Knowledge of:
- API creation and management (for example, Amazon API Gateway, REST API)
- AWS managed services with appropriate use cases (for example, AWS Transfer Family, Amazon Simple Queue Service [Amazon SQS], Secrets Manager)
- Caching strategies
- Design principles for microservices (for example, stateless workloads compared with stateful workloads)
- Event-driven architectures
- Horizontal scaling and vertical scaling
- How to appropriately use edge accelerators (for example, content delivery network [CDN])
- How to migrate applications intocontainers
- Load balancing concepts (for example, Application Load Balancer)
- Multi-tier architectures
- Queuing and messaging concepts (for example, publish/subscribe)
- Serverless technologies and patterns (for example, AWS Fargate, AWS Lambda)
- Storage types with associated characteristics (for example, object, file, block)
- The orchestration of containers (for example, Amazon Elastic Container Service [Amazon ECS], Amazon Elastic Kubernetes Service [Amazon EKS])
- When to use read replicas
- Workflow orchestration (for example, AWS Step Functions)
Skills in:
- Designing event-driven, microservice, and/or multi-tier architectures based on requirements
- Determining scaling strategies for components used in an architecture design
- Determining the AWS services required to achieve loose coupling based on requirements
- Determining when to use containers
- Determining when to use serverless technologies and patterns
- Recommending appropriate compute, storage, networking, and database technologies based on requirements
- Using purpose-built AWS services forworkloads
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