New Release: The Gorilla Guide to…® Observability in Kubernetes, Foundation Edition

Computing resources (CPUs, memory, network switches, etc.) are cheap these days. But organizations’ requirements are growing, so it’s still crucial to make the most of your resources. Efficiency also cuts down on your carbon footprint, a goal most organizations are striving for.

Kubernetes has many layers and different types of resources, all of them in tight interaction. If you have performance problems, it might be because long-running jobs are monopolizing CPUs and making it hard to schedule new jobs. At the other extreme, huge numbers of short jobs might be weighing you down with the overhead of setting up and tearing down pods and network connections.

Thus, it’s critical to have observability, which Dan Sullivan defines as “the ability to understand the state of a system by looking at its outputs.” (He offers a more concrete, detailed definition later.)

In The Gorilla Guide to…Observability in Kubernetes, Foundation Edition, Sullivan explains the traits of efficiency and why it looks different depending on the layer of the system you’re at and the component you’re examining. He shows how monitoring different components—such as individual pods or entire clusters—can offer different insights. He also covers the basics of graphical interfaces (dashboards) to provide observability (Figure 1).

[Please insert Figure 1: A basic Kubernetes monitoring dashboard featuring pods]

Inside the Guide

Gorilla Guides make learning and discovery approachable and easy, and they take the guesswork out of navigating complicated IT technologies. Written by an industry expert, and brought to you by SimSpace, this resource is packed full of trusted information about observability in the cloud!

Download the book and learn all about:

  • Understanding the State of Services and Clusters
  • Observability as a Comprehensive Information Source
  • Extending Prometheus and Grafana with Kasten K10 Metrics


Table of Contents


Understanding the State of Clusters, Including Services

Observability in Kubernetes

Observability Tools

About The Author

Dan Sullivan is a principal engineer and architect specializing in cloud architecture, data engineering, and analytics. He has designed and implemented solutions for a wide range of industries and is the author.

About Kasten by Veeam

Kasten by Veeam® is the leader in Kubernetes backup. Kasten K10 is a Cloud Native data management platform for Day 2 operations. It provides enterprise DevOps teams with backup/restore, disaster recovery and application mobility for Kubernetes applications. Kasten K10 features operational simplicity and integrates with relational and NoSQL databases, all major Kubernetes distributions, and runs in any cloud to maximize freedom of choice. Our customers are confident that their Kubernetes applications and data are protected and always available with the most easy-to-use, reliable and powerful Cloud Native data management platform in the industry. For more information, visit www.kasten.io or follow @kastenhq on Twitter.

Download the book here!