Software · Cloud and infrastructure
DevOps tooling
Pipelines and automation that build, test and release your software the same safe way every time.
If a release needs a checklist, a free evening and one particular engineer, it will happen rarely and break often. We build pipelines that test every change, package it once, deploy it the same way to every environment and roll it back with one command, so shipping becomes a routine part of the day rather than an event.
What we build
- CI pipelines in GitHub Actions, GitLab CI or Jenkins with cached builds
- Container images built once, scanned and promoted across environments
- Infrastructure as code for every environment, reviewed like application code
- Preview environments created for each pull request and removed after merge
- Blue-green and canary deployments with automatic rollback on errors
- Secrets kept in Vault or a cloud secret store, never in repositories
- Release notes and change records generated from commits and tickets
DemoInteractive · sample data
Try it live.
A working sample with made-up data. It runs in your browser; nothing is sent anywhere.
ci@runner-04:~/shop-api$ git log -1 --oneline a91c3e2 Add delivery slot validation (#482) ci@runner-04:~/shop-api$ make ci
What it does well
Fast feedback
Tests run in parallel with caching, so developers hear about failures while context is fresh.
Build once
The exact artefact that was tested is the one deployed, with no surprise rebuilds.
Safe rollouts
Canary releases watch error rates and roll back by themselves if something goes wrong.
GitOps
The desired state of each environment lives in Git, and every change is a reviewed commit.
Supply chain checks
Dependencies and images are scanned, and builds are signed with provenance attached.
DORA metrics
Deployment frequency, lead time and change failure rate measured from your pipeline data.
Questions
We deploy by hand today. Where do we start?
With the pipeline for your most frequently changed application. We automate its build and tests first, then deployment to a test environment, then production with a rollback step. Each stage is useful on its own, so the team sees the benefit before the whole path is done.
Do we need Kubernetes for this?
No. Pipelines can deploy to virtual machines, app services, serverless functions or Kubernetes. We choose the target by what your application needs today, and keep the pipeline structure ready in case you move to containers later.
How do you handle database changes in deployments?
Schema changes are versioned migrations that run as a pipeline step, written to work with both the old and new code during the rollout. Destructive changes are split into separate releases, so a rollback never needs a dropped column back.