Manual deployments are
slow, risky, and expensive.

The problem

A deployment runbook with 47 steps is not a process — it is an incident waiting for its shift. We have walked into engagements where releases happened monthly because nobody wanted to touch the deploy script, where a "quick hotfix" took down production for four hours, and where the only person who understood the deploy was on vacation. The cost is not just the incidents. It is the fear, the routine overhead, and the missing knowledge base. Teams that are afraid to deploy ship slowly, accumulate technical debt, and fall behind on security patches.

The fix is not more discipline. It is a mature release-automation practice that makes the right action the easy action, fails loudly and early when something is wrong, and lives in your knowledge base so the next engineer doesn't need a vacation schedule to cut a release.

What we do

We build CI/CD pipelines that an engineering team trusts enough to actually use, and then we transfer the workflow so your team owns it. That means fast feedback, honest gates, and deployments that are reversible by design. We use Gitea Actions because it lives next to the code, runs on infrastructure we control, and doesn't meter per-minute like hosted CI — which matters when you're running real test suites, not toy ones. The release methodology, runbooks, and decision log end up in your knowledge base, not in a vendor's head.

• CI/CD pipelines. Gitea Actions workflows that build, test, scan, and deploy on every push or tag. Pipelines are code — versioned, reviewed, owned by your team, and documented in your knowledge base so the workflow survives any engagement.
• Automated testing. Unit, integration, and infrastructure tests wired into the pipeline. A pipeline without tests is a fast way to ship broken code. We build these tests as quality practices your team can extend, not black-box artifacts a vendor leaves behind.
• Deployment strategies. Blue-green for reversible releases, canary for risky ones, rolling for everything else. We pick the strategy from the blast radius, not from fashion, and we train your team to operate it.
• Release management. Semantic versioning, changelog generation, and release artifacts that are traceable from commit to production — with the release runbook and decision log in your knowledge base. You should always be able to answer "what's running, and why."

A good pipeline doesn't just ship code faster. It makes the bad changes fail before they reach production — and makes the good changes unremarkable.— Deploy principle, applied to every pipeline we build

Quality and vulnerability gates

A pipeline that deploys anything that compiles is not a pipeline — it's a conveyor belt. We wire in real gates as part of a release practice. SonarQube runs static analysis and blocks releases on quality regressions: new critical issues, dropping coverage below threshold, or duplications crossing a limit. govulncheck scans Go binaries against the published vulnerability database and fails the build on known CVEs in dependencies. The gate configurations, thresholds, and remediation runbooks are documented in your knowledge base, so your team can tune them without waiting for a vendor. The default is strict — we would rather block a release than ship a vulnerability or cause an incident.

Deliverables

• Working Gitea Actions pipelines — build, test, scan, and deploy stages, wired to your repositories and documented in your knowledge base
• Automated test integration — unit, integration, and infrastructure tests executed on every change, with testing patterns your team can extend
• Code-quality gate — SonarQube configured with project-appropriate rules, failure thresholds, and runbook guidance
• Vulnerability scanning — govulncheck (and equivalent tooling for non-Go stacks) blocking on known CVEs as a proactive risk control
• Deployment strategy implementation — blue-green, canary, or rolling, with automated rollback and knowledge-transfer sessions for your team
• Release documentation and knowledge transfer — versioning scheme, changelog process, release runbook in your knowledge base, and enablement sessions so your team owns the release workflow

Tech we use

Gitea Actions is the open-source answer to GitHub Actions, and it runs the same workflow syntax. We self-host it on Proxmox, so pipeline minutes are free and your source code never leaves infrastructure you control — which is the point of building on open source in the first place. We document the deployment and operating model in your knowledge base as part of the transfer, so your team can maintain and improve the pipeline without routine overhead.

Related case study

A Series B fintech moved from four-hour manual deployments to automated CI/CD with Gitea Actions — 0 failed deployments, 4x deployment frequency. Read the case study →

Next stage

A system that deploys itself still needs to be watched. We wire the pipeline into observability so every release is visible in production and every incident-prevention rule is captured in your knowledge base. Observability & Monitoring →

Common questions