Technology serving the productInfrastructure and maintenance

Docker for repeatable delivery from development to production.

Consistency and scalability

Docker enables packaging apps in containers, ensuring consistency between environments and facilitating deployment.

Decision

Technology follows the product goal

Proof

5.0 on Google and public case studies

Outcome

Repeatable delivery across environments

01 / Fit

Product first. Stack second.

When Docker is the best choice

Docker works well in most projects requiring consistent environments.

  • Projects requiring dev/staging/prod consistency
  • Microservices and distributed apps
  • CI/CD pipelines
  • Apps requiring easy scaling

When to consider alternatives

Docker has its limitations - in some scenarios other solutions will be a better choice.

  • Very simple apps (may be overhead)
  • Apps requiring very low latency (better bare metal)

02 / Solution

Architecture and patterns

Docker offers flexible architecture based on containers and images.

  1. 01

    Multi-stage Builds

    Image size optimization through multi-stage builds.

  2. 02

    Docker Compose

    Orchestration of multiple containers for local development.

03 / Quality

Production readiness starts before launch.

Security and quality

Docker requires conscious container security approach.

  • Image Security

    Image scanning (Trivy, Snyk), minimal base images, regular updates.

  • Secrets Management

    Docker secrets, environment variables, not storing secrets in images.

Performance and maintenance

Docker offers good performance but requires optimization.

  • Image Size

    Target < 200MB for apps, using alpine images where possible.

  • Build Time

    Cache layers, multi-stage builds, parallel builds where possible.

04 / Delivery

How we deliver Docker projects

Docker is standard in our projects.

  1. 01

    Containerization

    Dockerfile, docker-compose.yml, image optimization, CI/CD integration.

FAQ

Questions before you decide

Is Docker needed in small projects?

Depends on case. For small projects may be overhead, but for most apps Docker facilitates deployment and maintenance.