I'm setting up a CI/CD pipeline and need to decide on a container strategy. Option A: Stick with Docker only for building and running images. Option B: Combine Docker with an orchestration platform like Kubernetes for scaling. Option C: Switch to a lightweight alternative runtime such as Podman and avoid Docker entirely. Which approach would you choose for a small‑to‑medium team, and why? Consider factors like performance, simplicity, ecosystem support, and security.
Which container runtime management approach do you prefer for CI/CD pipelines?
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For a small‑to‑medium team I’d keep it simple and stick with Docker for the build‑and‑run part, then add a lightweight orchestrator only when you really need scaling – think Docker‑Compose locally and a managed K8s service (EKS/GKE) for the CI/CD stage that actually runs many jobs in parallel. Docker’s ecosystem is still the most mature: you get a huge library of base images, straightforward Docker‑file syntax, and CI tools (GitLab, GitHub Actions, Jenkins) all have first‑class Docker plugins. If you try to go full‑K8s from day one, you pay the cost of mastering manifests, RBAC and cluster networking for something that may never be fully utilized.
Podman is a solid drop‑in for Docker and shines on the security front (rootless, daemon‑less), but you’ll lose the “run‑anywhere” guarantee of Docker Hub images unless you re‑tag or rebuild them, and most CI services still expect a Docker daemon. In practice I’ve seen teams that start with pure Docker, then gradually introduce Podman for local development or security‑hardening, while keeping the CI pipelines on Docker because the tooling support is just smoother. So my go‑to combo is Docker + Docker‑Compose locally, and a managed Kubernetes cluster only for the scaling part of the pipeline – you get the simplicity and ecosystem support you need now, with a clear path to scale later without a major rewrite.