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

Metric scraping using Prometheus

Prometheus is open source system monitoring software, which stores all metric information along with the timestamps of when they were recorded. What differentiates Prometheus from other monitoring software is its powerful multidimensional data model and a powerful query language called PromQL. It works by collecting data from various targets and then analyzing and crunching it to produce metrics. Systems can also implement HTTP endpoints that provide metrics data; these endpoints are then called by Prometheus to collect metrics data from the applications. The process of gathering metrics data from various HTTP endpoints is also called scraping.

As illustrated in the following figure, the Istio control plane and data plane components expose endpoints that emit metrics, and Prometheus is configured to scrape these endpoints to collect metrics data and store it in a time series database:

Figure 7.2 – Metric scraping using Prometheus

Figure 7.2 – Metric scraping...