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Getting Started with Amazon ECS and Amazon Fargate

Docker can be installed on the most commonly used OS platforms. CoreOS has Docker pre-installed, and is designed specifically for running Docker containers. Docker for AWS provides an out-of-the-box Docker swarm mode in which a cluster of nodes, called a swarm, provides a distributed platform for running Docker container applications.

Problem: All the aforementioned Docker platforms are only different types of Docker installations, and require Docker containers to run and be managed on the command line.

Solution: Amazon ECS (Elastic Container Service) is a managed service for Docker containers with built-in support for scaling, load balancing, networking, storage, logging, and other Docker container management tasks. Amazon ECS supports two launch types: EC2 and Fargate.

With the EC2 launch type, EC2 instances are started to run Docker containers. The Fargate launch type, which was introduced recently (November 2017), hosts tasks that encapsulate Docker containers. The tasks are directly made accessible to the user via an Elastic Network Interface (ENI). The EC2 instances on which Fargate is provisioned are not exposed to the user and are not directly accessible.

In this chapter, we will learn about the following:

What Amazon Fargate is
Benefits of Fargate
Amazon ECS objects
Compute resources in Amazon ECS Fargate
What's new in the Amazon Fargate launch type mode?

Compute resources in Amazon ECS Fargate

Task size consists of Task memory (GB) and Task CPU (vCPU). While optional in the EC2 launch type, task size is required with the Fargate launch type. Docker container level memory and CPU settings may optionally be defined, but are overridden by task definition level settings. Only specific combinations of task memory and task CPU are supported, and the ECS wizard indicates with a message the supported value (or range of values) for a selected value. As an example, the valid CPU range for 1 GB memory is 0.25 vCPU to 0.5 vCPU. The total resources (memory or CPU) configured at the container level must not exceed the task level resource settings. As an example, if a task definition consists of two containers (MySQL and WordPress) with a memory limit of 128 MB for each container, the task level memory must be at least 256 MB. Also, the total of container level memory must not exceed 256 MB. Similarly for the CPU. Two memory limits may be defined at the container level: Soft limit and Hard limit. The Soft limit corresponds to the memoryReservation attribute at the task level, and the Hard limit corresponds to the memory attribute at the task level. The sum of container memory reservations (Soft limits) must not exceed the task memory. The Hard limit for each container must not exceed the memory configured at the task level. A minimum of 4 GB must be specified by default for a container.

An example task size is shown in the following screenshot, in which the Task memory (memory attribute) is set to 0.5 GB (512 GB), and the Task CPU is set to 0.25 vCPU. At the container level, as configured in the two container definitions, the memory reservation is 128 MB for each container, which makes the total memory reservation of 256 MB well within the 512 GB allocated at the task level. The task size is allocated to a task, whether used or not. Similarly, the number of CPU Units configured for each container is 10, which makes the total CPU units 20 for containers within the CPU units, 25 are allocated at the task level. Refer to the following screenshot:

Task size configuration and allocation for containers

Key benefits

Gives you a quick walk-through over the Amazon Elastic Container Services (ECS)

Provides an in depth knowledge of the components that Amazon Fargate has to offer.

Learn the practical aspects of Docker application development with a managed service

Description

Amazon Fargate is new launch type for the Amazon Elastic Container Service (ECS). ECS is an AWS service for Docker container orchestration. Docker is the de facto containerization framework and has revolutionized packaging and deployment of software. The introduction of Fargate has made the ECS platform serverless. The book takes you through how Amazon Fargate runs ECS services composed of tasks and Docker containers and exposes the containers to the user. Fargate has simplified the ECS platform. We will learn how Fargate creates an Elastic Network Interface (ENI) for each task and how auto scaling can be enabled for ECS tasks. You will also learn about using an IAM policy to download Docker images and send logs to CloudWatch. Finally, by the end of this book, you will have learned about how to use ECS CLI to create an ECS cluster and deploy tasks with Docker Compose.

What you will learn

Running Docker containers with a managed service

Use Amazon ECS in Fargate launch mode

Configure CloudWatch Logging with Fargate

Use an IAM Role with Fargate

Understand how ECS CLI is used with Fargate

Learn how to use an Application Load Balancer with Fargate

Learn about Auto Scaling with Fargate

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Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

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Keith W. Boone Nov 02, 2022

I learned a few things from this book that just aren’t as accessible in the AWS documentation, but it’s not much more useful than that, and definately not woth the $18-ish dollar price tag.

Amazon Verified review

Amazon Customer Sep 07, 2022

If you are new to Fargate this is the book to refer to for quick and easy learning

Steve D Apr 14, 2021

I really don't want to go to the trouble of returning this.

Deepak Vohra Mar 16, 2020

Additional tasks could be used to serve additional requests or request load. Load balancer balances the load across the tasks.On retesting found that latest ECS version indeed has some new features that were not available at the time the book was published. A new capacity provider strategy has been added. To use the example in the book don't select the capacity provider strategy. Instead select the Launch Type Strategy. Select Launch Type as Fargate. As an example, to add two new tasks set Number of Tasks as 2.Auto Assign may be set to ENABLED only if Launch Type is selected as FARGATE. Please retest as suggested and Auto Assign should be set to ENABLED as shown in screenshot in the book.

jonathan held Mar 10, 2020

The author does a very bad job of explaining what you are doing and why. For example, it would be super helpful if you knew why you were going to run another task (a clone of the first one in Chapter 2). Don't just walk the audience through the screenshots (which are likely going to change) without any explanation. I also found that running a second task did not allow me to change auto-assign ip to ENABLED, as the author claims it does. This speaks to my second point - before you publish something, make sure it works. And if it doesn't, make sure you have somewhere the audience can go to check for errata (packtpub.com lists nothing). Instead, I have the author telling me what I can already see and is intuitively obvious. I don't need you to list the columns. This book needs a ton of work. Explain to your audience what the goal of a section is, walk them through to achieve that goal and explain to them why they are doing the things they are doing. The "polygot" reviewer did a really poor job reviewing this book for accuracy.

Amazon Fargate Quick Start Guide: Learn how to use AWS Fargate to run containers with ease

What do you get with Print?

Amazon Fargate Quick Start Guide

Getting Started with Amazon ECS and Amazon Fargate

What Amazon Fargate is

Benefits of Fargate

Amazon ECS objects

Compute resources in Amazon ECS Fargate

What is new in the Amazon Fargate launch type mode?

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Amazon Fargate Quick Start Guide: Learn how to use AWS Fargate to run containers with ease

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