Book Image

Amazon Fargate Quick Start Guide

By : Deepak Vohra
Book Image

Amazon Fargate Quick Start Guide

By: Deepak Vohra

Overview of this book

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.
Table of Contents (14 chapters)
Title Page
Copyright and Credits
Packt Upsell

Types of auto scaling

Two kinds of auto scaling policies are defined:

  • Target tracking scaling policies
  • Step scaling policies

We shall discuss these two kinds of auto scaling policy next, before demonstrating the use of auto scaling.

Target tracking scaling policies

The target being referred to is a target value for a specific metric that CloudWatch metrics monitor. The two ECS metrics CloudWatch monitors are CPU utilization and memory utilization. With target tracking scaling policies, the number of tasks is increased or decreased with the objective that the target value of a metric is kept. It may not be feasible to keep the precise target value of a metric because the number of tasks are increased/decreased in increments/decrements of 1. The metric is kept at the precise configured target value or close to the target value. A target tracking scaling policy itself adjusts itself to the fluctuations in a metric value to avoid rapid fluctuations in the number of tasks. For high application availability...