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DevOps with Kubernetes

You're reading from   DevOps with Kubernetes Accelerating software delivery with container orchestrators

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789533996
Length 484 pages
Edition 2nd Edition
Languages
Concepts
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Authors (3):
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Hideto Saito Hideto Saito
Author Profile Icon Hideto Saito
Hideto Saito
Cheng-Yang Wu Cheng-Yang Wu
Author Profile Icon Cheng-Yang Wu
Cheng-Yang Wu
Hui-Chuan Chloe Lee Hui-Chuan Chloe Lee
Author Profile Icon Hui-Chuan Chloe Lee
Hui-Chuan Chloe Lee
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to DevOps 2. DevOps with Containers FREE CHAPTER 3. Getting Started with Kubernetes 4. Managing Stateful Workloads 5. Cluster Administration and Extension 6. Kubernetes Network 7. Monitoring and Logging 8. Resource Management and Scaling 9. Continuous Delivery 10. Kubernetes on AWS 11. Kubernetes on GCP 12. Kubernetes on Azure 13. Other Books You May Enjoy

Incorporating data from Istio

In a service mesh, the gateway between every service is the front proxy. For this reason, the front proxy is, unsurprisingly, a rich information source for things running inside the mesh. However, if our tech stack already has similar components, such as load balancers or reverse proxies for internal services, then what's the difference between collecting traffic data from them and the service mesh proxy? Let's consider the classical setup:

SVC-A and SVC-B make requests to SVC-C. The data gathered from the load balancer for SVC-C represents the quality of SVC-C. However, as we don't have any visibility over the path from the clients to SVC-C, the only way to measure the quality between SVC-A or SVC-B and SVC-C is either by relying on a mechanism built on the client side, or by putting probes in the network that the clients are in....

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