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Implementing assurance pipeline for Amazon EKS Platform

AWS released a full-stack CI/CD validation pipeline forAmazon EKS. It pulls in six layers of testing,Terraform,Helm,Locustload testing, and evenAWS Fault Injectionfor pushing resilience to the edge. The goal: bake policy checks, functional tests, and brutal load tests right into pre-deployment. Fewe.. read more  

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From Deterministic to Agentic: Creating Durable AI Workflows with Dapr

Dapr droppedDurable Agents- a mashup of classic workflows and LLM-driven agents that can actually get things done and survive rough edges. They track reasoning steps, tool calls, and chat states like a champ. If things crash, no problem: Dapr Workflows and Diagrid Catalyst bring it all back... read more  

From Deterministic to Agentic: Creating Durable AI Workflows with Dapr
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v1.35: Watch Based Route Reconciliation in the Cloud Controller Manager

Kubernetes v1.35 sneaks in an alphafeature gatethat flips the CCM route controller from "check every X minutes" to "watch and react." It now usesinformersto trigger syncs when nodes change - plus a light periodic check every 12–24 hours... read more  

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v1.35: New level of efficiency with in-place Pod restart

Kubernetes 1.35, as you may know, introducedin-place Pod restarts(alpha). It's a real reset: all containers, init and sidecars included - without killing the Pod or kicking off a reschedule. Think restart without the cloud drama. Big win for workloads with heavy inter-container dependencies or massi.. read more  

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1.35: Enhanced Debugging with Versioned z-pages APIs

Kubernetes 1.35 makes a quiet-but-crucial upgrade: z-pages debugging endpoints now returnstructured, machine-readable JSON. That means tools- not just tired humans - can parse control plane state directly. The responses areversioned, backward-compatible, and tucked behind feature flags for now... read more  

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@kala shared a link, 1 month, 3 weeks ago
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The 2026 Data Engineering Roadmap: Building Data Systems for the Agentic AI Era

Data engineering’s getting flipped.AI agentsandLLMsaren’t just tagging along anymore - they’re the main users now. That means engineers need to buildcontext-aware, machine-readable data systemsthat don’t just store info but actually make sense of it. Think:vector databases,knowledge graphs,semantic .. read more  

The 2026 Data Engineering Roadmap: Building Data Systems for the Agentic AI Era
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@kala shared a link, 1 month, 3 weeks ago
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Streamlining Security Investigations with Agents

Slack broke down how it's threading AI into its product without torching user trust.Slack AIleans hard ontenant-specific data isolationandzero data retention- no leftover crumbs from LLM interactions. Instead of piping user data through someone else’s APIs, Slack runs LLMs onits own infrawhere it ca.. read more  

Streamlining Security Investigations with Agents
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@kala shared a link, 1 month, 3 weeks ago
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2025: The year in LLMs

2025 was the year LLMs stopped just answering questions and started building things.Reasoning modelslike OpenAI’s o-series and Claude Code took over tool-driven workflows. Asynchronous coding agentsbroke out. These models didn’t just write code - they ran it, debugged it, then did it again. That loo.. read more  

2025: The year in LLMs
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Meet the ‘Mad Max’-Loving CEO Challenging Nvidia With a Renegade Chip

June Paik spurned a takeover offer from Meta Platforms last year. Now his South Korean company, FuriosaAI, has an AI chip entering mass production... read more  

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The Architects of AI Are TIME's 2025 Person of the Year

The Architects of AI drove the economy, shaped geopolitics, and changed the way we interact with the world... read more  

The Architects of AI Are TIME's 2025 Person of the Year
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.