From Git Push to Production: How Does a Complete DevSecOps Pipeline Work?

Disallow direct pushes to main or release branches.

Require reviewers and code owners where appropriate.

Merge only when mandatory tests and scans pass.

Improve traceability of contributors.

Standardize changelogs and versioning.

Detect style and syntax issues.

Reduce runtime failures.

Validate logic and regressions.

Confirm a clean build.

Track quality over time.

Detect incompatible API or schema changes.

Detect tokens, passwords, and keys.

Find insecure code patterns.

Check CVEs and licenses.

Validate Terraform, Kubernetes, and Cloud configuration.

Scan OS packages and image layers.

Record software components for audit.

Assign a unique version or short SHA.

Store artifacts with access control.

Deploy by digest instead of mutable tags.

Verify signed artifacts before deployment.

Store the SBOM with the release.

Record commit, runner, and build time.

Test compatibility and rollback strategy.

Validate APIs, databases, queues, caches, and dependencies.

Confirm critical user journeys.

Run dynamic or targeted checks.

Validate latency and resource usage.

Verify secrets, environment variables, DNS, and certificates.

Locked commit, tag, digest, and artifact.

CI, staging, security, and performance results.

Features, configuration, migrations, and dependencies.

Triggers, owners, and recovery steps.

Classify low, medium, or high.

Record who approved and why.

Replace instances gradually.

Switch traffic after validation.

Send a small percentage of traffic to the new version.

Separate deployment from feature release.

Reconcile production state from Git.

Rollback when health or SLO thresholds fail.

Availability, latency, throughput, saturation, and error rate.

Application, audit, access, and deployment events.

Follow requests across services.

Bookings, payments, or orders.

Define owners, severity, and runbooks.

Link releases with incidents.

Define errors or failed transactions that trigger rollback.

Keep the previous digest and manifests accessible.

Know which migrations are reversible.

Handle data written by the new version.

Define who decides and executes rollback.

Update stakeholders and the incident timeline.

CI, unit tests, secret scan, dependency scan, image build, and staging.

IaC scan, integration tests, immutable artifacts, approval, monitoring, and rollback.

SBOM, signing, provenance, GitOps, canary, SLO gates, and policy as code.

Review workflows, gates, artifacts, deployment, and rollback.

Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.

Terraform, Helm, Kustomize, and policy validation.

SAST, dependency, secret, IaC, container scanning, SBOM, and signing.

Argo CD, rollout strategies, and drift control.

Metrics, logs, traces, alerts, SLOs, and incident workflows.

No. Select tools based on stack, risk, and the ability to handle findings.

Only with immutable artifacts, approvals, scoped permissions, and post-deploy verification.

No, but it helps with drift control and auditability.

It can, but high-risk changes often require it.

Partly; databases and side effects need additional control.

Yes. FlowNexa can assess maturity, security gaps, and deployment risk.