GuideAI in production
Auditing AI-generated tests and documentation before cleanup
Review the claim each test or document protects, challenge the evidence, and record a keep, rewrite or retire decision before deleting repository history.
Guides
Walkthroughs for observability, incident response and AI-assisted operations.
Browse guides with article filtersAIOps fundamentals
Start with what AI can do for operations, and where judgment still matters.
Read AIOps fundamentalsObservability for SRE
Make metrics, logs and traces work together.
Read Observability for SREIncident management with AI
Build an incident response practice that learns.
Read Incident management with AIPractical articles
Instructions, examples and implementation notes.
GuideObservability
Shadow-testing an AI log classifier before migration
Run a candidate log classifier beside the current route, preserve complete outcomes, and promote only the slices whose mistakes and review cost are understood.
GuideObservability
Measuring streaming LLM latency from first text to completed work
A client-side SSE probe separates first answer text from normal completion. Fixed arrivals and outcome counts show whether a serving change delivers more useful answers.
GuideAI in production
Instinct: from a text or call to a confirmed task
Instinct brings personal tasks into connected services. A hypothetical booking and notification worker show how permission, provider confirmation and uncertain results affect what happens next.
GuideObservability
Tracing an AI request through Cloudflare and its origin
Follow a slow AI request from Cloudflare to an instrumented origin, configure sampling, and verify that the trace preserves the evidence needed to investigate.
GuideObservability
Measuring a latency SLO with Prometheus histograms
Build a latency SLI from Prometheus histogram buckets, include failed requests, and compare classic and native queries with a worked search-service example.
GuideIncident response
An SRE incident handoff in ChatGPT Space
A synthetic order-service incident follows a shared handoff through page edits, new findings and shift change, including the review and access work involved.
GuideObservability
OpenTelemetry tail sampling through a checkout failure
Tail sampling selects recorded traces by error, latency and other evidence. A checkout timeout shows how routing, waiting time and memory affect the trace a responder can retrieve.
GuideAI in production
CodeRabbit: how to use AI code review
CodeRabbit brings AI feedback into pull requests, editors and the CLI. A retry loop that exceeds its caller’s deadline shows the kind of finding that can repay review time.
GuideAI in production
Recovering an agent task after OpenShell containment
OpenShell can stop an agent after Kubernetes has accepted its scaling request. Recovery then depends on the Deployment state, available replicas and customer-facing result.
GuideAI in production
Meta Muse keeps research and connected tasks running
A release-note digest and a changed maintenance event show two uses of Muse’s persistent agent: gathering information over time and preparing a connected-account update.
GuideObservability
OpenTelemetry Collector queues and the wait for fresh data
A durable queue can preserve telemetry through an outage, then take longer to catch up. Arrival rate, export capacity and event age explain what recovery looks like.