Continuous Delivery Pipeline Requirements Checklist

Define the delivery outcome and operating boundary

A continuous-delivery pipeline should turn an authorized change into a reproducible, tested, identifiable, promotable, observable, and recoverable release. It is not simply a YAML file that runs tests. Define repositories, applications, services, mobile or firmware artifacts, environments, infrastructure, data changes, compliance evidence, deployment frequency, support model, and consequence of failure before choosing tools.

Set measurable outcomes such as lead time, deployment success, recovery time, change failure, manual effort, evidence completeness, environment drift, security finding age, and developer wait time. Record definitions and exclusions so faster builds do not hide unsafe releases or queued work. Use the continuous-delivery cost guide for investment planning; this checklist defines the capabilities and acceptance evidence the platform should provide.

Protect source changes and repository administration

Require individual identities, strong authentication for privileged contributors, least-privilege repository roles, reviewed branch and tag protections, accountable exceptions, signed or otherwise attributable changes where justified, and rapid revocation. Separate ordinary code contribution from administration of protections, automation credentials, release policy, and audit. Test direct pushes, deleted branches, compromised contributor access, stale bots, and changes to workflow definitions.

Treat pipeline definitions, reusable actions, build images, infrastructure code, deployment configuration, policy, and scripts as production source. Review and version them through the same controlled process as application code. Pin or constrain external automation dependencies, inventory their owners and update paths, and prevent untrusted contributions from gaining secrets or privileged tokens through an automatically executed workflow.

Produce deterministic, identified build outputs

Build in clean, controlled environments from an explicit source revision and dependency resolution. Assign each artifact a unique release identifier and connect it to source, build definition, toolchain, dependencies, builder, time, test evidence, and approval. Promote the same verified artifact between environments rather than rebuilding from a branch and assuming equivalence.

The SLSA 1.2 build requirements define progressively stronger expectations around provenance generation and build isolation. Select a target based on risk and customer needs, then verify what the chosen build service actually guarantees. Store checksums or signed manifests, protect signing authority, validate provenance at promotion, and define failure behavior when evidence is missing or unexpected.

Make dependency and component decisions explicit

Resolve dependencies from approved sources with version constraints or lockfiles appropriate to the ecosystem. Generate and retain an inventory such as a software bill of materials when useful to vulnerability and customer response. Scan direct and transitive components, licenses where required, container bases, actions, plugins, and toolchains, but keep accountable triage rather than treating every scanner result as equally exploitable.

Define who accepts, updates, replaces, or removes a component; severity and exploitability criteria; exception evidence; review date; and emergency path. Test a compromised registry, unavailable package source, deleted version, malicious name collision, vulnerable base image, and dependency update that changes runtime behavior. Cache or mirror only with integrity and lifecycle controls, because a private copy can preserve risk as easily as availability.

Test behavior at the correct layers

Require fast static checks and unit tests near source, integration and contract tests around boundaries, and end-to-end or acceptance tests for consequential journeys. Include security, accessibility, performance, migration, backup, and recovery evidence according to product risk. Quarantine flaky tests with owners and deadlines rather than normalizing repeated reruns until a pipeline happens to pass.

Use OWASP ASVS to select verifiable application-security requirements instead of relying only on vulnerability scanners. Test direct API authorization, tenant separation, authentication and recovery, files, validation, business logic, configuration, and secrets. Preserve results with the release and prevent a late test failure from being bypassed through an undocumented manual deployment.

Separate environments and control promotion

Define development, review, test, staging, production, disaster-recovery, and ephemeral environment purposes without assuming every product needs the same topology. Isolate accounts, networks, data, keys, quotas, and administrative roles proportional to consequence. Avoid using unrestricted production data in nonproduction; create representative synthetic, masked, or specifically authorized test data with known limitations.

Promotion should evaluate artifact identity, required evidence, environment policy, change authorization, dependency state, rollout window, and current service health. Use automated gates for repeatable checks and accountable human approval for contextual decisions that cannot be safely automated. Record actor, artifact, target, evidence, decision, and result. Emergency paths must be faster, not invisible: define authority, monitoring, retrospective review, and credential revocation.

Manage secrets and workload identity without copying credentials

Prefer short-lived workload identity and narrowly scoped tokens over static credentials stored in repository variables. Separate build, registry, deployment, migration, monitoring, and cloud administration permissions. Prevent pull-request jobs and untrusted forks from reading release secrets. Rotate credentials, log use, revoke automatically when environments or integrations retire, and test whether leaked tokens are constrained by audience, action, resource, and lifetime.

The OpenSSF security baseline includes controls for least-privilege pipeline tasks, release identifiers, manifests, tests, vulnerability reporting, and security assessment. Use it as a reference rather than a certification claim. Inventory every secret source and destination, ensure masking does not replace access control, and scan artifacts and logs for accidental exposure before publication.

Deploy progressively with verification and rollback

Define deployment strategy by service architecture and consequence: rolling, canary, blue-green, feature flags, staged mobile release, or another controlled approach. Verify readiness, health, dependencies, capacity, migrations, and monitoring before shifting traffic. Observe technical and business indicators during rollout, pause automatically when thresholds fail, and preserve a responsible operator’s ability to stop or reverse the change.

Rollback must address application, configuration, infrastructure, data schema, background jobs, caches, queues, and external side effects. Some changes require roll-forward or compatibility windows instead of reversal. Rehearse failed deployment, partial region, unhealthy new version, incompatible migration, provider outage, expired certificate, and bad feature flag. A rollback button that has not been exercised is an assumption, not a recovery capability.

Observe the delivery system and production result

Monitor queue time, execution time, success, flaky tests, artifact generation, policy denial, secret failure, deployment duration, rollback, environment drift, runner health, cost, and developer experience. Connect deployment events with production metrics, logs, traces, support, and business outcomes using safe release identifiers. Avoid putting tokens, source secrets, personal data, or sensitive payloads into verbose build logs.

Define ownership and service expectations for the delivery platform itself. Back up configuration and critical metadata, test runner and provider failure, control upgrades, and provide status and support. Apply the NIST Secure Software Development Framework across preparation, software protection, secure production, and vulnerability response so pipeline work supports the full development lifecycle.

Turn the checklist into acceptance evidence

Before commissioning implementation, confirm product and environment scope, identity and source controls, artifact and provenance needs, dependency policy, testing layers, promotion gates, secrets architecture, deployment strategy, data migration behavior, rollback, observability, recovery, and ownership. Assign each requirement an owner, risk, evidence method, and release gate rather than marking broad capabilities complete from screenshots.

Pilot one representative service from reviewed commit through controlled production and recovery before standardizing every repository. Measure developer effort and operational evidence, then build reusable templates with safe defaults and documented extension points. Submit the current toolchain, constraints, risks, and desired outcomes through the project brief for a phased platform plan, or use the quick contact page for a focused architecture discussion.

Authoritative references

• NIST Secure Software Development Framework
• SLSA Build Requirements 1.2
• OpenSSF Open Source Project Security Baseline
• OWASP Application Security Verification Standard

Related software planning guides

• Continuous Delivery Pipeline Cost and Budget Planning Guide
• DevOps and Platform Engineering: A Practical Improvement Guide
• Software Incident Response and Recovery Operations Guide