Secure & Performant Build Pipelines
Build pipeline optimization with parallelization, signed artifacts, SLSA provenance, supply chain security, and extended vulnerability scanning.
Milestone: Acceleration
intermediate
DF
LT
CFR
Job to be done: When pushing code changes, I want CI to complete in under 10 minutes with verified security scanning and signed artifacts, so developers get fast feedback and the supply chain stays verifiable and compliant.
For engineers
You will parallelize CI jobs, implement SLSA provenance generation and Sigstore signing, integrate container scanning with policy gates, and optimize build caching to achieve sub-10-minute feedback on pull requests while maintaining supply chain integrity.
What you’ll implement
These are the roadmap epic features, organized as a starter backlog.
1
Signed Build Artifacts2
SLSA Provenance Generation3
CI Pipeline Hardening4
Intelligent Build Caching5
Multi-Layer Container ScanningExecution guide
Practical guidance aligned to the Execution Kit Definition of Done.
Outcome
Teams achieve sub-10min CI through parallelization, caching, and SLSA-compliant supply chain security.
Before to After Transformation
× BEFORESlow, insecure CI pipeline
20+ minute builds, no scanning, unsigned artifacts
# Before state:
- CI: Sequential jobs (lint to test to build to scan)
- Duration: 25 minutes average
- Security: No container scanning
- Provenance: None (no supply chain security)
- Artifacts: Unsigned and unverified
# Typical workflow:
1. PR opened
2. CI: lint (3 min) to test (12 min) to build (8 min) to deploy
3. Total: 25 minutes (developer context-switches)
4. Deploy unsigned image (no verification)
# Metrics:
- CI duration: 25 min (p50)
- Deployment frequency: Weekly (CI slowness discourages frequent deploys)
- Supply chain incidents: 2 per year (unsigned artifacts) AFTERFast, secure CI with supply chain integrity
Sub-10-minute feedback, SLSA provenance, signed artifacts, container scanning
# After state:
- CI: Parallel jobs (lint + test + scan simultaneously)
- Duration: 8 minutes average
- Security: Container scans required, CRITICAL blocks deploy
- Provenance: SLSA Level 2 with Sigstore signing
- Artifacts: Signed and verified at deploy
# Typical workflow:
1. PR opened
2. CI (parallel):
- Lint (2 min) ✓
- Tests (sharded, 4 min) ✓
- Security scans (3 min) ✓
3. Build with SLSA provenance (2 min)
4. Sign artifact with Cosign
5. Deploy (signature verified)
# Metrics:
- CI duration: 8 min (p50)
- Deployment frequency: Daily (fast CI enables)
- Supply chain incidents: 0 (signed + verified artifacts)Symptoms
CI pipeline takes 20+ minutes (developers context-switch or skip local testing)
Build artifacts are unsigned and unverified (no provenance)
Container images deployed without security scanning
No visibility into build performance bottlenecks
Prerequisites
A CI/CD pipeline (GitHub Actions, GitLab CI, Azure Pipelines, etc.)
Containerized applications (Docker images)
Artifact registry (GitHub Packages, Azure Container Registry, etc.)
Implementation steps
Week 1
- Baseline current pipeline performance (total time, slowest jobs)
- Identify parallelization opportunities (independent test suites, linting, builds)
- Implement dependency caching (npm, Maven, pip, Docker layers)
- Set target: < 10 min for PR feedback, < 15 min for full suite
Week 2
- Parallelize CI jobs (unit tests, integration tests, linting, security scans)
- Add SLSA provenance generation (record build metadata, dependencies)
- Integrate container scanning (Trivy, Grype, or Snyk) as required step
- Sign build artifacts using Sigstore/cosign
Week 3
- Optimize slowest tests (split large test files, use test sharding)
- Add build performance dashboard (track p50/p95 build times over time)
- Enforce artifact signature verification at deploy time
- Run retrospective on CI speed vs quality tradeoffs
Definition of Done
- CI pipeline completes in < 10 minutes for PRs
- Parallel jobs configured for tests, linting, and security scans
- SLSA provenance generated for all builds
- Container images scanned with policy gates (no CRITICAL vulnerabilities)
- Artifacts signed and signatures verified at deploy
- Build performance dashboard tracks trends
Metrics
Leading Indicators
- CI pipeline duration (p50, p95) - target: < 10 min
- Build success rate (target: > 95%)
- Container scan pass rate (no CRITICAL vulns)
- Artifact signature coverage (% builds signed)
- Cache hit rate (dependency caching effectiveness)
Lagging Indicators
- Deployment frequency (DORA)
- Lead time for changes (DORA)
- Change failure rate (DORA)
- Supply chain incidents (unsigned/unverified artifacts)
- Production vulnerabilities from container images
Failure modes
Parallelization introduces flaky tests (race conditions, shared state)
Caching breaks builds (stale dependencies, incorrect invalidation)
Container scans block valid deploys (false positives, no exception process)
SLSA provenance generated but never verified (compliance theater)
Build performance optimized at cost of security (skipping scans)
Ownership
Platform/DevOps
- Optimize CI pipeline performance (caching, parallelization)
- Implement and maintain SLSA provenance generation
- Enforce container scanning and artifact signing
- Monitor build performance metrics and address regressions
Security
- Define container scan policy gates (severity thresholds)
- Review and triage container scan findings
- Validate SLSA provenance and signature verification
Engineering Teams
- Fix container scan findings within SLA (7 days CRITICAL, 30 days HIGH)
- Report build performance regressions (> 15 min)
- Maintain test parallelization (avoid flaky tests)
What good looks like (by org scale)
Small Teams
- Dependency caching enabled (npm, Maven, Docker layers)
- 2-3 parallel jobs (lint, test, build)
- Container scanning with Trivy
- Basic provenance (commit SHA, build timestamp)
Medium Orgs
- Full parallelization (tests sharded, scans in parallel)
- SLSA Level 2 provenance with Sigstore signing
- Container scan policy gates (CRITICAL blocks deploy)
- Build performance dashboard (Grafana)
- CI completes in < 10 minutes
Enterprise
- SLSA Level 3 provenance (isolated build environment)
- Hermetic builds (reproducible, no network access during build)
- Advanced caching (distributed cache, remote execution)
- Automated build performance optimization (ML-based)
- Zero-trust artifact verification (every deploy validates signatures)
References
Resources
Templates and related materials for this kit.
Related capabilities
Capabilities tracked under this epic in the roadmap.
- Signed Build Artifacts100% of production artifacts cryptographically signed using cosign or similar tool with signature verification enforced.
- SLSA Provenance Generation>= 80% of builds generate SLSA Level 2+ provenance with builder identity, materials, and build metadata.
- CI Pipeline Hardening>= 90% of pipelines use immutable build environments, least-privilege service accounts, audit logging enabled.
- Intelligent Build Caching>= 80% of builds use multi-layer caching (dependencies, intermediate artifacts) reducing build time by >= 40%.
- Multi-Layer Container Scanning100% of container images scanned for OS vulnerabilities, malware, misconfigurations with >= HIGH blocking deployment.
Related kits
Other kits in the same milestone or with similar DORA impact.