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)

Distributed tracing

The notifications that alert you that something is wrong can be as vague as Something is wrong with the website. Well, that's not very useful for troubleshooting, detecting the root cause, and fixing it. This is especially true for microservice-based architectures where every user request can be handled by a large number of microservices and each component might fail in interesting ways. There are several ways to try and narrow down the scope:

  • Look at recent deployments and configuration changes.
  • Check whether any of your third-party dependencies suffered an outage.
  • Consider similar issues if the root cause hasn't been fixed yet.

If you're lucky, you can just diagnose the problem right away. However, when debugging large-scale distributed systems, you don't really want to rely on luck. It's much better to have a methodical approach...