Docker containerization
We package services with Docker so they run the same everywhere, wired into CI/CD pipelines and run on AWS, with Kubernetes where the workload needs it.
One image that runs the same everywhere
Docker packages your app with everything it needs, so it behaves the same on a laptop, in CI, and in production. That ends the "works on my machine" problem and makes deployments predictable. We write lean, multi-stage images that build fast and stay small, so pulls and rollouts are quick rather than a bottleneck.
- Identical behaviour across environments
- Lean multi-stage images
- Fast builds and rollouts
Sensible images, not bloated ones
A careless image is slow, large, and a security risk. We base images on trusted, minimal foundations, keep secrets out of layers, and order the build for good cache hits. The result is images that are cheap to store, quick to ship, and safe to run, with a Dockerfile the next engineer can actually read.
- Minimal, trusted base images
- No secrets baked into layers
- Readable, cache-friendly Dockerfiles
Wired into your pipeline
Containers earn their keep when they are part of an automated flow. We build and scan images in CI, tag them clearly, and push to a registry, so every release is a known artifact rather than a manual build. That makes rollbacks trivial: deploy the previous tag and you are back where you were.
- Built and scanned in CI
- Clear tags and a registry
- Trivial rollbacks
Run on AWS, scaled when needed
We run containers on AWS ECS Fargate for most workloads, and on Kubernetes when the system genuinely needs orchestration. Either way the setup is defined as code, scales with demand, and stays simple enough for your team to operate without a dedicated platform group.
- ECS Fargate by default
- Kubernetes when warranted
- Defined as code
Part of the wider stack
Containers underpin our DevOps work and AWS architecture, running Django and FastAPI services in production.
Docker questions
Containers make your app run the same everywhere, simplify deployment, and make rollbacks easy. They are the foundation for reliable CI/CD and for scaling on AWS with ECS Fargate or Kubernetes.
Not necessarily. For most workloads ECS Fargate runs your Docker images with far less operational overhead. We use Kubernetes only when the system genuinely needs that level of orchestration.
Yes. We write the Dockerfiles, set up the build and registry, and wire it into a pipeline, so your existing app ships as clean, repeatable images.
Let's build, scale, or automate it.
Hire a full senior team or a single specialist across frontend, backend, AWS, DevOps, and AI. You work directly with the engineers, not an account manager.