Welcome to Compute & Container Orchestration Across AWS & Azure! In this course, we will explore how to design, deploy, and manage scalable compute and containerized workloads across AWS and Azure. We'll compare core services like EC2 and Azure VMs, dive into serverless options such as AWS Lambda and Azure Functions, and learn how to implement autoscaling strategies that respond dynamically to demand. You'll also gain practical experience with Kubernetes orchestration in multicloud environments, including how to unify clusters using service mesh technologies like Istio and Linkerd.

Intended audience

This course is intended for IT professionals, cloud architects, and DevOps engineers who are responsible for designing, deploying, and managing workloads across multiple cloud platforms. This course is especially valuable for those preparing for cloud certifications or working in environments that require multicloud strategies, including compute optimization, container orchestration, and cross-cloud scalability.

Learning objectives

By the end of the course, you'll be able to:

Compare and select compute services across AWS and Azure
Design resilient, autoscaled workloads in multicloud environments
Deploy and manage Kubernetes clusters across clouds
Optimize compute costs using spot instances, savings plans, and reserved capacity
Implement service mesh solutions for secure cross-cloud communication

Prerequisites

To get the most out of this course, you should have:

A foundational understanding of cloud computing
Experience with either AWS or Azure
Familiarity with virtual machines, containers, and basic networking concepts

Compute & Container Orchestration Across AWS & Azure: Introduction