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Modern DevOps Practices

You're reading from   Modern DevOps Practices Implement, secure, and manage applications on the public cloud by leveraging cutting-edge tools

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781805121824
Length 568 pages
Edition 2nd Edition
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Author (1):
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Gaurav Agarwal Gaurav Agarwal
Author Profile Icon Gaurav Agarwal
Gaurav Agarwal
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Toc

Table of Contents (24) Chapters Close

Preface 1. Part 1:Modern DevOps Fundamentals
2. Chapter 1: The Modern Way of DevOps FREE CHAPTER 3. Chapter 2: Source Code Management with Git and GitOps 4. Chapter 3: Containerization with Docker 5. Chapter 4: Creating and Managing Container Images 6. Part 2:Container Orchestration and Serverless
7. Chapter 5: Container Orchestration with Kubernetes 8. Chapter 6: Managing Advanced Kubernetes Resources 9. Chapter 7: Containers as a Service (CaaS) and Serverless Computing for Containers 10. Part 3:Managing Config and Infrastructure
11. Chapter 8: Infrastructure as Code (IaC) with Terraform 12. Chapter 9: Configuration Management with Ansible 13. Chapter 10: Immutable Infrastructure with Packer 14. Part 4:Delivering Applications with GitOps
15. Chapter 11: Continuous Integration with GitHub Actions and Jenkins 16. Chapter 12: Continuous Deployment/Delivery with Argo CD 17. Chapter 13: Securing and Testing Your CI/CD Pipeline 18. Part 5:Operating Applications in Production
19. Chapter 14: Understanding Key Performance Indicators (KPIs) for Your Production Service 20. Chapter 15: Implementing Traffic Management, Security, and Observability with Istio 21. Index 22. Other Books You May Enjoy Appendix: The Role of AI in DevOps

Docker monitoring with Prometheus

Monitoring Docker nodes and containers is an essential part of managing Docker. There are various tools available for monitoring Docker. While you can use traditional tools such as Nagios, Prometheus is gaining ground in cloud-native monitoring because of its simplicity and pluggable architecture.

Prometheus is a free, open source monitoring tool that provides a dimensional data model, efficient and straightforward querying using the Prometheus query language (PromQL), efficient time series databases, and modern alerting capabilities.

It has several exporters available for exporting data from various sources and supports both virtual machines and containers. Before we delve into the details, let’s look at some of the challenges with container monitoring.

Challenges with container monitoring

From a conceptual point of view, there is no difference between container monitoring and the traditional method. You still need metrics, logs...

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