Can you convert our docker-compose.yml automatically?

Tools like Kompose exist, and the output is a starting point rather than something you should run. Compose has no concept of probes, resource limits, rolling updates, or ingress. KOA Cloud translates the intent of your compose file into manifests that behave correctly under Kubernetes.

Our application is not containerized at all. Is that a problem?

No, that is a common starting point. Applications running on a VM, on bare metal, or under systemd get packaged first, with reproducible builds and proper health checks, before anything moves to a cluster.

What about our database?

Databases are handled deliberately. Often the right answer is a managed database rather than a pod, and KOA Cloud will say so. Where a database does belong in the cluster, it gets persistent storage, backups, and a tested restore.

How long does a migration take?

A single Docker Compose stack usually takes 4 to 6 weeks. Several applications with stateful workloads and compliance requirements run longer. You get a timeline after the assessment, not before.

Will there be downtime?

The plan is always a staged cutover with the old stack still running. Most migrations complete with no user visible downtime, and the rollback path stays open until you are confident.

Do we need Kubernetes at all?

Sometimes not. If you run one small application on one host with modest traffic, Kubernetes adds more operational load than it removes. KOA Cloud will tell you that during the assessment rather than after the invoice.

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Kubernetes Migration & Containerization

Move standalone and Docker Compose applications onto Kubernetes. Containerization, Helm charts, zero-downtime cutover. Remote or on-site.

Delivery Time

Project-Based

Support

Post-Migration Support

Availability

Available Now

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Overview

From Docker Compose to Production Kubernetes

Docker Compose is excellent for local development. It is also where a lot of production systems quietly ended up, running on a single host, deployed by hand, with no way to roll back and no way to scale beyond that one machine.

Moving to Kubernetes fixes that. Done badly, it also multiplies your problems.

What Actually Gets Migrated

A migration is not a file conversion. Compose has no concept of readiness probes, resource limits, rolling update strategy, pod disruption budgets, or ingress. Those are the things that make a cluster behave in production, and none of them exist in your compose file to convert.

KOA Cloud translates what your stack is trying to do into Kubernetes primitives that hold up under load, upgrades, and failure.

Standalone Applications

Not everything starts in a container. Applications running on a VM, under systemd, or on bare metal get packaged first: a Dockerfile with a pinned base image, a multi-stage build, a real health endpoint, and configuration through environment rather than files edited on the server.

Only once it builds and runs reproducibly does it go near a cluster.

Stateful Workloads

Databases, queues, and file storage are where migrations go wrong. Each one gets a deliberate decision rather than a default. Often a managed database is the right answer and KOA Cloud will say so. Where something does belong in the cluster, it gets persistent volumes, a backup schedule, and a restore that has actually been tested.

Cutover Without Downtime

The old stack keeps running. The new platform comes up beside it, takes a share of traffic, and proves itself before it takes the rest. Rolling back stays a decision you can make calmly, not an incident.

Should You Migrate At All?

Sometimes the honest answer is no. One small application, one host, predictable traffic, and a team of two: Kubernetes will cost you more in operational overhead than it returns. That comes out during the assessment, before you have committed to anything.

Get Started

Send KOA Cloud your docker-compose.yml, or a description of what runs where. KOA Cloud will tell you what migrates cleanly, what needs work, and roughly what it takes.

Key Features

Docker Compose to Kubernetes

Your compose file becomes real Kubernetes manifests. Services, volumes, networks, and environment config translated properly, not machine converted and left to break.

Containerizing Standalone Apps

Applications running on a VM, on bare metal, or under systemd get packaged into images with sensible base layers, health checks, and a build that is reproducible.

Helm Charts You Can Maintain

One chart per application, values files per environment, no copy-pasted YAML across dev, staging, and production.

Zero-Downtime Cutover

Traffic moves gradually. The old stack keeps running until the new one proves itself, and rolling back is a decision rather than an emergency.

What's Included

Assessment of the current stack and its dependencies
Dockerfiles with multi-stage builds and pinned base images
Kubernetes manifests or Helm charts per service
Persistent storage, secrets, and config mapping
Ingress, TLS certificates, and DNS cutover plan
Health checks, readiness probes, and resource limits
Database and stateful workload migration
CI/CD pipeline building and deploying the images
Rollback plan and a rehearsed cutover runbook
Handover documentation and team walkthrough

The KOA Cloud Process

Assessment

KOA Cloud maps what you run today. Services, data, dependencies, and the parts nobody wants to touch. You get an honest view of what containerizes cleanly and what does not.

Containerization

Applications get Dockerfiles, images get built reproducibly, and everything runs locally before it goes anywhere near a cluster.

Manifests & Charts

Compose services become Kubernetes workloads with proper probes, resource limits, storage, and per-environment configuration.

Staged Cutover

The new platform runs alongside the old one. Traffic shifts gradually, with a rollback path at every step.

Handover

Runbooks, documentation, and a walkthrough so your team owns the platform rather than depending on KOA Cloud.

Technologies KOA Cloud Use

Docker

Docker Compose

Kubernetes

Helm

Kustomize

ArgoCD

Buildpacks

Trivy

PostgreSQL

Terraform

Perfect For

Docker Compose in Production

Compose works until you need high availability, rolling updates, or more than one host. This is the usual reason people call.

Legacy App on a VM

An application running on a server nobody wants to reboot, with deployment steps that live in somebody's head.

Outgrowing a Single Host

Traffic or data has grown past what one machine handles, and scaling vertically has stopped being an option.

Consolidating Environments

Dev, staging, and production drifted apart. Containerizing makes them the same thing with different values.

Ready to Get Started?

Let us discuss how Kubernetes Migration & Containerization can help your organization.

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