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The DevOps 2.1 Toolkit: Docker Swarm

You're reading from   The DevOps 2.1 Toolkit: Docker Swarm The next level of building reliable and scalable software unleashed

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Product type Paperback
Published in May 2017
Publisher
ISBN-13 9781787289703
Length 436 pages
Edition 1st Edition
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Author (1):
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Viktor Farcic Viktor Farcic
Author Profile Icon Viktor Farcic
Viktor Farcic
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Table of Contents (17) Chapters Close

Preface 1. Continuous Integration with Docker Containers FREE CHAPTER 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

Adjusting services through dashboard metrics

Our services are not static. Swarm will reschedule them with each release, when a replica fails, when a node becomes unhealthy, or as a result of a myriad of other causes. We should do our best to provide Swarm as much information as we can. The better we describe our desired service state, the better will Swarm do its job.

We won't go into all the information we can provide through docker service create and docker service update commands. Instead, we'll concentrate on the --reserve-memory argument. Later on, you can apply similar logic to --reserve-cpu, --limit-cpu, --limit-memory, and other arguments.

We'll observe the memory metrics in Grafana and update our services accordingly.

Please click on the Memory Usage per Container (Stacked) graph in Grafana and choose View. You'll see a screen with a zoomed graph that displays the memory consumption...

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