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If you’ve ever created a website, built a backend API, or even deployed a simple app on your laptop or a cloud service, you know this:✅ Apps need to run somewhere — a laptop, a server, or in the cloud✅ You need to install dependencies (libraries, runtimes, etc.) for the app to work properly✅ Moving your app from your laptop to another system often breaks things — different OS versions, missing libraries, and so onThat’s where containers come in...View the full article

We are delighted to introduce the new AWS Well-Architected Generative AI Lens. The AWS Well-Architected Framework provides architectural best practices for designing and operating generative AI workloads on AWS. The Generative AI Lens uses the Well-Architected Framework to outline the steps for performing a Well-Architected Framework Review for your generative AI workloads.The Generative AI Lens provides a consistent approach for customers to evaluate architectures that use large language models (LLMs) to achieve their business goals. This lens addresses common considerations relevant to model selection, prompt engineering, model customization, workload integration, and continuous improvement. Specifically excluded from this lens are best practices associated with model training and advanced model customization techniques. We identify best practices that help you architect your cloud-based applications and workloads according to AWS Well-Architected design principles gathered from supporting thousands of customer implementations.The Generative AI Lens joins a collection of Well-Architected lenses published under AWS Well-Architected Lenses...View the full article

☁️ In 2025, cloud computing is not just a tech trend – it’s the backbone of modern IT careers.Nearly all companies now leverage cloud services in some form (around 96% of enterprises use public cloud — Source: spacelift.io), driving enormous demand for cloud-skilled professionals. Global spending on cloud tech is surging — forecasted to reach $675 billion in 2024, up from $561 billion in 2023 (Source: force4.co), and by 2025, half of the world’s data is expected to reside in cloud environments (Source: armapartners.com).Cloud computing skills are no longer optional—they are foundational for driving innovation and staying competitive in today’s technology landscape.Cloud empowers remote and hybrid work (accessing systems anytime, anywhere), enables real-time collaboration, and fuels digital transformation across industries. For tech professionals, students, career switchers, and hiring managers alike, understanding cloud career paths and opportunities is now a crucial step toward success.In this comprehensive guide, we’ll explore the major cloud service models (IaaS, PaaS, SaaS) and why they matter, outline cloud career paths for beginners through senior experts, discuss top certifications (AWS, Azure, GCP), and highlight the importance of hands-on learning with labs and projects. Whether you’re just starting out or looking to advance into leadership, this guide will help you navigate the skyward rise of cloud computing in 2025 with confidence and inspiration...View the full article

Attending a tech conference like Google Cloud Next can feel like drinking from a firehose — all the news, all the sessions, and breakouts, all the learning and networking... But after a busy couple of days, watching the developer keynote makes it seem like there’s a method to the madness. A coherent picture starts to emerge from all the things that you’ve seen, pointing the way to all the cool things you can do when you get back to your desk.Developer Keynote: You can just build thingsThis year, the developer keynote was hosted by the inimitable duo of Richard Seroter, Google Cloud Chief Evangelist, and Stephanie Wong, Head of Developer Skills and Community, plus a whole host of experts from around Google Cloud product, engineering, and developer advocacy teams. The keynote itself was organized around a noble, relatable goal: Use AI to help remodel AI Developer Experience Engineer Paige Bailey’s 1970s era kitchen. But how? ...View the full article

Google Cloud Next 25 took place this week and we’re all still buzzing! It was a jam-packed week in Las Vegas complete with interactive experiences, including more than 10 keynotes and spotlights, 700 sessions, and 350+ sponsoring partners joining us for an incredible Expo show. Attendees enjoyed hands-on learning across AI innovation, data cloud, modern infrastructure, security, Google Workspace, and more. At our opening keynote, we showcased cutting-edge product innovations across our AI-optimized platform and featured hundreds of customers and partners building with Google Cloud as well as five awesome demos. You can catch up on all the highlights in our 10-minute keynote recap.Our developer keynote showed how AI is revolutionizing the developer workflow, and featured seven incredible demos on everything from building with Gemini to creating multi-agent systems...View the full article

We are excited to share the launch of the next iteration of the GPT model series with GPT-4.1, 4.1-mini, and 4.1-nano to Microsoft Azure OpenAI Service. The GPT-4.1 models bring improved capabilities and significant advancements in coding, instruction following, and long-context processing that is critical for developers. We’re also excited to announce fine-tuning support for GPT-4.1 and 4.1-mini, allowing developers to further customize the models for their specific business needs...The post Announcing the GPT-4.1 model series for Azure AI Foundry developers appeared first on Microsoft Azure Blog.View the full article

Welcome to the next episode in our GitHub for Beginners series, where we are diving into the world of GitHub Copilot. This is our fourth episode, and we’ve already talked about Copilot in general, some of its essential features, and how to write good prompts to get the most out of Copilot. We have all the previous episodes on our blog and available as videos.Today we’re going to be talking about security. Everyone knows that you should make your code secure and no one wants to be responsible for any potential hacks. But did you know that GitHub Copilot can help you with some security best practices? We’ll show you how you can use it and other tools to help make your projects more secure from day one...The GitHub BlogGitHub for Beginners: Security best practices with GitHub...Learn how to leverage GitHub Copilot to make your code more secure.

OpenAI today updated ChatGPT with an improved memory feature that allows the chatbot to remember more about your conversations. OpenAI CEO Sam Altman says that ChatGPT can "reference all your past conversations," allowing for a more personalized experience...View the full article

Hello from Google Cloud Next 25 in Las Vegas! This year, it’s all about how AI can reimagine work and improve our lives — even bringing Hollywood classics like The Wizard of Oz to life on one of the biggest screens in the world.Here’s a taste of all the things that we announced today, across infrastructure, research and models, Vertex AI, and agents...View the full article

Databricks Secures Google Cloud Technology Partner of the Year Award for Data & Analytics - Smart Analytics! We’re excited to announce that Databricks has beenView the full article

Have you ever wondered how websites like google.com or kodekloud.com actually work behind the scenes?You type a name into your browser and magically land on a webpage. But behind that magic is something called DNS— the Domain Name System.In this beginner-friendly guide, we'll break down what DNS is, why it matters, and how it works using simple examples...View the full article

It’s an honor to announce the 2025 Google Cloud Partner of the Year winners!It takes a lot to build great AI and cloud technology. Advancements and innovation come from collaboration, and Google Cloud has thousands of partners to make this happen. Among these, we're excited to recognize dozens who take our work to the next level. These distinguished partners have demonstrated incredible dedication, innovation, and collaboration in delivering impactful solutions that drive success for our customers. Their contributions to the Google Cloud community are truly remarkable and deserve to be recognized.Please join us in congratulating the winners in the following categories on their outstanding achievements...View the full article

Data storage has been evolving, from databases to data warehouses and expansive data lakes, with each architecture responding to different business and data needs. Traditional databases excelled at structured data and transactional workloads but struggled with performance at scale as data volumes grew. The data warehouse solved for performance and scale but, much like the databases that preceded it, relied on proprietary formats to build vertically integrated systems. Data lake systems moved to more open formats but lacked the functional benefits that warehouses provide, such as ACID-compliant transactions, comprehensive governance and more. Ultimately, users found themselves stuck between two options: either a fully integrated platform with only proprietary solutions available or a resource-intensive, build-it-yourself, vendor-neutral data lake in a constant state of migration, in hopes of finally capturing promised value...View the full article

Multi-cloud – the practice of using multiple cloud providers and platforms for different workloads – is quickly becoming a cornerstone of modern enterprise IT strategy. Instead of relying on a single cloud vendor, businesses are distributing their applications and services across a mix of public and private clouds to best meet specific requirements.This approach is no longer a niche consideration; it’s essential for organizations aiming to achieve greater agility and resilience. In fact, industry research shows that multi-cloud adoption is soaring – Gartner reports that over 75% of organizations use multiple public cloud services, and another survey found 87% of enterprises already have a multi-cloud strategy in place. This growing trend underlines the strategic importance of multi-cloud: it empowers businesses to leverage the strengths of different cloud providers while mitigating the risks of an all-eggs-in-one-basket approach...View the full article

This week was a momentous one as Microsoft turned 50. On top of that, we finally saw the Nintendo Switch 2 in all its glory, and Sony's new OLED tech floored us.To catch up on all that and the other biggest stories of the week, we've rounded them up here. There's a quick recap of each story, and links to further reading if you're desperate to know more.Once you're up to speed on the news, be sure to check out our picks for the 7 new movies and TV shows to stream this weekend (April 4)...View the full article

Welcome back to season two of GitHub for Beginners, a series designed to help you navigate GitHub more confidently! So far, we’ve explored how to use GitHub Copilot and some of its essential features. Today, we will be learning all about large language models (LLMs) and the basics of prompt engineering.LLMs are powerful, and the way we interact with them via prompts matters. For example, have you ever tried asking an LLM a question, but it can’t really figure out what you’re trying to ask? Understanding the power of prompts (and the limitations that come with them) can help you become even more productive.In this post, we’ll explore:How LLMs work and how prompts are processed.How to engineer the most effective prompts.How to troubleshoot prompts when we don’t get the outcomes we want.For all demos in this series, we use GitHub Copilot in Visual Studio Code.Copilot is available in other IDEs, but the available functionality may vary depending on your environment. Learn more about supported IDEs >Let’s get started! ...The GitHub BlogGitHub for Beginners: How to get LLMs to do what you wantLearn how to write effective prompts and troubleshoot results in this installment of our GitHub for Beginners series.

The post Top AI enabled Code Editors & Tools for Programmer appeared first on DevOpsSchool.com.View the full articleTop AI-Enabled Code Editors (As of January 2025)Tool NameDeveloperFree/PaidUser Rating (Out of 5)Release YearCore FeaturesBest ForGitHub CopilotGitHub/OpenAIPaid ($10/month)4.82021Real-time code suggestions, autocompletion, code blocksAccelerating coding and reducing errorsTabnineTabnine Inc.Free (limited), Paid ($12/month)4.72020Context-aware completions, supports 70+ languagesImproving productivity and speedAmazon Q DeveloperAmazon Web ServicesFree (limited), Paid (AWS-integrated)4.62022Cloud-native coding, AWS service integrationCloud and serverless application codingCodeiumCodeiumFree4.52023Autocompletion, code generation, AI chatFree coding assistance across IDEsCursor AICursorFree4.42024AI-driven editor, syntax correction, built-in debuggerNew-age AI-driven developmentProject IDXGoogleFre4.62024AI-assisted coding, emulators for iOS/AndroidWeb and cross-platform developmentReplit GhostwriterReplitPaid ($7/month)4.72023AI-powered collaboration, real-time coding suggestionsCollaborative learning and codingBeautiful.aiBeautiful.aiPaid (Pricing varies)4.62020Streamlined UI generation for coding solutionsProfessional developmentIntelliCode (VS Code)MicrosoftFree4.82018Integrated with VS Code, real-time AI-driven suggestionsMicrosoft ecosystem developers

Within the big data and analytics space there are two names at the forefront of conversation: Apache Spark and Databricks. While they’re closely related, they serve very different purposes in the data ecosystem. Understanding their core differences is critical for architects, developers, and data engineers looking to build scalable, high-performance data solutions in the cloud. […]The article Databricks vs Apache Spark: Key Differences and When to Use Each was originally published on Build5Nines. To stay up-to-date, Subscribe to the Build5Nines Newsletter.View the full article

OpenAI has announced a substantial new funding round, raising $40 billion at a $300 billion post-money valuation. The financing, revealed on March 31, 2025, is backed by SoftBank Group and will be used to advance OpenAI’s research towards artificial general intelligence (AGI), expand compute capacity, and enhance its AI product ecosystem. Scaling Towards AGI The […]The article OpenAI Secures $40 Billion Funding Round Led by SoftBank to Advance AGI Research was originally published on Build5Nines. To stay up-to-date, Subscribe to the Build5Nines Newsletter.View the full article

Thanks to everyone who joined us for the fifth annual AWS Pi Day on March 14. Since its inception in 2021, commemorating the Amazon Simple Storage Service (Amazon S3) 15th anniversary, AWS Pi Day has grown into a flagship event highlighting the transformative power of cloud technologies in data management, analytics, and AI.This year’s virtual event featured in-depth discussions with Amazon Web Services (AWS) product teams showcasing our continued innovation in helping customers build robust data foundations for analytics and AI workloads.Missed the live event? You can still access all content on-demand at the event page. Whether you’re developing data lakehouses, training AI models, creating generative AI applications, or optimizing analytics workloads, the shared insights will help you maximize the value of your data...View the full article

Amazon EC2 high memory U7i Instances – These instances with up to 32 TiB of DDR5 memory and 896 vCPUs are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). These high memory instances are designed to support large, in-memory databases including SAP HANA, Oracle, and SQL Server. To learn more, visit Jeff’s blog post.

New Amazon Connect analytics data lake – You can use a single source for contact center data including contact records, agent performance, Contact Lens insights, and more — eliminating the need to build and maintain complex data pipelines. Your organization can create your own custom reports using Amazon Connect data or combine data queried from third-party sources. To learn more, visit Donnie’s blog post.

Amazon Bedrock Converse API – This API provides developers a consistent way to invoke Amazon Bedrock models removing the complexity to adjust for model-specific differences such as inference parameters. With this API, you can write a code once and use it seamlessly with different models in Amazon Bedrock. To learn more, visit Dennis’s blog post to get started.

This month, we launched 19 new digital training products on AWS Skill Builder, including two new AWS Digital Classroom courses (Digital Classroom – Developing Generative AI Applications on AWS and Digital Classroom – Security Engineering on AWS), nine new digital courses, two new AWS Partner courses (both include an Accreditation Badge to be awarded upon successful completion of the final assessment), and localized versions (Japanese, Korean, Simplified Chinese) of Exam Prep ...

This was a busy week for Amazon Bedrock with many new features! Using GitHub Actions with AWS CodeBuild is much easier. Also, Amazon Q in Amazon CodeCatalyst can now manage more complex issues...

We’re redefining the developer environment with GitHub Copilot Workspace–where any developer can go from idea, to code, to software in natural language...

AWS Summits continue to rock the world, with events taking place in various locations around the globe. AWS Summit London (April 24) is the last one in April, and there are nine more in May, including AWS Summit Berlin (May 15–16), AWS Summit Los Angeles (May 22), and AWS Summit Dubai (May 29). Join us to connect, collaborate, and learn about AWS!