Book Image

The DevOps 2.5 Toolkit

By : Viktor Farcic
Book Image

The DevOps 2.5 Toolkit

By: Viktor Farcic

Overview of this book

Building on The DevOps 2.3 Toolkit: Kubernetes, and The DevOps 2.4 Toolkit: Continuous Deployment to Kubernetes, Viktor Farcic brings his latest exploration of the Docker technology as he records his journey to monitoring, logging, and autoscaling Kubernetes. The DevOps 2.5 Toolkit: Monitoring, Logging, and Auto-Scaling Kubernetes: Making Resilient, Self-Adaptive, And Autonomous Kubernetes Clusters is the latest book in Viktor Farcic’s series that helps you build a full DevOps Toolkit. This book helps readers develop the necessary skillsets needed to be able to operate Kubernetes clusters, with a focus on metrics gathering and alerting with the goal of making clusters and applications inside them autonomous through self-healing and self-adaptation. Work with Viktor and dive into the creation of self-adaptive and self-healing systems within Kubernetes.
Table of Contents (9 chapters)
8
What Did We Do?

Which metric types should we use?

If this is the first time you're using Prometheus hooked into metrics from Kube API, the sheer amount might be overwhelming. On top of that, consider that the configuration excluded many of the metrics offered by Kube API and that we could extend the scope even further with additional exporters.

While every situation is different and you are likely to need some metrics specific to your organization and architecture, there are some guidelines that we should follow. In this section, we'll discuss the key metrics. Once you understand them through a few examples, you should be able to extend their use to your specific use-cases.

The four key metrics everyone should utilize are latency, traffic, errors, and saturation.

Those four metrics been championed by Google Site Reliability Engineers (SREs) as the most fundamental metrics for tracking...