Блог Workstation
SRE
Записи с тегом SRE.
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.
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.
Observability for Agentic AI: Tracing, Evaluating and Auditing Agents
AI agents fail quietly: a confident answer from the wrong document, a tool called with the wrong argument. Learn how to trace every model, retrieval and tool step with OpenTelemetry, attach quality scores, and keep the records auditors ask for.
The energy cost of LLM code optimisation, and when it pays back
A 2026 study found LLM-optimised code used more energy per run than the human reference in 42 of 44 configurations. Learn the break-even rule, how to measure joules per run on Linux, and a workflow for keeping only the rewrites that pay back.
Put Internal Apps Behind Your VPN, Without Rebuilding Them
Staging sites and admin panels are often 'private' because of an IP allowlist. Put them behind the wslvpn Zero Trust VPN, enforced at the WSLProxy edge: check the tunnel and the person, fail closed, and see why someone was blocked. One field per domain, no app changes, no reload.
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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.
AI's Double-Edged Impact on DevOps: Faster Changes, Shakier Releases
DORA's research links AI adoption to lower delivery stability. A new simulation shows why: AI-written code overloads review and enlarges deployments, while CI agents can mask defects. Here is how to measure it and keep the speed.
Agentic AI in Production: Permissions, Approval Gates, Traces and Evals
A practical playbook for running AI agents in production: classify every tool by side effect, gate mutations behind a human, set hard stop conditions, trace each step with OpenTelemetry and evaluate continuously.
AWS Resilience Hub: Keep Workload Scope and Recovery Targets Aligned
A practical guide to the September 2026 Resilience Hub features: scope EKS services with labels, use dependency discovery and insights to find hidden coupling, classify hard and soft dependencies, and share one resilience policy across AWS accounts.
