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Containerization & Microservice Orchestration

Containerization & Microservice Orchestration

Discipline: Machine Learning Engineer | Module: Module 3: Machine Learning Operations (MLOps), Engineering & Deployment | Estimated Study Time: 28 Hours

Welcome to Containerization & Microservice Orchestration. This topic delivers foundational and advanced concepts designed for production engineering and real-world workflows.

Key Learning Objectives

  1. Application Containerization (Docker, Multi-stage Dockerfiles, Image Layer Optimization)
  2. Cluster Deployment (Kubernetes Deployments, Pods, Services, Horizontal Pod Autoscaling)

Detailed Curriculum Breakdown

Application Containerization (Docker, Multi-stage Dockerfiles, Image Layer Optimization)

Explore the fundamental principles, real-world patterns, and best practices for Application Containerization (Docker, Multi-stage Dockerfiles, Image Layer Optimization). Practice hands-on implementations to master these concepts.

// Code Example: Application Containerization (Docker, Multi-stage Dockerfiles, Image Layer Optimization)
// Implement verified patterns for production use
console.log("Mastering Application Containerization (Docker, Multi-stage Dockerfiles, Image Layer Optimization)");

Cluster Deployment (Kubernetes Deployments, Pods, Services, Horizontal Pod Autoscaling)

Explore the fundamental principles, real-world patterns, and best practices for Cluster Deployment (Kubernetes Deployments, Pods, Services, Horizontal Pod Autoscaling). Practice hands-on implementations to master these concepts.

// Code Example: Cluster Deployment (Kubernetes Deployments, Pods, Services, Horizontal Pod Autoscaling)
// Implement verified patterns for production use
console.log("Mastering Cluster Deployment (Kubernetes Deployments, Pods, Services, Horizontal Pod Autoscaling)");

Practical Application & Exercises

  1. Architecture Review: Evaluate how Containerization & Microservice Orchestration integrates with upstream and downstream systems.
  2. Implementation Challenge: Build a functional prototype demonstrating each of the subtopics.
  3. Validation & Testing: Verify performance and error handling under edge-case scenarios.

Summary Checklist