CI/CD & Automated Delivery
New pipeline setups, migrations off legacy CI, and release automation that takes deploys from hours to minutes — with automated tests, preview environments, and one-click rollbacks built in.
30-minute builds that should take 5. Developers context-switch while waiting, losing hours of productivity daily.
Tests that pass locally but fail in CI. Or pass one run, fail the next. Nobody trusts the pipeline anymore.
SSH into servers, run scripts, pray nothing breaks. Deployments are scary events instead of boring routines.
When a deploy goes wrong, it's all hands on deck to "fix forward." No quick way to get back to a known-good state.
Green-field CI/CD from scratch. We design pipelines that match how your team actually works — not a one-size-fits-all template.
Cut build times in half (or more). Parallel jobs, smart caching, selective testing, and dependency optimization.
Kubernetes deployments through Git. Push to main, ArgoCD deploys. Full audit trail, automatic sync, drift detection.
Every PR gets its own environment. QA, product, and stakeholders can review changes before they hit production.
Blue-green, canary, rolling updates — we implement deployment strategies that minimize risk and enable fast rollbacks.
Shift security left. Automated scanning, secrets management, and compliance checks built into every pipeline.
14×/day
A fintech went from weekly deployments to 14 times per day after we rebuilt their CI/CD with GitHub Actions and ArgoCD.
-73%
Cut a SaaS platform's build time from 22 minutes to 6 minutes through Docker layer caching, test parallelization, and selective builds.
0
Implemented preview environments and automated testing gates. No bad code has reached production in 8 months.
GitHub Actions: Best for GitHub-native teams, excellent marketplace, free tier is generous. GitLab CI: Better for self-hosted, built-in container registry, more powerful out of the box. We're experts in both and will recommend based on your setup.
Yes, it's one of our most common projects. We analyze your existing Jenkinsfiles, map them to modern equivalents, and migrate incrementally. You keep deploying throughout — no big-bang cutover.
We implement affected-based builds that only run pipelines for changed packages. Tools like Nx, Turborepo, or custom path filtering in GitHub Actions/GitLab CI. Build times stay fast even as the repo grows.
Migrations run as a separate, idempotent step before deployment. We implement backward-compatible migration patterns so you can roll back code without rolling back data.
We'll analyze your current CI/CD, identify bottlenecks, and show you exactly how to cut build times and increase deploy frequency.
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