Running Windows Containers on AWS: A complete guide to successfully running Windows containers on Amazon ECS, EKS, and AWS Fargate

Scale up your Windows containers seamlessly on AWS powered by field-proven expertise and best practices on Amazon ECS, EKS, and Fargate

Purchase of the print or Kindle book includes a free PDF eBook

Key Features

• Leverage the most recent best practices to run and manage Windows containers on AWS
• Learn about AWS tools to containerize and run Windows containers on AWS
• Deeper understanding on how Amazon ECS, EKS, and Fargate supports Windows containers

Book Description

Windows applications are everywhere, from basic intranet applications to high-traffic public APIs. Their prevalence underscores the importance of combining the same tools and experience for managing a modern containerized application with existing critical Windows applications to reduce costs, achieve outstanding operational excellence, and modernize quickly. This comprehensive guide to running and managing Windows containers on AWS looks at the best practices from years of customer interactions to help you stay ahead of the curve.

Starting with Windows containers basics, you'll learn about the architecture design that powers Amazon ECS, EKS, and AWS Fargate for Windows containers. With the help of examples and best practices, you'll explore in depth how to successfully run and manage Amazon ECS, EKS, and AWS Fargate clusters with Windows containers support. Next, the book covers day 2 operations in detail, from logging and monitoring to using ancillary AWS tools that fully containerize existing legacy .NET Framework applications into containers without any code changes. The book also covers the most common Windows container operations, such as image lifecycle and working with ephemeral hosts.

By the end of this book, you'll have mastered how to run Windows containers on AWS and be ready to start your modernization journey confidently.

What you will learn

• Get acquainted with Windows container basics
• Run and manage Windows containers on Amazon ECS, EKS, and AWS Fargate
• Effectively monitor and centralize logs from Windows containers
• Properly maintain Windows hosts and keep container images up to date
• Manage ephemeral Windows hosts to reduce operational overhead
• Work with the container image cache to speed up the container's boot time

Who this book is for

This book is targeted towards DevOps engineer, SREs, solution architects, or a Windows sysadmin who wants to learn more about running Windows containers on AWS. In order to learn from this book, you should have a basic understanding of containers, Docker, and Kubernetes. The book is also beneficial for Windows application developers who want to explore how to achieve better application scalability using containers as a compute layer.

Table of Contents

1. Windows Container 101
2. Amazon Web Services - Breadth and Depth
3. Amazon ECS - Overview
4. Deploying a Windows Container Instance
5. Deploying an EC2 Windows-Based Task
6. Deploying a Fargate Windows-Based Task
7. Amazon EKS - Overview
8. Preparing the Cluster for OS Interoperability
9. Deploying a Windows Node Group
10. Managing a Windows Pod
11. Monitoring and Logging
12. Managing a Windows Container's Image Life Cycle
13. Working with Ephemeral Hosts
14. Implementing a Container Image Cache Strategy
15. AWS Windows Containers Deployment Tools

Marcio Morales is an expert on Microsoft stack technology with a broad technical breadth and deep understanding of Microsoft products. He combines more than 18 years of Microsoft technology experience as a consultant and technical instructor (Microsoft MCT). Nowadays, Marcio works as a Principal Specialist Solution Architect at AWS, helping customers to migrate, optimize and modernize Windows workloads on the AWS platform.

Marcio holds a bachelor degree in Network Computer, LAN/WAN Management and a master's degree in Network Architecture and Cloud Computing. In the certification world, Marcio holds more than 30 certifications from vendors such as Microsoft, AWS, Hashicorp, and Kubernetes.