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Mastering Service Mesh

You're reading from   Mastering Service Mesh Enhance, secure, and observe cloud-native applications with Istio, Linkerd, and Consul

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781789615791
Length 626 pages
Edition 1st Edition
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Authors (2):
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Vikram Khatri Vikram Khatri
Author Profile Icon Vikram Khatri
Vikram Khatri
Anjali Khatri Anjali Khatri
Author Profile Icon Anjali Khatri
Anjali Khatri
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Toc

Table of Contents (31) Chapters Close

Preface 1. Section 1: Cloud-Native Application Management
2. Monolithic Versus Microservices FREE CHAPTER 3. Cloud-Native Applications 4. Section 2: Architecture
5. Service Mesh Architecture 6. Service Mesh Providers 7. Service Mesh Interface and SPIFFE 8. Section 3: Building a Kubernetes Environment
9. Building Your Own Kubernetes Environment 10. Section 4: Learning about Istio through Examples
11. Understanding the Istio Service Mesh 12. Installing a Demo Application 13. Installing Istio 14. Exploring Istio Traffic Management Capabilities 15. Exploring Istio Security Features 16. Enabling Istio Policy Controls 17. Exploring Istio Telemetry Features 18. Section 5: Learning about Linkerd through Examples
19. Understanding the Linkerd Service Mesh 20. Installing Linkerd 21. Exploring the Reliability Features of Linkerd 22. Exploring the Security Features of Linkerd 23. Exploring the Observability Features of Linkerd 24. Section 6: Learning about Consul through Examples
25. Understanding the Consul Service Mesh 26. Installing Consul 27. Exploring the Service Discovery Features of Consul 28. Exploring Traffic Management in Consul 29. Assessment 30. Other Books You May Enjoy

Fault injection

Fault injection is a method that's used to test the application without having to wait for an actual fault to occur. It is very likely that latency or faults will occur in a distributed environment. It is difficult to envision the effects of actual faults/latency while an application is being developed. Most of the time, it is the reaction of faults/latencies that triggers application code changes, which means new releases of the application have to be made.

While developing enterprise applications, typically, we separate small teams and make them develop microservices independent of each other. It is likely that different teams may introduce timeouts in their code, which may introduce an anomaly. For example, let's say we introduce a 7-second delay that will not affect the reviews service due to there being a 10-second hardcoded timeout between the...

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