Cloud & DevOps

Docker

A platform for packaging applications and dependencies into portable containers that run consistently across environments.

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01What it is

In production terms.

Docker images bundle application code, runtime, libraries, and config into immutable layers defined by Dockerfiles. Containers share the host kernel but isolate processes, making local development mirror production topology without full VMs.

Codeaxes containerizes every production service with Docker to eliminate environment drift between developer laptops, CI runners, and cloud hosts. Docker Compose orchestrates multi-service local stacks that match Kubernetes or ECS deployments.

02Fit

Best-fit use cases.

01Local development environments mirroring production service topology
02CI pipelines building and scanning images before registry push
03Consistent Node.js, Python, and PostgreSQL versions across all environments
04Sidecar patterns for logging agents and proxy containers

03Trade-offs

Benefits and limits.

Benefits

Identical runtime environments from laptop to production cluster
Layer caching speeds up CI builds for unchanged dependencies
Isolates service dependencies without full virtual machines
Industry-standard format supported by every major cloud provider

Limitations

Container orchestration at scale requires Kubernetes or a managed service on top
Persistent state and volume management adds operational complexity
Image size bloat occurs without multi-stage builds and slim base images

04Ecosystem

Compatible technologies.

05In the field

Example applications.

Multi-service local stack with NestJS API, PostgreSQL, and Redis via Compose
CI pipeline building tagged images pushed to ECR on every main branch merge
Production deployment of containerized Django and Celery worker services

06Services

Where this stack shows up.

07Cloud & DevOps

Use Docker on a Codeaxes engagement.

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