Microservices architecture and infrastructure on Kubernetes
We design service architecture, move monoliths into containers and set up Kubernetes with CI/CD, monitoring and backups — in your cloud or on your own hardware.
Who we work with and what we solve
What’s included
A map of environments, bottlenecks, failure risks and cost of ownership.
Service boundaries, API contracts, queues and data — no splitting for the sake of splitting.
Clusters, autoscaling, ingress, secrets and access policies.
Pipelines, environments, canary and blue-green releases, one-click rollback.
Metrics, tracing, logs in one place, and alerts with thresholds that make sense.
Backups, replication, a recovery plan and regular failure drills.
Process
Timelines are a guide — they depend on the size of the system and the state of your environments.
Environments, the release process, failure metrics and cost of ownership.
Service boundaries, the target design, a migration plan that keeps the product running.
Cluster, CI/CD, monitoring and backups — on staging first, then in production.
One service at a time, with the option to fall back to the monolith.
Stack and tools
Questions
Do we actually need microservices?
Often not. If the monolith builds and releases cleanly, it is cheaper to fix the pipelines and split out only the bottlenecks. If there is nothing worth splitting, we will say so.
Isn’t Kubernetes overkill for our load?
Sometimes it is. Occasionally docker compose on a couple of servers, with backups and monitoring, is enough — we cost out ownership for both options.
Who runs this once you are gone?
Your team: we hand over documentation and runbooks and train the people on call. Or we run it ourselves under an SLA — whichever suits you.
Can it run on our own hardware, without a cloud?
Yes. We deploy inside your own perimeter, including closed networks with no internet access — infrastructure as code, fully reproducible.