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Well-architected best practices for software supply chain security

AWS security teams define npm supply-chain defense as two tasks: limit credential blast radius and block unverified artifacts before production... read more  

Well-architected best practices for software supply chain security
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The normal work of creating reliability

SREs should study how engineers keep systems reliable during routine work, including the adjustments they make before incidents occur. Tech teams have adoptedSafety-IIat a limited rate because they lack practical models for observing those adjustments... read more  

The normal work of creating reliability
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AWS MCP Server: Complete Guide for Building AI Agents on AWS

Learn how to build powerful AI agents on AWS MCP Server. A complete guide covering setup, architecture, tools, and real-world use cases.

01-Guid to build AI Agent on AWS MCP Server
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AWX in Action

Docker Ansible Kubernetes AWX

Ansible Orchestration at Scale

AWX in Action
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Kata Containers is a Cloud Native Computing Foundation (CNCF) project designed to close the security gap between traditional Linux containers and virtual machines. Instead of sharing a single host kernel like standard containers, Kata Containers launches each pod or container inside its own lightweight virtual machine using hardware virtualization.

This approach dramatically reduces the attack surface and prevents container escape vulnerabilities, making Kata ideal for multi-tenant, untrusted, or sensitive workloads. Despite using VMs under the hood, Kata is optimized for fast startup times and integrates seamlessly with Kubernetes through the Container Runtime Interface (CRI), allowing it to be used alongside runtimes like containerd and CRI-O.

Kata Containers is commonly used in scenarios such as multi-tenant Kubernetes clusters, confidential computing, sandboxed AI workloads, serverless platforms, and agent execution environments where strong isolation is mandatory. It supports multiple hypervisors, including QEMU, Firecracker, and Cloud Hypervisor, and continues to evolve toward faster boot times, lower memory overhead, and better hardware acceleration support.