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Hands-On Docker for Microservices with Python

You're reading from   Hands-On Docker for Microservices with Python Design, deploy, and operate a complex system with multiple microservices using Docker and Kubernetes

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781838823818
Length 408 pages
Edition 1st Edition
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Introduction to Microservices
2. Making the Move – Design, Plan, and Execute FREE CHAPTER 3. Section 2: Designing and Operating a Single Service – Creating a Docker Container
4. Creating a REST Service with Python 5. Build, Run, and Test Your Service Using Docker 6. Creating a Pipeline and Workflow 7. Section 3:Working with Multiple Services – Operating the System through Kubernetes
8. Using Kubernetes to Coordinate Microservices 9. Local Development with Kubernetes 10. Configuring and Securing the Production System 11. Using GitOps Principles 12. Managing Workflows 13. Section 4: Production-Ready System – Making It Work in Real-Life Environments
14. Monitoring Logs and Metrics 15. Handling Change, Dependencies, and Secrets in the System 16. Collaborating and Communicating across Teams 17. Assessments 18. Other Books You May Enjoy

Being proactive

Metrics show an aggregated point of view for the status of the whole cluster. They allow us to detect trending problems, but it's difficult to find a single spurious error.

Don't underestimate them, though. They are critical for successful monitoring because they tell us whether the system is healthy. In some companies, the most critical metrics are prominently displayed in screens on the wall so that the operations team can see them at all times and quickly react.

Finding the proper balance for metrics in a system is not a straightforward task and will require time and trial and error. There are four metrics for online services that are always important, though. These are as follows:

  • Latency: How many milliseconds the system takes to respond to a request.
Depending on the times, a different time unit, such as seconds or microseconds, can be used. From...
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