We design and implement the complete journey: from containerizing your first app to a production-grade Kubernetes cluster with CI/CD, observability, and service mesh — in phases, without rewriting everything from scratch.
The Problem
It's not a code problem. It's an architecture problem. These symptoms appear in almost every team still running a monolith or that containerized halfway.
A change in one module means recompiling and deploying the entire application. The full pipeline — regression tests included — runs for hours. The team learns not to deploy on Fridays. The accumulated risk of every release slows down the business.
Without fault isolation, a bug in the payments module can take down the users module. One unhandled exception kills the whole application. An incident in one component becomes everyone's incident. Zero resilience by design.
The reports module consumes all CPU during nightly exports. To scale it, you have to scale the entire app. Infrastructure costs multiply by the most demanding component, not by what you actually need.
Running containers with docker run on a server isn't production — it's a monolith with extra steps. Without K8s there's no service discovery, no automatic health checks, restarts are manual, and rollback is a fragile script saved in a Notion page.
Many teams containerize their apps and stop at Compose. restart: always becomes the "high availability strategy". No service discovery, no readiness probes, deploying to production means SSH-ing to the server and running docker compose up by hand. No rolling updates, no blue/green, no automatic rollback. Compose is a brilliant tool for development — and a real operational risk when used as a production platform.
This is the most common scenario: the team containerized apps two years ago, but the next step — orchestration, declarative networking, GitOps, secrets management — never happened. Containers run loose, with no scheduling or observability. The journey stalled halfway, and technical debt keeps accumulating toward the point where K8s is no longer optional but urgent.
The Solution
This isn't a months-long project before you see results. Each phase delivers immediate value and sets the ground for the next.
Optimized container images (multi-stage builds, minimal base images, runtime-agnostic — Docker, Podman, or other), configured registry. Compose for reproducible development environments and as a stepping stone for teams currently running Compose in production.
Independent pipelines per microservice, production-grade K8s cluster (on-premise or cloud), Helm charts, and GitOps with ArgoCD. From commit to production without manual intervention. One-click rollback.
Prometheus and Grafana for metrics, Jaeger for distributed tracing across services, Istio or Linkerd for secure inter-service communication and traffic management. Full visibility into what's happening inside the cluster.
Specialized Delivery
"Many teams make it to Docker. Few complete the journey to Kubernetes. The difference isn't time or budget — it's having a team that knows both worlds and can take the container platform from containerization to orchestration, end to end, without the business feeling a thing."
We apply the Strangler Fig pattern: one service extracted at a time while the monolith keeps running. There's no day zero where everything changes — there's a gradual path with each step validated in production before the next.
Every microservice we design comes out of the drawing board already containerized, with health checks, readiness probes, liveness probes, and its own CI/CD pipeline. The container isn't added at the end as an afterthought — it's part of the design from day one.
We don't stop at Docker Compose. We take the platform all the way to production K8s with GitOps, secrets management, network policies, and observability. The result is a platform your internal team can operate — not a black box only we understand.
Technologies
CNCF and cloud-native tools we use in real containers and microservices projects.
Frequently asked questions
We cover the full cycle: containerizing your applications (Docker), building secure images, defining build and deployment pipelines, and the orchestration platform (Kubernetes) where they will run. The goal is for your team to be able to package, version and deploy in a repeatable way.
In most cases it is best to start by containerizing (replatform): it is faster, lower-risk and delivers immediate benefits in deployment and portability. A rewrite is only justified when the code is no longer maintainable. We assess each case; if the scope is larger, we approach it as a modernization project.
We scope by number of applications, their complexity and the target platform. A first batch of containerized applications in production usually takes 4 to 10 weeks. We start with a free initial consultation to size the portfolio. Real-world case: IPS — from legacy apps to containerized microservices.
We build in vulnerability scanning, minimal base images, a private registry and update policies from the start. To automate the build, test and deploy cycle continuously, we pair it with our DevOps service.
Let's talk about your current architecture and how to move it to microservices with Docker and Kubernetes, in phases, without disrupting the business.
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