stands for Function as a Service, Subset of Serverless architecture. It allows customers to run code in response to events without managing the complex infrastructure, associated with building and launching microservices applications. FaaS helps programmers solely focus on indivisual function in application.

e.g. AWS Lambda Function belongs to FaaS

Techjour assists to Customers to integrate high end technologies to scale their #business, product or application.

[rexettgroup]

As businesses strive for innovation and scalability, cloud computing has become a cornerstone of their digital transformation. Amazon Web Services (AWS) is recognized as a frontrunner among various cloud service providers. Known for its robust cloud infrastructure, AWS offers a variety of solutions that enable businesses to optimize their operations. In this blog, we'll explore how AWS cloud development services, app development solutions, and mobile/web application development services can help businesses achieve greater efficiency, flexibility, and scalability.

[buzzybrains-software]

Top Cloud Computing Companies in India: A Look at AWS Development and DevOps Expertise

As businesses embrace digital transformation, the demand for cloud solutions is rapidly growing, making India a hub for innovative cloud computing companies. With a talented workforce and cost-effective solutions, India stands out as a preferred destination for businesses seeking cloud and DevOps services. From small startups to global enterprises, companies are partnering with Indian tech providers to leverage the full potential of cloud technology, especially in fields like AWS and DevOps.

Leading Cloud Computing Organisations in India

In recent years, cloud computing has shifted from a trend to a necessity and numerous cloud computing companies in India have emerged as pioneers in the field. These companies offer a range of services, from cloud infrastructure management to scalable application development, ensuring that clients achieve flexibility, efficiency and security. The adoption of cloud-based services has increased due to the demand for secure, scalable and cost-efficient solutions. Companies like TCS, Infosys and Tech Mahindra are key players, providing end-to-end cloud computing and DevOps solutions that span across industries.

AWS Development in India

AWS (Amazon Web Services) has become one of the most popular cloud platforms worldwide, powering businesses with scalable, on-demand cloud solutions. AWS development in India has flourished, with companies offering extensive support for AWS services like computing, storage, analytics and machine learning. India’s AWS developers have gained recognition for their expertise in creating applications that harness the full capabilities of AWS, making them valuable partners for businesses aiming to optimize their cloud strategy.

Why DevOps Companies in India Are in Demand

As businesses aim for faster, more reliable software delivery, DevOps has become integral to digital transformation. DevOps companies in India are at the forefront of delivering continuous integration and continuous delivery (CI/CD) pipelines, automation and enhanced collaboration between development and operations teams. Indian DevOps providers focus on streamlining workflows, enabling companies to release features swiftly and efficiently. By leveraging DevOps, businesses reduce errors, enhance agility and improve deployment speed—advantages crucial in today’s fast-paced digital economy.

BuzzyBrains: A Noteworthy Player in the Field

One company making strides in cloud computing and DevOps services is BuzzyBrains. Established in Pune, India, BuzzyBrains Software (I) Pvt. Ltd. has positioned itself as a premier provider of cloud solutions and product development. Specializing in mobile app development, automation, cloud enablement and migration, BuzzyBrains is helping businesses worldwide to scale and modernize their infrastructure. BuzzyBrains’ approach to AWS development and DevOps enables companies to focus on growth while leaving the complex, technical details in capable hands.

BuzzyBrains has built a reputation for prioritizing employee satisfaction and this culture of care extends to its clients. By adopting an employee-centric approach, BuzzyBrains has cultivated a high-performing team of developers and cloud specialists who bring dedication and innovation to every project. The company offers end-to-end cloud services, from infrastructure setup to data engineering and stands out for its focus on delivering customised, results-oriented solutions.

The Future of Cloud Computing and DevOps in India

As technology evolves, cloud computing and DevOps will continue to drive change in the IT landscape. Indian companies, including BuzzyBrains, are well-positioned to lead this shift, offering cutting-edge services in cloud and AWS development that cater to global clients. By harnessing the expertise of Indian cloud computing and DevOps providers, businesses can secure a competitive edge, enabling them to innovate, scale and succeed in an ever-evolving digital world.

In summary, cloud computing companies in India like BuzzyBrains are setting high standards with their robust AWS and DevOps capabilities. As more companies recognize the value of these services, India’s influence in cloud technology and development will only continue to grow.

[bespokesoftwaredevelopment-blog]

Ficode is excited to introduce our new AWS Cloud Services, designed to help businesses leverage the full power of Amazon Web Services for enhanced scalability, security, and performance. Our AWS-certified experts offer a comprehensive range of cloud solutions, including cloud migration, infrastructure management, and cloud-native application development. Whether you're looking to optimize your cloud environment or build new solutions on AWS, Ficode delivers tailored strategies to ensure seamless integration, cost efficiency, and robust performance. Unlock the potential of AWS with our cutting-edge cloud services, driving your business forward.

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AI Costs Are Accelerating — Here’s How to Keep Them Under Control

New Post has been published on https://thedigitalinsider.com/ai-costs-are-accelerating-heres-how-to-keep-them-under-control/

AI Costs Are Accelerating — Here’s How to Keep Them Under Control

Cloud usage continues to soar, as do its associated costs — particularly, of late, those driven by AI. Gartner analysts predict worldwide end-user spending on public cloud services will swell to $723.4 billion in 2025, up from just under $600 billion in 2024. And 70% of executives surveyed in an IBM report cited generative AI as a critical driver of this increase.

At the same time, China’s DeepSeek made waves when it claimed it took just two months and $6 million to train its AI model. There’s some doubt whether those figures tell the whole story, but if Microsoft and Nvidia’s still-jolted share prices are any indication, the announcement woke the Western world up to the need for cost-efficient AI systems.

To date, companies have been able to treat mounting AI costs as R&D write-offs. But AI costs — especially those associated with successful products and features — will eventually hit companies’ cost of goods sold (COGS) and, consequently, their gross margins. AI innovations were always destined to face the cold scrutiny of business sense; DeepSeek’s bombshell announcement just shortened that timeline.

Just like they do with the rest of the public cloud, companies will need to manage their AI costs, including both training and consumption costs. They’ll need to connect AI spending with business outcomes, optimize AI infrastructure costs, refine pricing and packaging strategies, and maximize the return on their AI investments.

How can they do it? With cloud unit economics (CUE).

What is cloud unit economics (CUE)?

CUE comprises the measurement and maximization of cloud-driven profit. Its fundamental mechanism is connecting cloud cost data with customer demand and revenue data, revealing the most and least profitable dimensions of a business and thus showing companies how and where to optimize. CUE applies across all sources of cloud spending, including AI costs.

The foundation of CUE is cost allocation — organizing cloud costs according to who and/or what drives them. Common allocation dimensions include cost per customer, cost per engineering team, cost per product, cost per feature, and cost per microservice. Companies using a modern cost management platform often allocate costs in a framework that mirrors their business structure (their engineering hierarchy, platform infrastructure, etc.).

Then, the heart of CUE is the unit cost metric, which compares cost data with demand data to show a company their all-in cost to serve. For example, a B2B marketing company might want to calculate its “cost per 1,000 messages” sent via its platform. To do this, it would have to track its cloud costs and the number of messages sent, feed that data into a single system, and instruct that system to divide its cloud costs by its messages and graph the result in a dashboard.

Since the company started with cost allocation, it could then view its cost per 1,000 messages by customer, product, feature, team, microservice, or whatever other view it deemed reflective of its business structure.

The results:

Flexible business dimensions by which they can filter their unit cost metric, showing them which areas of their business are driving their cloud costs

An illuminating unit cost metric that shows them how efficiently they’re meeting customer demand

The ability to make targeted efficiency improvements, like refactoring infrastructure, tweaking customer contracts, or refining pricing and packaging models

CUE in the AI age

In the CUE model, AI costs are just one more source of cloud spending that can be incorporated into a business’s allocation framework. The way that AI companies disseminate cost data is still evolving, but in principle, cost management platforms treat AI costs in much the same way as they treat AWS, Azure, GCP, and SaaS costs.

Modern cloud cost management platforms allocate AI costs and show their efficiency impact in the context of unit cost metrics.

Companies should allocate their AI costs in a handful of intuitive ways. One would be the aforementioned cost per team, an allocation dimension common to all sources of cloud spending, showing the costs that each engineering team is responsible for. This is particularly useful because leaders know exactly who to notify and hold accountable when a particular team’s costs spike.

Companies might also want to know their cost per AI service type — machine learning (ML) models versus foundation models versus third-party models like OpenAI. Or, they could calculate their cost per SDLC stage to understand how an AI-powered feature’s costs change as it transitions from development to testing to staging and finally to production. A company could get even more granular and calculate its cost per AI development lifecycle stage, including data cleansing, storage, model creation, model training, and inference.

Zooming out from the weeds a bit: CUE means comparing organized cloud cost data with customer demand data and then figuring out where to optimize. AI costs are just one more source of cloud cost data that, with the right platform, fit seamlessly into a company’s overall CUE strategy.

Avoiding the COGS tsunami

As of 2024, only 61% of companies had formalized cloud cost management systems in place (per a CloudZero survey). Unmanaged cloud costs soon become unmanageable: 31% of companies — similar to the portion who don’t formally manage their costs — suffer major COGS hits, reporting that cloud costs consume 11% or more of their revenue. Unmanaged AI costs will only exacerbate this trend.

Today’s most forward-thinking organizations treat cloud costs like any other major expenditure, calculating its ROI, breaking that ROI down by their most critical business dimensions, and empowering the relevant team members with the data needed to optimize that ROI. Next-generation cloud cost management platforms offer a comprehensive CUE workflow, helping companies avoid the COGS tsunami and bolster long-term viability.

[8848-d]

Best AWS Cloud Services in Nepal

If you are looking for best AWS cloud services in Nepal, then you can consult ThinkMove Solutions! As per my research this IT company in Nepal provides all cloud services in fulfilled way!