The company wants to deploy its containerized application workloads to a VPC across three Availability Zones, with high availability and minimal changes to the application. The solution that will meet these requirements with the least operational overhead is:
Use Amazon Elastic Container Service (Amazon ECS). Amazon ECS is a fully managed container orchestration service that allows you to run and scale containerized applications on AWS. Amazon ECS eliminates the need for you to install, operate, and scale your own cluster management infrastructure. Amazon ECS also integrates with other AWS services, such as VPC, ELB, CloudFormation, CloudWatch, IAM, and more.
Configure Amazon ECS Service Auto Scaling to use target tracking scaling. Amazon ECS Service Auto Scaling allows you to automatically adjust the number of tasks in your service based on the demand or custom metrics. Target tracking scaling is a policy type that adjusts the number of tasks in your service to keep a specified metric at a target value. For example, you can use target tracking scaling to maintain a target CPU utilization or request count per task for your service.
Set the minimum capacity to 3. This ensures that your service always has at least three tasks running across three Availability Zones, providing high availability and fault tolerance for your application.
Set the task placement strategy type to spread with an Availability Zone attribute. This ensures that your tasks are evenly distributed across the Availability Zones in your cluster, maximizing the availability of your service.
This solution will provide high availability across Availability Zones, require minimal changes to the application, and reduce the operational overhead of managing your own cluster infrastructure.
[References:, Amazon Elastic Container Service, AmazonECS Service Auto Scaling, Target Tracking Scaling Policies for Amazon ECS Services, Amazon ECS Task Placement Strategies, , , ]
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