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)
1
Part 1: The Fundamentals
5
Part 2: Istio in Practice
10
Part 3: Scaling, Extending,and Optimizing

Understanding observability

The concept of observability was originally introduced as part of control theory, which deals with the control of self-regulated dynamic systems. Control theory is an abstract concept and has interdisciplinary applications; it basically provides a model governing the application of system inputs to drive a system to a desired state while maximizing its stability and performance.

Figure 7.1 – Observability in control theory

Figure 7.1 – Observability in control theory

The observability of a system is a measure of how well we can understand the internal state of that system, based on the signals and observation of its external outputs. It is then used by controllers to apply compensating control to the system to drive it to the desired state. A system is considered observable if it emits signals, which the controller can use to determine the system’s status.

In the world of IT, systems are software systems, and controllers are operators who are other software...