DevOps and delivery
Shipping should be routine, not an event. We automate the path from commit to production, so every change is built, tested and deployed the same way, and a rollback takes one step.
The tools
Reliable releases with Docker, Kubernetes and automated CI/CD pipelines.
Docker
Every service is packaged as a container image, so it runs the same on a laptop, in testing and in production. Small multi-stage images keep builds fast and the attack surface small.
Kubernetes
For workloads that need it: rolling updates, autoscaling, health checks and automatic restarts. When Kubernetes is more than a project needs, we use simpler managed container services.
CI/CD
Pipelines in GitHub Actions, GitLab CI or Azure DevOps that lint, test, build and deploy on every merge, with an approval step before production.
How we work with them
Infrastructure as code
Servers, networks and cloud services described in Terraform or Bicep and kept in version control, so environments can be rebuilt and every change is reviewed.
Zero-downtime releases
Rolling and blue-green deployments, database changes that stay compatible with the previous version, and fast rollback.
Monitoring and alerting
Dashboards and alerts for uptime, errors and response times, with written runbooks so whoever is on call knows what to do.
Security in the pipeline
Dependency and container image scanning, managed secrets and least-privilege deployment credentials, built into every pipeline.
Planning a project on this stack?
Tell us what you are building and we will tell you how we would approach it.