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Containers for Developers Handbook

You're reading from   Containers for Developers Handbook A practical guide to developing and delivering applications using software containers

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781805127987
Length 490 pages
Edition 1st Edition
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Author (1):
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Francisco Javier Ramírez Urea Francisco Javier Ramírez Urea
Author Profile Icon Francisco Javier Ramírez Urea
Francisco Javier Ramírez Urea
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1:Key Concepts of Containers
2. Chapter 1: Modern Infrastructure and Applications with Docker FREE CHAPTER 3. Chapter 2: Building Docker Images 4. Chapter 3: Sharing Docker Images 5. Chapter 4: Running Docker Containers 6. Chapter 5: Creating Multi-Container Applications 7. Part 2:Container Orchestration
8. Chapter 6: Fundamentals of Container Orchestration 9. Chapter 7: Orchestrating with Swarm 10. Chapter 8: Deploying Applications with the Kubernetes Orchestrator 11. Part 3:Application Deployment
12. Chapter 9: Implementing Architecture Patterns 13. Chapter 10: Leveraging Application Data Management in Kubernetes 14. Chapter 11: Publishing Applications 15. Chapter 12: Gaining Application Insights 16. Part 4:Improving Applications’ Development Workflow
17. Chapter 13: Managing the Application Life Cycle 18. Index 19. Other Books You May Enjoy

Monitoring your application’s metrics

Analyzing your application’s metrics is key to understanding how you are serving your users or other applications. In this section, we will learn how to monitor our applications using Prometheus, a monitoring solution that fits very well in the Kubernetes ecosystem.

Prometheus is an open source monitoring solution that’s been hosted by the Cloud Native Computing Foundation (CNCF) since 2016. It is used to collect, store, and represent metrics and alert users using thresholds. It can be integrated into any infrastructure, although it is known to work great with Kubernetes. It comes included within some Kubernetes platform deployments and that’s why it is considered standard within the Kubernetes community.

Prometheus includes a data model that is easy to query, using its own Prometheus query language (PromQL), which stores metrics recorded over time from different sources identified by key-value pairs. By default...

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