devproscons

Docker vs Terraform

A side-by-side technical matrix of Docker (DevOps & Cloud) and Terraform (DevOps & Cloud) — summaries, strengths and structural trade-offs, symmetrically laid out.

DevOps & Cloud

Docker

Docker packages applications and their dependencies into portable container images that run identically anywhere. It underpins most modern CI pipelines and deployment workflows.

Pros

  • Reproducible environments. An image runs identically on laptops, CI, and production servers. 1
  • Fast startup. Containers share the host kernel, starting in milliseconds instead of minutes. 0
  • Huge ecosystem. Docker Hub offers prebuilt images for nearly every database, runtime, and tool. 0
  • Layered builds. Image layers cache unchanged steps, keeping repeat builds fast. 0
  • Industry standard. OCI images work with Kubernetes, Podman, and every major cloud. 0

Cons

  • Linux-first design. macOS and Windows run containers inside a VM, costing performance. 0
  • Image bloat. Careless Dockerfiles produce multi-gigabyte images that slow deploys. 0
  • Root daemon risk. The default daemon runs as root, widening the attack surface. 0
  • Not full isolation. Shared-kernel containers isolate less strongly than virtual machines. 0
DevOps & Cloud

Terraform

Terraform provisions cloud infrastructure declaratively from versioned configuration files, tracking real-world state to plan safe changes. It supports every major cloud through a large provider ecosystem.

Pros

  • Multi-cloud coverage. One language provisions AWS, GCP, Azure, and hundreds of providers. 0
  • Plan before apply. Every change previews exactly what will be created or destroyed. 0
  • Versioned infrastructure. Infrastructure changes go through code review like application code. 0
  • Module reuse. Shared modules encode team standards once and reuse everywhere. 0

Cons

  • State file fragility. Corrupted or conflicting state can block or damage deployments. 0
  • Drift headaches. Manual console changes diverge from code until re-imported. 0
  • License change. The 2023 BUSL license pushed some teams toward OpenTofu. 0
  • Slow feedback. Large plans take minutes, stretching iteration cycles. 0