AWS-Fargate

• Fargate is a serverless compute engine for containers that works with both ECS and EKS.

• With Fargate, there is no provisioning, patching, cluster capacity management, or any infrastructure management required.

• Fargate supports all of the common container use cases, for instance: microservices architecture applications, batch processing, machine learning applications, and migrating on premise applications to the cloud.

• With AWS Fargate, users pay only for the amount of vCPU and memory resources that they request for their containerized applications requests.

• Fargate supports Spot and Compute Savings Plan pricing options just like with EC2 instances.

• Fargate meets the standards for PCI DSS Level 1, ISO 9001, ISO 27001, ISO 27017, ISO 27018, SOC 1, SOC 2, SOC 3, and HIPAA eligibility.

• Fargate allows users to gather metrics and logs for monitoring their applications through an extensive selection of third party tools with open interfaces.

• Fargate tasks have the ability to securely grab secrets from the secrets manager to ensure that they never are exposed - even in private configuration files.

• Observability with Fargate exists with three key functions: monitoring, logging, and tracing.

• ECS tasks on Fargate do not support all of the task definition parameters that are available.

• ECS task definitions for Fargate require that the network mode is set to awsvpc.

• ECS task definitions for Fargate require that users specify CPU and memory at the task level.

• ECS task definitions for Fargate support the ulimits parameter to define the resource limits to set for a container.

• ECS task definitions for Fargate support the awslogs, splunk, firelens and fluentd log drivers for the log configuration.

• ECS on Fargate tasks using platform version 1.4.0 or later, each task receives 20 GB of ephemeral storage.

• ECS service on Fargate can optionally be configured to use Elastic Load Balancing to distribute traffic evenly across the tasks in service.

• ECS tasks for Fargate can authenticate with private image registries, including Docker Hub, using basic authentication.

• With Fargate Spot users can run interruption tolerant ECS tasks at a discounted rate compared to the Fargate price.

• A Fargate task is scheduled to be retired when AWS detects the irreparable failure of the underlying hardware hosting the task or if a security issue needs to be patched.

• The Fargate profile allows an administrator to declare which pods run on Fargate.

• It works with services like SageMaker and AWS CodePipeline to enable organizations to implement containerized ML applications, removing the need to provision and manage infrastructure.

• Developing CI/CD pipelines on AWS can be done using the AWS Fargate ECS launch type, effectively bringing about an additional set of automation by removing the need to manage the application's infrastructure.

• With CLI, users can create their own cluster with a unique name with the following command: aws ecs create-cluster --cluster-name fargate-cluster

• With CLI, delete a cluster using: ecs delete-cluster --cluster fargate-cluster

• With CLI, delete a service using: aws ecs delete-service --cluster fargate-cluster --service fargate-service --force