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@kaptain shared a link, 3 days, 12 hours ago
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v1.36: Tiered Memory Protection with Memory QoS

Kubernetes v1.36 rolls out Memory QoS (alpha). Opt-inmemory reservation. Tiered protection by QoS class. Kubelet observability metrics. Kernel-version warnings. It separatesthrottlingfromreservation. A feature gate enables throttling. A kubelet config field controls tieredcgroup v2protection:Guarant.. read more  

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@kaptain shared a link, 3 days, 12 hours ago
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v1.36: In-Place Vertical Scaling for Pod-Level Resources Graduates to Beta

Kubernetes v1.36 moves In-Place Pod-Level Resources Vertical Scaling to Beta and flips the feature gate on by default. Operators can patch a Pod's aggregate resource to resize running Pods. Often no container restart is needed. Kubelet breaks the Pod-level change into per-container resize events. It.. read more  

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@kaptain shared a link, 3 days, 12 hours ago
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Auto-Diagnosing Kubernetes Alerts with HolmesGPT and CNCF Tools

STCLab built an AI investigation pipeline withHolmesGPT, a 200-linePythonplaybook, andOpenTelemetry. It streamedMimir,Loki, andTempointo Slack threads. Metadata-driven markdownrunbookslimited tools per namespace, cut wasted tool calls from 16 to 2, and let the same model resolve alerts faster... read more  

Auto-Diagnosing Kubernetes Alerts with HolmesGPT and CNCF Tools
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@kaptain shared a link, 3 days, 12 hours ago
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v1.36: Staleness Mitigation and Observability for Controllers

Kubernetes v1.36 shipsclient-goatomicFIFOprocessing and cache-introspection APIs. Controllers detect stale informer state and skip acting on it. kube-controller-managerenables the capability by default for four high-contention pod controllers. It addsalpha metricsfor skipped syncs and informer resou.. read more  

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@kala shared a link, 3 days, 13 hours ago
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An open-weights Chinese model just beat Claude, GPT-5.5, and Gemini in a programming challenge

The AI Coding Contest Day 12 matched ten models on a sliding‑letter puzzle. Open‑weightsKimi K2.6took first: 22 match points (7‑1‑0).MiMo V2‑Proscored second by blasting claims for intact ≥7‑letter seeds (43 points).GPT‑5.5andClaude Opus 4.7landed third and fifth. Grids ran10×10→30×30. Heavy scrambl.. read more  

An open-weights Chinese model just beat Claude, GPT-5.5, and Gemini in a programming challenge
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@kala shared a link, 3 days, 13 hours ago
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Monitoring LLM behavior: Drift, retries, and refusal patterns

Traditional software is predictable due to determinism, while generative AI is unpredictable. Engineers need a new infrastructure layer, the AI Evaluation Stack, to ship enterprise-ready AI products. The stack includes deterministic assertions and model-based assertions to ensure structural integrit.. read more  

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@kala shared a link, 3 days, 13 hours ago
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Introducing the Agent Readiness score. Check to see if your site is agent-ready

Cloudflare launchedIsItAgentReady. It scans200kdomains, scoresagent readiness, publishes weekly adoption charts, and exposes results via anAPI. It checksrobots.txt,llms.txt, content negotiation viaAccept: text/markdown,API Catalog,.well-known/mcp.json, OAuth discovery, andx402payments. Cloudflare ov.. read more  

Introducing the Agent Readiness score. Check to see if your site is agent-ready
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@kala shared a link, 3 days, 13 hours ago
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The AI engineering stack we built internally - on the platform we ship

Cloudflare wired AI into the engineering stack. LLM traffic funnels through aproxy WorkerandAI Gateway. It shippedWorkers AIand theAgents SDK. Daily users hit 3,683 (93% R&D). MR throughput climbed to ~10,952/week.Workers AIhandled 51B input tokens and cut a security agent's inference spend by 77%... read more  

The AI engineering stack we built internally - on the platform we ship
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@kala shared a link, 3 days, 13 hours ago
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Multi-Agent System Reliability

LLMs are unreliable out of the box, but multi-agent systems can improve by dividing work among specialized agents. Building robust systems involves leveraging human system patterns like hierarchy, consensus, adversarial debate, and knock-out in a multi-agent architecture to ensure correctness and re.. read more  

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@devopslinks shared a link, 3 days, 15 hours ago
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How incidents can teach us about what’s already working well

A famous optical illusion developed by Edward H. Adelson shows that two squares, despite appearing different in shade, are actually the same gray. This illusion demonstrates how the brain processes light, shadow, and objects when interpreting visual signals from the optic nerve. Studying such illusi.. read more  

How incidents can teach us about what’s already working well
Syself Autopilot takes care of the entire lifecycle of clusters, from provisioning to scaling, updates and other day-2 tasks. Free up your teams to work on what really matters . Use Kubernetes, don't manage.

For companies in need of tailored services, we have a dedicated team of experts in delivering cloud-native software and enterprise-grade infrastructure configuration.

Why Choose Syself:
• We've built and maintained the most popular Cluster API Provider, that manages thousands of servers in production at Hetzner
• We actively participate in the Kubernetes community, contributing to other provider integrations and the Cluster API project, ensuring alignment with community standards
• We have a team of experts distributed in 4 continents, aways ready to assist you with urgent issues or tailored advice
• We've won a public tender from the German government to build a Kubernetes-as-a-service framework for managing cluster lifecycle, aiding the government and agencies to use Cluster API

About Syself Autopilot:
• Pre-built, immutable base for 100% reproducible clusters
• Declarative, idempotente cluster definition as Kubernetes resources
• Fully compatible with GitOps and other Kubernetes-native tools
• GDPR compliant
• One click or automated upgrades of clusters, including OS, Kubernetes control and data planes and add-ons
• Self-healing: automated issue detection and fixes, without human intervention
• Users own the entire infrastructure, including control planes