Docker

Docker vs Kubernetes explained: use Docker for local dev and small apps, and adopt Kubernetes for autoscaling, self-healing, and multi-host production clusters.

Learn how to run AI-ML workloads with Docker using GPU passthrough, NVIDIA CUDA images, and best practices for reproducible, scalable training and inference.

Learn how containerizing microservices with Docker enables consistent deployments, proven patterns, strong observability, and secure CI-CD pipelines with Kubernetes and GitOps.

Learn how persistent data in Docker works, when to use volumes vs bind mounts, and proven backup strategies for apps and databases across dev and production.

Learn Docker networking fundamentals and advanced patterns: bridge vs host vs overlay drivers, Docker DNS service discovery, IPAM, IPv6, and debugging tips.

Learn practical Dockerfile optimization with layer caching, multi-stage builds, and smaller images to speed CI/CD, cut costs, and reduce container attack surface.

Learn secure Docker deployments: harden images, run non-root, manage secrets with vaults or Docker Secrets, isolate networks, set resource limits, and monitor at runtime.

Docker Compose explained for local development: define multi-container apps in one YAML, run full stacks fast, use watch mode, update images safely, and support AI agent workflows.

Learn how to build, tag, and push Docker images to Docker Hub with multi-stage builds, safe tagging, digest pinning, scanning, and security best practices.

Learn Docker for beginners with core concepts, Docker images vs containers, Dockerfiles, registries, volumes, networking, and a practical workflow with best practices.