1d ago · 2 min read · Argo Events patterns — the event-driven glue that wires external signals into Argo Workflows. The pipeline: EventSource → EventBus → Sensor → Trigger GitHub webhook → EventSource → NATS EventBus → Sensor (filter) → Argo Workflow trigger Three YAML fi...
Join discussion1d ago · 1 min read · Cosign patterns for container image supply chain security. Keyless signing in GitHub Actions (no key management) permissions: id-token: write # required — mints the OIDC token packages: write - name: Install cosign uses: sigstore/cosign-inst...
Join discussion1d ago · 2 min read · GitHub Actions patterns I refer back to constantly. Docker build + GHCR push (the right way) - uses: docker/metadata-action@v5 id: meta with: images: ghcr.io/${{ github.repository }} tags: | type=semver,pattern={{version}} typ...
Join discussion1d ago · 2 min read · Tekton patterns for Kubernetes-native CI/CD pipelines. The core mental model: every Step is a container kind: Task spec: steps: - name: run-tests image: python:3.12-slim command: [pytest, tests/, -v] env: - name: DB_UR...
Join discussion1d ago · 2 min read · GitHub Actions patterns worth memorising — especially the ones that cut CI time in half. Cache dependencies — the correct pattern - uses: actions/cache@v4 with: path: ~/.npm key: ${{ runner.os }}-npm-${{ hashFiles('**/package-lock.json') }}...
Join discussion1d ago · 2 min read · GitLab CI is more powerful than most people use it. Here's what moves the needle. rules: replaces only/except — and it's strictly better deploy_production: rules: - if: $CI_COMMIT_BRANCH == "main" when: manual # requires clic...
Join discussion2d ago · 7 min read · You built a machine learning pipeline that predicts customer churn. Three months into production, it's making worse predictions than a coin flip, and your monitoring dashboards tell you everything is fine. CPU is normal. Memory is normal. Inference l...
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