Book Image

Mastering Kubernetes - Third Edition

By : Gigi Sayfan
Book Image

Mastering Kubernetes - Third Edition

By: Gigi Sayfan

Overview of this book

The third edition of Mastering Kubernetes is updated with the latest tools and code enabling you to learn Kubernetes 1.18’s latest features. This book primarily concentrates on diving deeply into complex concepts and Kubernetes best practices to help you master the skills of designing and deploying large clusters on various cloud platforms. The book trains you to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. With the two new chapters, you will gain expertise in serverless computing and utilizing service meshes. As you proceed through the chapters, you will explore different options for network configuration and learn to set up, operate, and troubleshoot Kubernetes networking plugins through real-world use cases. Furthermore, you will understand the mechanisms of custom resource development and its utilization in automation and maintenance workflows. By the end of this Kubernetes book, you will graduate from an intermediate to advanced Kubernetes professional.
Table of Contents (19 chapters)
17
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18
Index

Troubleshooting problems

Troubleshooting a complex distributed system is no picnic. Abstractions, separation of concerns, information hiding, and encapsulation are great during development, testing, and when making changes to the system. But when things go wrong, you need to cross all those boundaries and layers of abstraction from the user action in their app through the entire stack, all the way to the infrastructure, thus crossing all the business logic, asynchronous processes, legacy systems, and third-party integrations. This is a challenge, even with large monolithic systems, but even more so with microservice-based distributed systems. Monitoring will assist you, but let's talk first about preparation, processes, and best practices.

Taking advantage of staging environments

When building a large system, developers work on their local machines (ignoring cloud development environments here) and eventually, the code is deployed to the production environment. However...