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AWS reimagines the getting started experience

AWS has reimagined the getting started experience with smart and sensible defaults to help developers get started fast so that they can focus on building. New customers can sign up and get started right away with $100 in Free Tier credits, managed project environments, and simplified team and resource permissions. If their workload evolves, customers can activate advanced features to access the full breadth and depth of AWS in one step, with no migration required.

Published By From AWS News Blog · 1 min read

Amazon Web Services (AWS) started with a handful of foundational infrastructure services such as Amazon Simple Storage Service (Amazon S3) , Amazon Elastic Compute Cloud (Amazon EC2) , and Amazon Simple Queue Service (Amazon SQS) , so that anyone with an idea could start building. As the world’s largest companies and governments adopted AWS, they asked for features to optimize their configuration for a range of global business contexts, security requirements, and operational needs. To meet these needs, AWS expanded globally through new Regions and added breadth and depth of services in security, networking, governance, and cost controls, so those customers could operate wherever they needed and at the scale they require.

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Kubernetes v1.36: In-Place Vertical Scaling for Pod-Level Resources Graduates to Beta

Following the graduation of Pod-Level Resources to Beta in v1.34 and the General Availability (GA) of In-Place Pod Vertical Scaling in v1.35, the Kubernetes community is thrilled to announce that In-Place Pod-Level Resources Vertical Scaling has graduated to Beta in v1.36! This feature is now enabled by default via the InPlacePodLevelResourcesVerticalScaling feature gate. It allows users to update the aggregate Pod resource budget (.spec.resources) for a running Pod, often without requiring a container restart.

19 Oct 2026 · 3 min readTechnology

Kubernetes v1.36: Pod-Level Resource Managers (Alpha)

Kubernetes v1.36 introduces Pod-Level Resource Managers as an alpha feature, bringing a more flexible and powerful resource management model to performance-sensitive workloads. This enhancement extends the kubelet's Topology, CPU, and Memory Managers to support pod-level resource specifications (.spec.resources), evolving them from a strictly per-container allocation model to a pod-centric one. Why do we need pod-level resource managers?When running performance-critical workloads such as machine learning (ML) training, high-frequency trading applications, or low-latency databases, you often need exclusive, NUMA-aligned resources for your primary application containers to ensure predictable performance.

19 Oct 2026 · 5 min readTechnology

Kubernetes v1.36: Admission Policies That Can't Be Deleted

If you've ever tried to enforce a security policy across a fleet of Kubernetes clusters, you've probably run into a frustrating chicken-and-egg problem. Your admission policies are API objects, which means they don't exist until someone creates them, and they can be deleted by anyone with the right permissions. There's always a window during cluster bootstrap where your policies aren't active yet, and there's no way to prevent a privileged user from removing them.

19 Oct 2026 · 5 min read