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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
Tools
Concepts
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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

Exploring the twelve-factor app methodology

Assuming that my memory still serves me well, Heroku (https://www.heroku.com/) became popular somewhere around 2010. It showed us how to leverage Software-as-a-Service principles. It freed developers from thinking too much about underlying infrastructure. It allowed them to concentrate on development and leave the rest to others. All we had to do is push our code to Heroku. It would detect the programming language we use, create a VM and install all the dependencies, build, launch, and so on. The result would be our application running on a server.

Sure, in some cases Heroku would not manage to figure out everything by itself. When that happens, all we'd have to do is create a simple config that would give it a few extra pieces of information. Still very easy and efficient.

Startups loved it (some still do). It allowed them to concentrate on developing new features...

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