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The DevOps 2.1 Toolkit: Docker Swarm

You're reading from  The DevOps 2.1 Toolkit: Docker Swarm

Product type Book
Published in May 2017
Publisher
ISBN-13 9781787289703
Pages 436 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Viktor Farcic Viktor Farcic
Profile icon Viktor Farcic

Table of Contents (22) Chapters

Title Page
Credits
About the Author
www.PacktPub.com
Customer Feedback
Preface
1. Continuous Integration with Docker Containers 2. Setting Up and Operating a Swarm Cluster 3. Docker Swarm Networking and Reverse Proxy 4. Service Discovery inside a Swarm Cluster 5. Continuous Delivery and Deployment with Docker Containers 6. Automating Continuous Deployment Flow with Jenkins 7. Exploring Docker Remote API 8. Using Docker Stack and Compose YAML Files to Deploy Swarm Services 9. Defining Logging Strategy 10. Collecting Metrics and Monitoring the Cluster 11. Embracing Destruction: Pets versus Cattle 12. Creating and Managing a Docker Swarm Cluster in Amazon Web Services 13. Creating and Managing a Docker Swarm Cluster in DigitalOcean 14. Creating and Managing Stateful Services in a Swarm Cluster 15. Managing Secrets in Docker Swarm Clusters 16. Monitor Your GitHub Repos with Docker and Prometheus

Chapter 9. Defining Logging Strategy

Most software today is very much like an Egyptian pyramid with millions of bricks piled on top of each other, with no structural integrity, but just done by brute force and thousands of slaves.                                                                                                                              –Alan Kay

We've reached the point where we have a fully operating Swarm cluster and a defined Continuous Deployment Pipeline that'll update our services on each commit. Now we can spend time coding and pushing commits to our repository knowing that the rest of the process is automated. We can, finally, spend our time on tasks that bring real value to the organization we're working for. We can dedicate our time to producing new features for the services we're working on. However, when something goes wrong, we need to stop churning new features and investigate the problem.

The first thing we tend to do when we detect an issue is to check logs...

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