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Amazon Fargate Quick Start Guide
Amazon Fargate Quick Start Guide

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

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Amazon Fargate Quick Start Guide

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?

What Amazon Fargate is

Amazon Fargate is a new launch type for Amazon ECS and Amazon EKS (Elastic Kubernetes Service)-managed orchestration services for Docker containers on AWS. With the Fargate launch type, the infrastructure is fully provisioned by Fargate. It is serverless, and no EC2 instances are exposed to the user. Docker containers are defined as container definitions within a task definition. A service implements the task definition to run one or more tasks. Each task is associated with an ENI. If the auto-assignment of the public IP at the task level is enabled, a public IP on which an external client may access a task is automatically assigned to a task. Tasks communicate with each other over a private IP.

Benefits of Fargate

The benefits in ECS are as follows:

  • A managed service for containerized applications that does not require much user input to run Docker applications
  •  Microservices consisting of multiple applications run in isolated containers
  •  Auto scales tasks based on application load
  •  Integrates with other AWS services including IAM, CloudWatch Logs, Elastic Load Balancing, CloudFormation templates, EBS Volumes, Batch, ECR, and CloudTrail logs
  •  A virtual private cloud (VPC) with no resources shared with other users
  •  Provides support for running a CodePipeline with ECS as the deployment platform
  • Supports the latest Docker version 17.0

Fargate provides the following additional benefits:

  • With a Fargate launch type, a user does not create or manage any EC2 instances, as none are exposed on the cluster.
  • Tasks are directly exposed to the user via an ENI.
  • The underlying infrastructure is provisioned by Fargate. EC2 instances are not to be managed with the Fargate launch type.
  • CodePipeline supports Fargate as a deployment platform.
  • Microservices based on Container definitions encapsulated in a task definition are explicitly linked, and are not to be linked with any additional options, such as links.
  • CloudWatch Logs may be auto configured.

 Amazon ECS objects

Amazon ECS objects with Fargate are the same as for the EC2 launch type. An ECS cluster is the outermost encapsulation, and it consists of one or more services. A cluster could be distributed over multiple availability zones. A service is an implementation of a task definition, and runs one or more tasks. A task definition could have one or more task revisions. A task revision is a distinct task definition with a set of tasks and a service associated with it. One Fargate instance is associated with a set of tasks in a service. A task definition consists of zero or more container definitions. Typically, a task definition would be associated with one or more container definitions, and a task definition that does not consist of any container definition would not run any task containers. A diagram of ECS objects is shown as follows:

A Task definition is an application template and describes one or more containers. While some attributes or settings are configured at the task level, most of them are configured at the container level. Multiple revisions may be associated with a task definition.

A Service implements a task definition, and defines a desired count for tasks to run for a task definition. Optional features such as auto scaling and load balancing are configured in the service.

A Cluster in an ECS service is a grouping of one or more container services. A cluster name must be unique within an account. A cluster called default is provisioned by default.

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

What is new in the Amazon Fargate launch type mode?

In addition to and concomitant with the Fargate benefits discussed earlier, Fargate supports the following new features:

  •  Networking mode, awsvpc, is the only supported mode
  •  Host port mappings are not valid with the Fargate launch type networking mode (awsvpc), and host ports on which an application is exposed are the same as the container ports
  • ecsTaskExecutionRole is added for the Fargate launch type to allow for pulling Docker images and sending logs to CloudWatch Logs
  • Only the awslogs log configuration and awslogs log driver are supported with CloudWatch Logs
  • Task placement is not supported, as no ECS instances are provisioned to define placement constraints for
  • Only Docker images on Docker Hub and Amazon ECR are supported
  • Privileged Windows containers are not supported for the Fargate launch type
  • Host devices cannot be exposed to a container
  •  The host and sourcePath parameters for volumes are not supported with the Fargate launch type

Summary

In this introductory chapter, we discussed the benefits of using the Fargate launch type, how compute resources are distributed and configured with the Fargate launch type, how the ECS objects with Fargate are the same as for the EC2 launch type, and the new features in Fargate. In the next chapter, we shall discuss networking as used with Fargate.

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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.

Who is this book for?

This book is for Docker users and developers who want to learn about the Fargate platform. Typical job roles for which the book is suitable are DevOps Architect, Docker Engineer, and AWS Cloud Engineer. Prior knowledge of AWS and ECS is helpful but not mandatory.

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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Length: 190 pages
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Table of Contents

8 Chapters
Getting Started with Amazon ECS and Amazon Fargate Chevron down icon Chevron up icon
Networking Chevron down icon Chevron up icon
Using CloudWatch Logs Chevron down icon Chevron up icon
Using Auto Scaling Chevron down icon Chevron up icon
Using IAM Chevron down icon Chevron up icon
Using an Application Load Balancer Chevron down icon Chevron up icon
Using Amazon ECS CLI Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

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Deepak Vohra Mar 16, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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.
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Carlo Franco Oct 29, 2018
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Excelente artículo
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Amazon Customer Sep 07, 2022
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If you are new to Fargate this is the book to refer to for quick and easy learning
Amazon Verified review Amazon
Keith W. Boone Nov 02, 2022
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
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.
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Steve D Apr 14, 2021
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I really don't want to go to the trouble of returning this.
Amazon Verified review Amazon
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