AWS Well-Architected design considerations - Workload Discovery on AWS

AWS Well-Architected design considerations

This solution uses the best practices from the AWS Well-Architected Framework which helps customers design and operate reliable, secure, efficient, and cost-effective workloads in the cloud.

This section describes how the design principles and best practices of the Well-Architected Framework benefit this solution.

Operational excellence

We architected this solution using the principles and best practices of the operational excellence pillar to benefit this solution.

  • Resources defined as infrastructure as code using CloudFormation.

  • The solution pushes metrics to Amazon CloudWatch to provide observability into the infrastructure, Lambda functions, Amazon ECS tasks, AWS S3 buckets, and the rest of the solution components.

Security

We architected this solution using principles and best practices of the security pillar to benefit this solution.

  • Amazon Cognito authenticates and authorizes web UI app users.

  • All roles used by the solution follow least-privilege access. In other words, they only contain minimum permissions required so that the service can function properly.

  • Data at rest and transit is encrypted using keys stored in AWS Key Management Service (AWS KMS)--a dedicated key management store.

  • Credentials have a short expiration and follow a strong password policy.

  • AWS AppSync security GraphQL directives give fine-grained control over what operations can be invoked by the frontend and backend.

  • Logging, tracing, and versioning is turned on where applicable.

  • Automatic patching (minor version) and snapshot creation is turned on where applicable.

  • Network access is private by default with Amazon Virtual Private Cloud (Amazon VPC) endpoints being turned on where available.

Reliability

We architected this solution using principles and best practices of the reliability pillar to benefit this solution.

  • The solution uses AWS serverless services wherever possible to ensure high availability and recovery from service failure.

  • All compute processing uses Lambda functions or Amazon ECS on AWS Fargate.

  • All custom code uses the AWS SDK and requests are throttled on the client side to prevent reaching API rate quotas.

Performance efficiency

We architected this solution using principles and best practices of the performance efficiency pillar to benefit this solution.

  • The solution uses AWS serverless architecture where possible. This removes the operational burden of managing physical servers.

  • The solution can launch in any Region that supports AWS services used in this solution such as: AWS Lambda, Amazon Neptune, AWS AppSync, Amazon S3, and Amazon Cognito.

  • In supported Regions, Amazon Neptune serverless allows you to run and instantly scale graph workloads, without the need to manage and optimize database capacity.

  • The solution uses managed services throughout to reduce the operational burden of resource provisioning and management.

Cost optimization

We architected this solution using principles and best practices of the cost optimization pillar to benefit this solution.

  • AWS ECS on AWS Fargate uses Lambda functions exclusively for compute and only charges based on use.

  • Amazon DynamoDB scales capacity on demand, so you only pay for the capacity you use.

Sustainability

We architected this solution using principles and best practices of the sustainability pillar to benefit this solution.

  • The solution uses managed and serverless services where possible to minimize the environmental impact of the backend services.