Lesson 1
Introduction to Microservices at Scale with AWS and Kubernetes
Understand the concepts, skills, and goals you'll work through as well as prerequisites and tools to succeed in your learning journey.
Course
This lesson will provide you with a comprehensive understanding of microservices architecture, containers, and Kubernetes in the context of AWS. You will learn how to build, deploy, and manage containerized applications at scale while utilizing AWS tools and services. By the end of your journey, you will have a strong foundation in containerization, microservices, and Kubernetes DevOps skills, enabling you to tackle real-world challenges in your professional career.
This lesson will provide you with a comprehensive understanding of microservices architecture, containers, and Kubernetes in the context of AWS. You will learn how to build, deploy, and manage containerized applications at scale while utilizing AWS tools and services. By the end of your journey, you will have a strong foundation in containerization, microservices, and Kubernetes DevOps skills, enabling you to tackle real-world challenges in your professional career.
Intermediate
2 weeks
Real-world Projects
Completion Certificate
Last Updated September 3, 2024
Skills you'll learn:
Prerequisites:
No experience required
Lesson 1
Understand the concepts, skills, and goals you'll work through as well as prerequisites and tools to succeed in your learning journey.
Lesson 2
Dive into Docker containers and the Docker Engine and create, deploy, and manage containers. You'll learn about containerization, Docker images, Dockerfiles, and how to interact with AWS ECR.
Lesson 3
Understand the significance of microservices and how they affect the responsibilities of DevOps engineers. Learn about continuous integration and deployment and how to use AWS tools like CodeBuild.
Lesson 4
Use Kubernetes to solve the cumbersome overhead of managing microservices deployed with Docker. Learn the basics of Kubernetes including architecture, components, and key concepts.
Lesson 5
Extend your Kubernetes knowledge to applying cluster management to production workloads: Helm charts, logging, and scaling.
Lesson 6 • Project
Implement your understanding of Docker, ECR, CodeBuild, and Kubernetes to take an existing project into a production-ready Kubernetes environment in AWS
Data Platform Engineer
Justin Lee designs and builds modern scalable systems and consults for Fortune 500 companies. He currently works in the Silicon Valley as a platform engineer to enable users' data workflows. He has a BS in Computer Science from UCLA and is often mentoring and teaching developers through Codementor.
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