DevOps & delivery
Build useful CI checks, diagnose deployment failures, and prepare observable, reversible releases.
Showing 1–10 of 10 articles
Design a deployment checklist that AI can verify honestly
Turn deployment approval into observable evidence with exact versions, expected outcomes, honest skipped checks, and a small reviewable release record.
Use AI for incident triage with safe read only tools
Give AI incident triage narrow read-only tools, redacted evidence, bounded queries, and explicit uncertainty so diagnosis remains separate from production repair.
Diagnose a production incident with structured logs and request IDs
Correlate production failures with structured events and request IDs while preserving privacy, separating hypotheses from evidence, and tracing partial outcomes.
Reduce a slow build by measuring its actual stages
Measure dependency installation, compilation, network access, and cache behavior before optimizing builds, then verify speed and artifact correctness together.
Test a backup by restoring it into an isolated environment
Verify backups through an isolated restore, application checks, access restrictions, and measured recovery steps instead of trusting file existence.
Add a health check that detects useful failure states
Separate liveness, readiness, and startup checks so probes detect useful failures without causing restart loops or hiding broken user journeys.
Make a production deploy reversible
Make deploy recovery concrete by retaining artifacts, checking schema compatibility, rehearsing rollback, and accounting for jobs and external effects.
Manage configuration without committing secrets
Separate configuration names from secret values, validate runtime settings, assign deployment ownership, and prepare rotation without exposing credentials.
Debug a container that works on your laptop but not the server
Compare image identity, CPU architecture, files, environment, users, and networking to diagnose containers that fail only in the server environment.
Build a CI pipeline that tests the change rather than just compiling it
Build CI around changed behavior, required services, trustworthy failures, and reviewable evidence so a green compile does not hide a broken feature.
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