Docker development company
We package your applications into small, reproducible Docker images, give developers a one-command local environment with Docker Compose, and wire image builds, scanning and signing into the CI pipeline that deploys to Kubernetes, ECS or Cloud Run.
- Senior engineers · IST + EST overlap
- NDA on day 1
- 24-hour reply
- Projects shipped
- 50+
- Code ownership
- 100%
- Client rating
- 4.8/5
- First reply
- 24h
Docker work that makes deployments boring
Krapton is a Docker development company that containerizes applications, cleans up existing Dockerfiles and builds the pipelines that turn a git push into a tested, scanned image. Most Docker problems in real codebases are not exotic: images several gigabytes in size because build tools ship to production, secrets baked into layers, containers running as root, and Compose files that drift from what production actually runs. Our engineers rewrite builds as multi-stage Dockerfiles on slim or distroless bases, use BuildKit cache mounts and secret mounts, produce multi-arch images for amd64 and arm64 with buildx, and attach SBOMs so security teams can see what is inside. Building images is half the job, so we also decide where they run: Kubernetes when you need its scheduling and ecosystem, Amazon ECS or Google Cloud Run when a simpler managed runtime covers the workload. Containerizing does not fix a fragile application, and we say so when the bottleneck is in the code.
Docker development services
Application containerization
We containerize web apps, APIs, workers and legacy services, separating config into environment variables, adding health checks and making processes handle SIGTERM so rolling deploys stop cleanly.
Dockerfile and image optimization
Multi-stage builds, ordered layers, .dockerignore files and slim or distroless bases cut image size and build time, which shortens deploys and narrows the vulnerability surface scanners report.
Docker Compose development environments
A compose.yaml brings up the app, database, cache and queue with seeded data, profiles for optional services and bind mounts for hot reload, so new developers run one command.
CI image pipelines
GitHub Actions or GitLab CI builds with buildx and registry caching, runs tests inside the image, scans it with Trivy or Docker Scout, signs it with cosign and pushes tagged digests.
Container security hardening
Containers run as non-root users with read-only filesystems, dropped Linux capabilities and pinned base image digests, and secrets arrive at runtime from a vault rather than through build arguments.
Orchestration and runtime choice
We move Compose or Swarm setups onto Kubernetes, Amazon ECS or Cloud Run, writing Helm charts or task definitions and matching resource limits to measured usage.
Why teams choose Krapton for Docker
Senior engineers, fixed scope, and code you own — the things agencies promise and rarely deliver.
Reproducible builds, not lucky ones
Base images are pinned by digest, lockfiles are copied before source, and builds run the same way on a laptop and in CI, so a passing build means something.
Supply chain you can audit
Every image gets an SBOM and provenance attestation from BuildKit, so when a new CVE lands you can query which running services contain the affected package.
Honest about Docker Desktop
We point out where Docker Desktop’s commercial license applies to your organization and set up alternatives such as Colima, Rancher Desktop or Podman where that suits your developers better.
Containers tested like code
Testcontainers spins up real Postgres, Redis or Kafka in integration tests, and container-structure checks confirm the image has the right user, ports and entrypoint before release.
How a Docker project runs with Krapton
01
Inventory and baseline
We list every service, its runtime, ports, volumes and secrets, and record current image sizes, build times and scanner findings as a baseline.
02
Dockerfiles and Compose
We write or rewrite Dockerfiles and the Compose stack, then have a developer outside the project start it from a clean machine.
03
Pipeline and registry
CI builds, tests, scans and signs images, pushes them to ECR, Artifact Registry or GHCR, and blocks releases on critical vulnerabilities.
04
Runtime rollout
Services move to the target runtime one at a time with health checks, resource limits, log shipping and a documented rollback to the previous image digest.
The Docker stack we build with
Docker development: questions answered
What does a Docker development company actually deliver?
It delivers working container builds and the automation around them, not just a Dockerfile. Typical deliverables are production Dockerfiles for each service, a Compose setup for local development, a CI pipeline that builds, tests, scans and pushes images, runtime configuration for Kubernetes, ECS or Cloud Run, and a runbook covering image updates, rollbacks and how to read scanner output.
Should every application be containerized?
No. Containers pay off when you run several services, need identical environments across laptops, CI and production, or deploy to Kubernetes or a container platform. A single static site belongs on a CDN, and a small app on a platform such as Vercel or a managed PaaS may gain nothing from Docker. Stateful databases can run in containers, yet for production data a managed service such as Amazon RDS usually means less operational risk.
How do you containerize a legacy application without breaking it?
By containerizing it as it is first, then improving it in small steps. We capture the current runtime, OS packages and config files, build an image that reproduces production behavior, and run the existing test suite or smoke checks against it. Only after that do we externalize configuration, move file storage to object storage, add health endpoints and split processes, because each change is easier to verify in isolation.
Is Docker Swarm still a reasonable choice, or do we need Kubernetes?
Swarm is workable for a handful of services on a few hosts, but it is rarely the best long-term bet. Its ecosystem and hiring pool are small next to Kubernetes. For modest workloads, a managed runtime such as Amazon ECS on Fargate, Google Cloud Run or Azure Container Apps gives you scheduling and scaling without running a control plane; Kubernetes makes sense once you need its operators, autoscaling and policy tooling.
What drives the cost of Docker development services?
The number of services and how far they are from container-ready drive cost most. Other factors are legacy dependencies such as OS-level packages or file-system state, the target runtime and whether it already exists, security requirements like image signing, SBOMs and vulnerability gates, the CI system in use, and how much of the work your team will own afterward. A short inventory of your services gives a realistic scope.
Ready to build? Tell us what you have in mind.
Send a short brief and a senior engineer will reply within one business day with next steps — no sales fluff.