Book Image

Hands-On Microservices with Kubernetes

By : Gigi Sayfan
Book Image

Hands-On Microservices with Kubernetes

By: Gigi Sayfan

Overview of this book

Kubernetes is among the most popular open source platforms for automating the deployment, scaling, and operations of application containers across clusters of hosts, providing a container-centric infrastructure. Hands-On Microservices with Kubernetes starts by providing you with in-depth insights into the synergy between Kubernetes and microservices. You will learn how to use Delinkcious, which will serve as a live lab throughout the book to help you understand microservices and Kubernetes concepts in the context of a real-world application. Next, you will get up to speed with setting up a CI/CD pipeline and configuring microservices using Kubernetes ConfigMaps. As you cover later chapters, you will gain hands-on experience in securing microservices and implementing REST, gRPC APIs, and a Delinkcious data store. In addition to this, you’ll explore the Nuclio project, run a serverless task on Kubernetes, and manage and implement data-intensive tests. Toward the concluding chapters, you’ll deploy microservices on Kubernetes and learn to maintain a well-monitored system. Finally, you’ll discover the importance of service meshes and how to incorporate Istio into the Delinkcious cluster. By the end of this book, you’ll have gained the skills you need to implement microservices on Kubernetes with the help of effective tools and best practices.
Table of Contents (16 chapters)

Logging

Logging is the ability to record messages during the operation of your system. Log messages are typically structured and timestamped. They are often indispensable when trying to diagnose problems and troubleshoot your system. They are also critical when doing post-mortems and discovering root causes after the fact. In a large-scale distributed system, there will be many components that log messages. Collecting, organizing, and sifting through them is a non-trivial task. But first, let's consider what information is useful to log.

What should you log?

This is the million dollar question. A simplistic approach is to log everything. You can never have too much data, and it's difficult to predict what data you...