Code merged. Tests passed. Production updated. Automatically.
Manual release processes introduce human error, compress deployment windows and make rollback difficult. We replace that with pipelines that enforce quality gates before any code reaches production — and rollback is a single command.
What the problem costs you.
Most infrastructure problems are not caused by the tools chosen. They are caused by how infrastructure is provisioned and managed over time.
Manual release coordination
Releases require coordination between developers, QA and operations. Each release is a risk event, not a routine operation.
Inconsistent quality enforcement
Code coverage thresholds and security scans are checked manually, or not at all. Standards depend on who reviews the pull request.
Static credentials in CI
Long-lived access keys stored in CI secrets are a credential exposure waiting to happen. Rotation is manual and infrequent.
Rollback is a crisis
Without tested rollback procedures, reverting a broken deployment requires manual steps that extend the outage window.
The pipeline architecture we deliver.
Every stage is automated. Every quality gate is enforced before production. Every release is traceable.
Source Control
GitHub · Branch protection · Required reviews · Status checksProtected branches require passing CI before merge. No code reaches production without a reviewer and a green pipeline.
Build Stage
pip · npm · Multi-stage DockerReproducible builds with pinned dependencies. Multi-stage Docker builds that produce minimal production images with no build tooling included.
Quality Gates
SonarCloud · JaCoCo · pytest-cov · Coverage thresholdsCoverage gate enforced on every pull request. SonarCloud blocks merge on critical security issues. No manual exception process.
Container Registry
ECR · Image scanning · Deterministic tags · Immutable imagesImages tagged with the commit SHA — no latest tag in production. ECR vulnerability scanning runs on every push.
Deployment
ArgoCD · Helm · Rolling updates · maxUnavailable=0Zero-downtime rolling deployments via Kubernetes. ArgoCD syncs from Git — no kubectl apply in production.
Authentication
OIDC · GitHub Actions · AWS · No static credentialsGitHub Actions authenticates to AWS via OIDC. No access keys stored anywhere. Credentials are issued per-run and expire automatically.
How we implement it.
Pipeline audit
Review the current release process, identify manual steps and measure deployment frequency and lead time.
Pipeline design
Define the stage sequence, quality gates and deployment strategy before writing a single workflow file.
Incremental rollout
Implement and validate one stage at a time. Quality gates are introduced as warnings before being enforced.
Runbook and handover
Document the pipeline, failure modes and rollback procedures. Run a walkthrough with the team before handover.
What changes when this is delivered.
Deployments without manual steps
commit to production is fully automated
Quality gates enforced on every PR
not discovered in production
Zero static credentials in CI
OIDC authentication throughout
Rollback in under 5 minutes
git revert triggers the same pipeline
Full deployment audit trail
every release tied to a commit and a timestamp
Deployment frequency increased
releases become routine, not risk events
Three automation implementations
Cloud CI/CD, GitOps pipeline and fleet management — all in production.
aws-terraform-devops — Dual pipeline
- • GitHub Actions — OIDC auth, SonarCloud gate, Docker build, ECR push
- • Jenkins — on-premise builds, same quality gates
- • SonarCloud: 80% coverage threshold blocks every merge
- • Flask on EKS via Helm — deployed by both pipelines
gitops-stack — Full DevOps lifecycle
- • Jenkins CI: Build → Test → Deploy to EKS
- • Ansible for node configuration — idempotent, version-controlled
- • AWS SSM for access — zero SSH keys in the entire stack
- • git push to production in under 8 minutes
linux-fleet-manager — Bash + SSH
- • Mass server management via SSH — no agents required
- • ShellCheck enforced in CI — every script validated
- • Idempotent scripts — safe to re-run after failures
- • Red Hat engineering standards — set -euo pipefail
Start with a pipeline review.
Bring your current release process. We identify manual steps, missing quality gates and credential exposure — and outline a path to automated delivery.