Docker Automation Workflows
This page contains automation workflows built using
Docker.
Total expected time saved across workflows:
26 hours per week.
Docker is a containerization platform that enables the creation, deployment, and management of lightweight, portable containers. These workflows focus on isolating applications and their dependencies to ensure consistency across environments. Typical automation use cases include streamlining application deployment, simplifying environment setup, and enabling scalable microservices architectures. The skill level distribution for Docker users varies, with a broad range from beginners to advanced practitioners, reflecting its widespread adoption. Given the absence of specific statistics on time savings, it is recognized that Docker can reduce manual configuration and deployment efforts, leading to more efficient workflows. Overall, Docker facilitates rapid, consistent, and scalable application delivery, making it a fundamental tool in modern DevOps practices.
Available Workflows
- Ansible: Docker Swarm Deployment - 6 hours/week saved - Advanced
- GitHub Actions: Dockerized App CI Pipeline - 5 hours/week saved - Intermediate
- Zabbix: Docker Container Monitoring - 4 hours/week saved - Intermediate
- Prometheus: Docker Host Monitoring - 4 hours/week saved - Intermediate
- GitLab CI: Docker Image Build & Push - 4 hours/week saved - Intermediate
- Puppet: Docker Host Configuration - 3 hours/week saved - Intermediate