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Building & scaling with Kubernetes just got simpler! Announcing Amazon EKS Capabilities - fully managed features that handle the complex parts of Kubernetes operations. Deploy apps, manage AWS resources, and scale across regions through familiar interfaces. Focus on innovation, not infrastructure.

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Amazon Web Services

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3,765,297 просмотров • 7 месяцев назад •via X (Twitter)

Наука и технологии
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Someone built Kubernetes that runs entirely in your browser. This might be the easiest way to learn Kubernetes. - No Docker. - No Minikube. - No Kind. - No EKS. - No installation. Just open a webpage and start exploring Pods, Deployments, ReplicaSets, Nodes, scheduling, networking, and more. The engineering behind it is incredible. Kubernetes is written in Go, but instead of compiling it to the browser, the developer rewrote major Kubernetes components in TypeScript so they could run natively inside the browser. This is one of the best examples of using AI I've seen. AI helped port thousands of lines of Kubernetes code, while the developer manually reviewed everything and validated it with extensive tests to make sure it behaves like a real cluster. ⚠️ It's not for running production workloads. It's built for learning, teaching, experimenting, and preparing for DevOps interviews. Imagine onboarding new engineers or teaching Kubernetes without asking everyone to spend an hour installing Docker, configuring Minikube, or creating an EKS cluster. I genuinely think projects like this will change how we learn infrastructure. Interactive labs > Static documentation. Blog Post:

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I'm very pleased to to share that I’ve now completed what I believe to be the most detailed and up-to-date Kubernetes and Cloud Native (KCNA) certification course available 🚀 Dive Into Cloud Native, Containers, Kubernetes and the and the Cloud Native Associate (KCNA). More than a certification course, it’s a transformational journey to becoming a certified Kubernetes professional 🌟 📚 What sets this course apart? This course covers the CNCF's entire KCNA curriculum and more, taking you from the fundamentals to advanced mastery in Containers, Docker, Kubernetes, and Cloud Native technologies. Surpassing the knowledge required to achieve this qualification and providing you with knowledge that will help you in any career. You will also bootstrap the likelihood of success with paths that follow the KCNA such as the CKA, CKAD, Prometheus and GitOps qualifications! 🛠️ Course Features (see the Video for examples): 🖥️ Interactive Hands-On Labs: Dive deep into Kubernetes with our incredible browser-based labs 🎥 In-Depth Video Tutorials: Learn complex concepts through high-quality, engaging videos 📝 Study Tips: Get insider tips before each lesson to maximise your study efficiency ✅ Quizzes: Test your knowledge and reinforce learning at every step 📚 Further Study: Explore beyond the course with curated resources for deeper learning 🏆 3 x Practice Exams: Simulate the real KCNA exam prior to booking to experience to ensure you’re fully prepared! I’m confident that with the comprehensive materials provided that anyone who puts the time and effort in will achieve the Kubernetes and Cloud Native Associate Certification 🏅 🔗 Check out the video for more details. The course is available on my site, and with this announcement I’m excited to continue the early access offer for a small amount of time further! #Kubernetes
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🔥 Launching the Fireworks AI Experimentation Platform (GA) and Build SDK (Beta)🔥 Top AI teams don't win by chance - they win by running 10X more experiments than competitors. Launching early, collecting feedback, tuning and selecting models, running offline evals, and validating impact with product metrics in a fast, continuous cycle is critical to build successful AI products. But, the need to manage complex infrastructure, wait for GPUs, reconcile differences between training and serving, and maintain reliability, slow AI teams down. Now, with the Firework’s experimentation platform, experimenting with open models just got a whole lot easier. With the help of our brand-new Python SDK (in beta), you can: → Stop waiting for GPUs, fine-tune and deploy 1000s of models on a single GPU deployment using Multi-LoRA → Programmatically run large-scale fine-tuning experiments → Scale evals with fully managed and autoscaling GPU deployments Check out our blog post to learn more and see a demo of running 125 experiments in 3 minutes on a single deployment:

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Almost 20 years later, AWS is still the most popular cloud in the world. The reason is simple: it just works! They have four services focused on Generative AI: 1. Amazon Q 2. Amazon Bedrock 3. SageMaker JumpStart 4. PartyRock I've been using AWS for around 15 years (honestly, I don't remember well), and their Developer Center is a gold mine. If you open their Developer Center, you'll find a new learning path, "Generative AI for Developers." I'm linking to it below. This is not just a course. This is a collection of courses, examples, videos, tutorials, and code walkthroughs. They will teach you how to use Generative AI on AWS using the four services above. ↑ That right there is a huge selling point: These classes aren't just theoretical. You'll have a chance to learn using the same professional tools everyone else uses. By the way, there are many more resources in the Developer Center: • Machine Learning • Data Operations • DevOps All of these are free. Click, click, and start learning right away. One more thing before I forget: If you are building anything with AWS, check out Amazon Q, their coding assistant. This is the *best* coding assistant for AWS-related work, and it's not even close. It's a Visual Studio Code extension. Install it, and it works like any other code assistant, except this one knows a lot about AWS. Thanks to AWS for sponsoring a post about their free courses and learning resources. There's a special place in Developer Heaven for you.

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A dramatic tornado-like weather phenomenon swept through parts of Thoothukudi district on Sunday evening, leaving a trail of destruction across homes, roadside infrastructure, a toll plaza and a private theme park, even as meteorologists clarified that the event was not a tornado but a powerful thunderstorm updraft associated with a cumulonimbus cloud system. Watch video. #tornado #tamilnadu

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Over the weekend I witnessed something every crypto investor should pay attention to. Ethereum, the largest blockchain in the world, got congested and fees skyrocketed past $1,000 just to process small transactions. That’s like paying a thousand-dollar toll to drive on a one-lane highway. It proves what I’ve been saying for years: when real traffic hits the system, it cracks under pressure. For over a decade we’ve talked about going on-chain, and now with real-world adoption finally happening, the cracks are showing. Innovation isn’t just about hype or speculation, it’s about building infrastructure that can actually handle scale.
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Over the weekend I witnessed something every crypto investor should pay attention to. Ethereum, the largest blockchain in the world, got congested and fees skyrocketed past $1,000 just to process small transactions. That’s like paying a thousand-dollar toll to drive on a one-lane highway. It proves what I’ve been saying for years: when real traffic hits the system, it cracks under pressure. For over a decade we’ve talked about going on-chain, and now with real-world adoption finally happening, the cracks are showing. Innovation isn’t just about hype or speculation, it’s about building infrastructure that can actually handle scale.

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On Bloomberg last night, I was asked why Amazon drives more than a third of U.S. e-commerce. It is not because of their storefront. It is not because of their payments. It is not even because of product selection. It is because consumers trust their deliveries. That trust is built on physical infrastructure at scale with intelligence layered on top. And that is what Stord is building for every independent merchant. The most defensible companies in the world combine software intelligence with physical execution. Today, 9 of the 10 largest U.S. companies by revenue operate physical networks at scale. Software alone cannot replicate the outcomes created when you control the movement of physical atoms. That is the physical intelligence layer for commerce. And that is what Stord Labs is built to advance. Deploying AI and robotics against real operational complexity, in the real world, across a vertically integrated network operating at scale. Bloomberg TV
5:51

On Bloomberg last night, I was asked why Amazon drives more than a third of U.S. e-commerce. It is not because of their storefront. It is not because of their payments. It is not even because of product selection. It is because consumers trust their deliveries. That trust is built on physical infrastructure at scale with intelligence layered on top. And that is what Stord is building for every independent merchant. The most defensible companies in the world combine software intelligence with physical execution. Today, 9 of the 10 largest U.S. companies by revenue operate physical networks at scale. Software alone cannot replicate the outcomes created when you control the movement of physical atoms. That is the physical intelligence layer for commerce. And that is what Stord Labs is built to advance. Deploying AI and robotics against real operational complexity, in the real world, across a vertically integrated network operating at scale. Bloomberg TV

Sean Henry

1,275,331 просмотров • 2 месяцев назад

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2:29

How do you deploy AI agents for financial institutions without compromising on security, isolation, or scale? Rogo powers complex research, analysis, and deal workflows for leading financial firms, supporting complex tasks across tens of thousands of concurrent users. To meet the diverse needs of financial teams, Rogo relies on both specialist and general-purpose agents that can adapt to a wide range of workflows. With Claude Managed Agents and self-hosted sandboxes, Rogo gets the orchestration and post-training capabilities needed to design these agent systems, while E2B provides the execution layer underneath. Every piece of code generated by an agent runs inside its own E2B sandbox with full auditability and traceability. Each sandbox is powered by an isolated microVM, providing the kernel-level isolation critical for Rogo's customers. The result is a seamless agent experience backed by the security, reliability, and compliance requirements that financial institutions demand.

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