Containers solve a real problem: the same artefact runs on a laptop, in staging and in production. Kubernetes solves a different one, and not every product has it yet. We are happy to say when you do not need a cluster.
Images worth shipping
Multi-stage builds, a minimal base, no build toolchain in the runtime layer, no
secrets baked in, and a tag that points at a commit rather than at latest. A
small image is not vanity — it is a faster deploy and a smaller thing to patch
when a CVE lands.
When orchestration earns its keep
Several services with different scaling profiles, rolling deploys with real health gates, jobs and cron work beside long-running processes, or a platform team that will still be here in two years. If your product is one API and one worker, a managed container runtime is less to own and we will recommend it.
The settings that matter under load
- Liveness and readiness probes that check the thing that actually breaks
- Requests and limits set from measurements, not from a template
- Pod disruption budgets so a node drain does not take the service with it
- Graceful shutdown, so in-flight work finishes before the container stops
Rollback is the feature
A deploy strategy is only as good as its reverse. We keep the previous release one command away and rehearse that path, because the middle of an incident is a bad time to read documentation.
What comes with it
Centralised logs, metrics and traces on day one. A cluster you cannot observe is a cluster you cannot debug.
Runs on AWS or Google Cloud, described in Terraform, deployed by CI/CD.