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

Understanding observability

Observability is a big word. What does it mean in practice? There are different definitions out there and big debates regarding how monitoring and observability are similar and different. I take the stance that observability is the property of the system that defines what we can tell about the state and behavior of the system, right now and historically. In particular, we are interested in the health of the system and its components. Monitoring is the collection of tolls, processes, and techniques we use to increase the observability of the system.

There are different facets of information that we need to collect, record, and aggregate in order to get a good sense of what our system is doing. Those facets include logs, metrics, distributed traces, and errors. The monitoring or observability data is multi-dimensional and crosses many levels. Just collecting it doesn't help much. We need to be able to query it, visualize it, and alert other systems...