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Bootstrapping Service Mesh Implementations with Istio

You're reading from   Bootstrapping Service Mesh Implementations with Istio Build reliable, scalable, and secure microservices on Kubernetes with Service Mesh

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781803246819
Length 418 pages
Edition 1st Edition
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Author (1):
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Anand Rai Anand Rai
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Anand Rai
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Table of Contents (19) Chapters Close

Preface 1. Part 1: The Fundamentals
2. Chapter 1: Introducing Service Meshes FREE CHAPTER 3. Chapter 2: Getting Started with Istio 4. Chapter 3: Understanding Istio Control and Data Planes 5. Part 2: Istio in Practice
6. Chapter 4: Managing Application Traffic 7. Chapter 5: Managing Application Resiliency 8. Chapter 6: Securing Microservices Communication 9. Chapter 7: Service Mesh Observability 10. Part 3: Scaling, Extending,and Optimizing
11. Chapter 8: Scaling Istio to Multi-Cluster Deployments Across Kubernetes 12. Chapter 9: Extending Istio Data Plane 13. Chapter 10: Deploying Istio Service Mesh for Non-Kubernetes Workloads 14. Chapter 11: Troubleshooting and Operating Istio 15. Chapter 12: Summarizing What We Have Learned and the Next Steps 16. Index 17. Other Books You May Enjoy Appendix – Other Service Mesh Technologies

Summary

In this chapter, we read about how Istio makes systems observable by generating various telemetry data. Istio provides various metrics that can then be used by Istio operators to fine-tune and optimize a system. This is all achieved by Envoy, which generates various metrics that are then scraped by Prometheus.

Istio allows you to configure new metrics as well as add new dimensions to existing metrics. You learned how to use Prometheus to query various metrics using PromQL and build queries that can provide insight into your system, as well as business operations. We later installed Grafana to visualize the metrics collected by Prometheus, even though there are a number of out-of-the-box dashboards provided for Istio, and you can easily add new dashboards, configure alerts, and create policies on how these alerts should be distributed.

Finally, we installed Jaeger to perform distributed tracing to understand how a request is processed in a distributed system, and we did...

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