Book Image

Introduction to DevOps with Kubernetes

By : Onur Yılmaz, Süleyman Akba≈ü
Book Image

Introduction to DevOps with Kubernetes

By: Onur Yılmaz, Süleyman Akba≈ü

Overview of this book

Kubernetes and DevOps are the two pillars that can keep your business at the top by ensuring high performance of your IT infrastructure. Introduction to DevOps with Kubernetes will help you develop the skills you need to improve your DevOps with the power of Kubernetes. The book begins with an overview of Kubernetes primitives and DevOps concepts. You'll understand how Kubernetes can assist you with overcoming a wide range of real-world operation challenges. You will get to grips with creating and upgrading a cluster, and then learn how to deploy, update, and scale an application on Kubernetes. As you advance through the chapters, you’ll be able to monitor an application by setting up a pod failure alert on Prometheus. The book will also guide you in configuring Alertmanager to send alerts to the Slack channel and trace down a problem on the application using kubectl commands. By the end of this book, you’ll be able to manage the lifecycle of simple to complex applications on Kubernetes with confidence.
Table of Contents (11 chapters)

Monitoring Applications in Kubernetes

In this section, we will explore how to monitor infrastructures and applications by using the most commonly used tools in Kubernetes. We will also discover how we can expose our custom metrics from these applications and set up alert notifications so that we will have a fully capable monitoring system.

We will start with Prometheus as a tool for collecting metrics from a cluster and Alertmanager as an alert notifier. Then, we'll continue with Grafana as the visualizer tool for the metrics obtained by Prometheus. Finally, we'll complete the system by configuring a Slack channel to receive these alert notifications.


Prometheus is an open source monitoring and alerting system. It periodically collects real-time data from the configured applications and stores them in a database in timely order, also called time series data. Prometheus has a querying language called Prometheus Query Language (PromQL), which enables the...