DevOps and Kubernetes
that keep your product running
Automated deployments, scaling and monitoring. We set up your infrastructure so your team can ship faster and stress less.
I want to automate deploymentDevelopers should write code, not wrestle with servers. We design and implement CI/CD pipelines, containerization and Kubernetes orchestration. Every push goes through automated tests and deploys to the right environment. Your infrastructure grows with you — scaling automatically based on load.
Deployment is often the last manual step left in a company. Someone logs into the server, uploads the files and hopes it goes through. So the first question is not about tools but about today: what is done by hand when you release a version, who knows how to do it and what happens when that person is away.
When automating deployment pays off
Releasing a new version takes half a day and only one person can do it, with the procedure written down nowhere. The application goes down and you hear about it from a customer first. The test environment has quietly drifted from production, so what works on a developer machine fails on the server. Any one of those three is enough to justify automation, and the first step is always the same: describing how you deploy today.
What we deliver
CI/CD pipelines (GitLab CI, GitHub Actions)
Every push runs the tests and the build. Only what passed gets anywhere near production.
Application containerization (Docker)
The application and its environment travel in one image. It runs the same on a laptop as on the server.
Kubernetes orchestration and scaling
Busy periods add instances, quiet ones remove them again. One failed node does not stop the service.
Monitoring and alerting (Grafana, Prometheus)
Load and error graphs in one place. Alerts arrive before your users notice anything is wrong.
Infrastructure as Code
Servers and services described in a repository. Changes show up in history and environments can be rebuilt.
How we work together
- Deployment audit We go through how a release happens today, where the environments run and what exists only in one person's head.
- Containerization We package the application into an image and unify the environments so local runs and production stop diverging.
- Pipeline automation We set up automated tests, builds and deployment to a staging environment. Production ships on a single approval.
- Operational oversight We deploy metrics and log collection, set alert thresholds and agree who responds to them and when.
- Handover and further work We write the procedure into the repository and walk your team through it. After that we keep running the infrastructure, or just advise.
Tech Stack
We stay with tools other teams already know rather than scripts of our own. Terraform describes infrastructure so it can be rebuilt without us. Prometheus and Grafana are the standard, so once you run the infrastructure yourselves you can find both people and documentation for it.
When Kubernetes makes sense and when it does not
Kubernetes is not the answer to everything. For a single application with predictable load it brings operational overhead that outweighs the benefit: the cluster needs upgrades, monitoring and someone who understands it. A container on one server or a managed platform is often enough. It pays off where several services talk to each other and load swings enough that instances have to be added and removed, or where several environments and teams run side by side and a release must not mean downtime.
The order of the steps rarely changes. First we make the current deployment visible: what is done by hand, where access lives and how you roll back a release that goes wrong. Automation comes after that. A company that does not know how it deploys today only moves the problem one layer down by migrating to Kubernetes.
See what we have delivered
PortfolioFrequently asked questions
Do we need Kubernetes, or is one server enough?
If one server covers your traffic today and the load is stable, you do not need Kubernetes. The move starts to make sense once you have to add capacity without downtime, or run several services side by side that are released independently.
What does moving an existing application into containers involve?
The application has to be separated from the server it grew on: configuration moved into variables, files and the database taken out of the container. The hardest part is usually whatever has historically been written to local disk.
How does working across time zones look, and who responds when the application goes down at night?
We are on Central European Time. Night incidents follow whatever we agree: either the alerts reach us on call, or they reach your team and we supply the thresholds and the runbooks.
What language do you work in, including code and documentation?
English. Repositories, pipeline configuration, runbooks and alert messages are written in English by default, and calls and written updates run in English too. Czech stays internal to our team; nothing you receive depends on knowing it.
Who owns the cloud accounts and the access, and can we take the infrastructure over?
The cloud, registry and repository accounts stay in your name; we work under access you grant and can revoke at any time. The infrastructure code lives in your repository, so the environment can be rebuilt without us, and the contract states that the result is yours.
Do you handle backups and data recovery?
Yes, backups are part of designing the environment. What matters more than taking them is a verified restore: we agree how often and where a backup is restored as a test. A backup nobody has tried to restore does not count as one.
How long before the pipeline is working?
It depends on the state of your current deployment and how many environments the pipeline has to cover. We introduce it in parts; tests and builds run long before the whole chain is finished. You get a date once we have seen the existing setup, not before.
Other Services
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Contact us
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