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Platform Engineering
標記為 Platform Engineering 的文章。
NVIDIA NVKE and NVKR: Why GPU Kubernetes Is Becoming the AI Factory's Operating System
NVIDIA has open-sourced NVIDIA Kubernetes Engine (NVKE) and NVIDIA Kubernetes Recipes (NVKR) to run managed Kubernetes on GPU infrastructure. What they do in plain terms, what public preview really means, why AI engineering is creating new demand for cloud and DevOps skills, and who should evaluate them now.
Balinder Walia閱讀 
Gateway API Replaces Ingress: A Step-by-Step Migration Playbook
Ingress NGINX is retired and Ingress is frozen. This playbook maps Ingress fields and annotations to Gateway and HTTPRoute, flags the ingress-nginx behaviours that break, and walks through conversion, side-by-side testing, weighted cutover and rollback.
DynaCI and runtime-grounded CI: better GitHub Actions workflows
DynaCI, an October 2026 research preprint, drafts GitHub Actions workflows from traces of real local runs. What its results show, what they do not, and a playbook to lint, test, harden and review every workflow you ship.
Code as infrastructure: one reviewed path for every production change
Infrastructure as code made servers into files. Code as infrastructure goes further: desired state, policy, pipelines and AI agent access all live in Git, are checked by policy, applied by automation and watched for drift. A practical playbook.
Decoupling Network Policy in Kubernetes: One Owner per Rule
Network rules scattered across annotations, app config and stray NetworkPolicies slow every change. Here is how to split them into layers with one owner each, using ClusterNetworkPolicy, NetworkPolicy and Gateway API, plus a step-by-step migration playbook.
Trading costs with agents: what an AI agent really costs to run
AI agents move cost rather than remove it. Learn why the token bill grows with the square of loop steps, how caching and compaction bend the curve, and a playbook for pricing, budgeting and capping an agent before it reaches production.
Hybrid Execution for Coding Agents: Macro Skills, Micro Recovery
Bundled macro skills make coding agents cheap but brittle; primitive tool calls make them robust but costly. Here is how to run macros first, verify every result, and fall back to small steps only when the workspace shows it is needed.
Generative AI's Hidden Impact on Developers: What Surveys Miss
Developers say AI makes them faster, but the evidence shows hidden costs: almost-right answers, a gap between felt and measured speed, tool admin work and accessibility barriers. Here is what the research says and how to measure it in your team.
Beyond Unit Tests: Testing How Your System Fails and Recovers
Unit tests prove a function is correct, not that a system survives a slow database or a lost zone. A practical guide to cold-start integration tests, fault injection with Toxiproxy, circuit breakers, recovery drills and safely automated mitigation.
