Docker Deep Dive From Containers to Scalable Microservices

This Docker deep dive goes beyond basics.
Learn how containers evolve into scalable, observable, production-ready microservices.

Starting from core Docker concepts like images, containers, and Dockerfiles, we gradually move into real-world system design patterns including asynchronous processing, message queues, caching layers, observability, scaling strategies, and resilience in production environments.

What you’ll learn:

Docker images vs containers (deep understanding)
How Dockerfiles and image layers work
Containers in microservices architectures
Asynchronous processing with message queues
Caching patterns using Redis or Memcached
Observability using Envoy, Prometheus, and Grafana
Scaling strategies for Dockerized applications
Handling stateful workloads in containers
Docker image optimization techniques

This video is designed for software engineers, backend developers, DevOps engineers, and system designers who want to understand not just how Docker works—but how it is used in real systems.

If you’re preparing for system design interviews, building production systems, or leveling up your backend or platform engineering skills, this video will give you strong architectural intuition.


#docker #dockercontainers #devops #caching #devopsengineer #optimization #prometheus #grafana #redis #scaling #design #designpatterns

Agentic AI :    • Agentic AI  

AI Agents ShortsPlaylist :    • Agentic AI Shorts  

Backend Shorts :    • Backend Shorts