DevOps Automation Checklist for Web Development

Enable branch protection rules, required status checks, and code owner reviews in GitHub or GitLab. Short lived branches, small PRs, and enforced CI gates reduce merge friction and production defects.

Use GitHub Actions reusable workflows, GitLab includes, CircleCI orbs, or Jenkins shared libraries to DRY common steps. Version templates and roll out changes predictably across repositories.

Commit lockfiles for npm, pnpm, yarn, and Poetry, and key caches on lockfile hashes to avoid stale dependencies. Cache Node modules, Playwright browsers, and Docker layers to cut build times without flakiness.

Use commitlint and semantic release to enforce commit scopes and generate release notes automatically. This enables consistent versions, cleaner PR reviews, and traceable change history.

Configure GitHub Actions or GitLab to assume cloud roles with OpenID Connect, minting short lived tokens to AWS, GCP, or HashiCorp Vault. Remove static secrets from CI and repos to shrink breach blast radius.

Spin up per PR environments with Vercel, Netlify, Heroku Review Apps, or a dynamic Kubernetes namespace. Auto destroy on merge or close so QA, PM, and designers validate changes before release.

Run Jest or Vitest for frontend and Node services, or pytest for Python backends, and require coverage minimums in CI. Post annotated reports to PRs to keep standards transparent.

Execute headless browser tests in CI, capture videos and HAR files as artifacts, and shard specs to hold the runtime budget. Cover login, routing, and critical user journeys per release.

Validate provider and consumer contracts to prevent breaking changes across services and frontend clients. Run pact tests in CI and fail if schema changes are incompatible with consumers.

Use ESLint, TypeScript strict mode, Prettier, flake8, mypy, and Hadolint. Enforce pre commit hooks with pre commit to catch issues before CI and reduce reviewer burden.

Enable Dependabot or Renovate for upgrade PRs, scan with Snyk and Trivy, and block critical CVEs in CI. Include open source license compliance checks to avoid legal risk.

Spin up Postgres, Redis, or Kafka in CI using Testcontainers, then apply migrations and seed fixtures. This avoids brittle mocks and catches real integration issues earlier.

Pin base images, use multi stage builds to keep runtime images minimal, and leverage --mount type cache to speed up dependency installs. This stabilizes build outputs across machines and runners.

Generate SBOMs with Syft and sign container images with Cosign along with SLSA style attestations. Store artifacts in OCI registries, GitHub Packages, or Artifactory to trace supply chain.

Use semantic release or Release Please to publish versions from Conventional Commits, update changelogs, and tag releases. Push packages to npm or internal registries from CI safely.

Adopt Argo Rollouts or Flagger to incrementally shift traffic and automatically roll back on elevated error rates. Tie promotion to SLOs and synthetic checks rather than manual judgment.

Execute Flyway, Liquibase, or Prisma migrate in a pre deploy or post deploy job, with backups and guardrails for destructive changes. Version and review migration scripts like application code.

Call CloudFront, Cloudflare, or Fastly APIs after release to purge changed assets and prefetch critical routes. This reduces cold start latency and prevents stale content issues.

Abstract common web stacks into modules, pin versions, and manage workspace per environment. Run plan on every PR and detect drift regularly to keep environments aligned.

Use Open Policy Agent or Terraform Cloud Sentinel to block public buckets, missing encryption, overly permissive security groups, and untagged resources. Fail CI early for policy violations.

Create parameterized charts or overlays with resource limits, liveness and readiness probes, PodSecurity levels, and network policies. Validate with kubeval or datree in CI.

Sync AWS Secrets Manager, GCP Secret Manager, or Vault into clusters with External Secrets Operator. Rotate credentials without new images and audit access centrally.

Define RDS or Cloud SQL instances and Redis in code, apply automated snapshots, point in time recovery, and cross region replica for production. Validate parameters via policy checks.

Ship a .devcontainer or docker compose stack with seeded data and matching service versions. Use Tilt or Skaffold for hot reloads and fast inner loop without drift from production.

Emit JSON logs with request and user IDs in both Node services and browser clients. Propagate context via OpenTelemetry to correlate a single user action through the stack.

Ship logs to ELK, Loki, or CloudWatch with consistent field names and indices. Tune retention by environment, and sample verbose logs in high traffic paths to control cost.

Track RED metrics for web services with Prometheus and Grafana, define alert rules, and integrate with PagerDuty. Apply maintenance windows during deploys to reduce false positives.

Instrument key backend endpoints and client side interactions, export to Jaeger, Tempo, or Datadog, and use tail based sampling under load. Trace deploys to quickly find latency regressions.

Upload JavaScript source maps to Sentry or Datadog during CI builds, then monitor Core Web Vitals and error rates by release and route. This makes client side regressions visible immediately.

Run Checkly or Playwright based smoke checks after each deploy and schedule uptime tests. Use k6 with pass or fail thresholds that gate promotion between environments.

Send PagerDuty or Opsgenie alerts that include commit SHA, change window, service owner, and links to dashboards. This shortens time to diagnose by connecting symptoms to recent changes.

Keep Markdown runbooks in the repo with kubectl, helm, and CLI snippets, then link them from Grafana, Sentry, and log alerts. Treat runbooks as versioned assets reviewed like code.

Use bots to export Slack timelines, CI and deploy logs, and related PRs into a postmortem template. Assign action items with owners and due dates to prevent repeated incidents.

Schedule snapshot restores to a sandbox and verify application boot with production like configs. Use Terratest or scripts to measure RTO and RPO and report drift from targets.

Automate WAF rules, rate limits, and Content Security Policy deployment, and run OWASP ZAP or ASVS checks in CI on critical routes. Block releases that violate baseline security posture.

Use SSO with short lived role elevation via AWS IAM Identity Center or GCP IAM, logging all events to your SIEM. Remove long lived admin keys and review access regularly.