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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 FREE CHAPTER
2. Making the Move – Design, Plan, and Execute 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

Summary

In this chapter, we learned how to work with logs and metrics, as well as how to set up logs and send them to a centralized container using the syslog protocol. We described how to add logs to different applications, how to include a request ID, and how to raise custom logs from the different microservices. Then, we learned how to define a strategy to ensure that the logs are useful in production.

We also described how to set up standard and custom Prometheus metrics in all the microservices. We started a Prometheus server and configured it so that it collects metrics from our services. We started a Grafana service so that we can plot the metrics and created dashboards so that we can display the status of the cluster and the different services that are running.

Then, we introduced you to the alert system in Prometheus and how it can be used so that it notifies us of problems...

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