Production-Grade Docker
Run containers the way production systems do, through three real projects
This course is available via:
| Plan | Courses | Price | Action |
|---|---|---|---|
| DevOps Extended ⓘ | 6 | Subscribe |
What Will You Learn
What a container really is, how Docker is built, the CLI, and running your first container
Package an HTTP service as an image with one foreground process and a configurable port
Build and inspect images, then make them smaller with only the runtime dependencies
Configure containers at runtime, add health checks, and run them more securely
Build containers that run a job and exit, with clear exit codes and repeatable results
Work with running containers and read their logs to understand what happened
Push to private registries with authentication and choose a clear image tagging strategy
Isolated networks, service names instead of IP addresses, and DNS-based load balancing
Named volumes that keep database data safe when containers are recreated
Define a multi-service platform with Compose and manage its configuration and secrets
Scale replicas up and down, restart them safely, and remove failed replicas from traffic
Prerequisites
In order to start this course you must have these skills:
Familiarity with Linux commands, file system navigation, and editing configuration files
Understanding of IP addressing, ports, DNS, and basic connectivity troubleshooting
Cloning, branching, and committing, since Dockerfiles and Compose files are often version-controlled
For reading and writing Docker Compose configurations and inspecting container metadata
Ability to navigate a terminal, run commands, and interpret command output without a GUI
Understanding of how a simple web service or script executes, as we will containerize sample applications
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Instructor
Mohamed Gamal
Senior Platform Engineer II
4+ Years of Experience
A Senior DevOps/Platform Engineer specializing in multi-cloud infrastructure across AWS, GCP, and Azure, with deep expertise in Kubernetes, Terraform, and CI/CD automation. He has worked at companies such as Rabbit, Nagwa, and _VOIS, building scalable, secure, and cost-effective systems using Infrastructure as Code, container orchestration, and comprehensive monitoring. His experience includes enterprise-grade implementations of HashiCorp Vault, OIDC authentication, and cross-cloud ML infrastructure. He focuses on building reliable, scalable systems that help engineering teams move faster with confidence.