Book Image

Bootstrapping Service Mesh Implementations with Istio

By : Anand Rai
4 (1)
Book Image

Bootstrapping Service Mesh Implementations with Istio

4 (1)
By: Anand Rai

Overview of this book

Istio is a game-changer in managing connectivity and operational efficiency of microservices, but implementing and using it in applications can be challenging. This book will help you overcome these challenges and gain insights into Istio's features and functionality layer by layer with the help of easy-to-follow examples. It will let you focus on implementing and deploying Istio on the cloud and in production environments instead of dealing with the complexity of demo apps.  You'll learn the installation, architecture, and components of Istio Service Mesh, perform multi-cluster installation, and integrate legacy workloads deployed on virtual machines. As you advance, you'll understand how to secure microservices from threats, perform multi-cluster deployments on Kubernetes, use load balancing, monitor application traffic, implement service discovery and management, and much more. You’ll also explore other Service Mesh technologies such as Linkerd, Consul, Kuma, and Gloo Mesh. In addition to observing and operating Istio using Kiali, Prometheus, Grafana and Jaeger, you'll perform zero-trust security and reliable communication between distributed applications. After reading this book, you'll be equipped with the practical knowledge and skills needed to use and operate Istio effectively.
Table of Contents (19 chapters)
Part 1: The Fundamentals
Part 2: Istio in Practice
Part 3: Scaling, Extending,and Optimizing

Traffic mirroring

Traffic mirroring is another important feature that allows you to asynchronously copy traffic being sent to an upstream to another upstream service as well, also known as mirrored service. Traffic mirroring is on a fire-and-forget basis, where the sidecar/gateway will not wait for responses from the mirrored upstream.

The following is an illustration of traffic mirroring:

Figure 4.9 – Traffic mirroring

Figure 4.9 – Traffic mirroring

There are very interesting use cases for traffic mirroring, including the following:

  • Traffic mirroring to pre-production systems for testing purposes
  • Traffic mirroring to sink systems where traffic is recorded for out-of-band analysis

In the following example, in the virtual service definition under route configuration, we are mentioning that 100% of traffic should be mirrored to subset: v2:

    - destination: