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Learn Docker - Fundamentals of Docker 18.x

You're reading from   Learn Docker - Fundamentals of Docker 18.x Everything you need to know about containerizing your applications and running them in production

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788997027
Length 398 pages
Edition 1st Edition
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Author (1):
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Dr. Gabriel N. Schenker Dr. Gabriel N. Schenker
Author Profile Icon Dr. Gabriel N. Schenker
Dr. Gabriel N. Schenker
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Table of Contents (17) Chapters Close

Preface 1. What Are Containers and Why Should I Use Them? FREE CHAPTER 2. Setting up a Working Environment 3. Working with Containers 4. Creating and Managing Container Images 5. Data Volumes and System Management 6. Distributed Application Architecture 7. Single-Host Networking 8. Docker Compose 9. Orchestrators 10. Introduction to Docker Swarm 11. Zero Downtime Deployments and Secrets 12. Introduction to Kubernetes 13. Deploying, Updating, and Securing an Application with Kubernetes 14. Running a Containerized App in the Cloud 15. Assessment 16. Other Books You May Enjoy

Scaling a service


Now, let's, for a moment, assume that our sample application has been live on the web and become very successful. Loads of people want to see our cute animal images. So now we're facing a problem since our application has started to slow down. To counteract this problem, we want to run multiple instances of the web service. With Docker Compose, this is readily done.

Running more instances is also called scaling up. We can use this tool to scale our web service up to, say, three instances:

$ docker-compose up --scale web=3

If we do this, we are in for a surprise. The output will look similar to the following screenshot:

Output of docker-compose --scale

The second and third instances of the web service fail to start. The error message tells us why: we cannot use the same host port more than once. When instances 2 and 3 try to start, Docker realizes that port 3000 is already taken by the first instance. What can we do? Well, we can just let Docker decide which host port to use...

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