Covers developing code for applications hosted on AWS, developing code for AWS Lambda, and using data stores in application development. Includes architectural patterns, fault-tolerant design, serverless development, and data persistence strategies.

• Develop code for applications hosted on AWS

  Developing fault-tolerant and resilient applications using AWS services, creating and maintaining APIs, writing unit tests, using messaging services, and handling data streaming.

• Develop code for AWS Lambda

  Configuring and optimizing Lambda functions, handling event lifecycles and errors, integrating Lambda with AWS services, and accessing private VPC resources from Lambda.

• Use data stores in application development

  Working with relational and non-relational databases, implementing CRUD operations, managing data lifecycles, applying caching strategies, and using Amazon S3 and DynamoDB effectively.

Covers implementing authentication and authorization for applications and AWS services, implementing encryption using AWS services, and managing sensitive data in application code.

• Implement authentication and/or authorization for applications and AWS services

  Implementing identity federation, bearer tokens, Amazon Cognito user and identity pools, resource-based and principal policies, RBAC, ACLs, and the principle of least privilege.

• Implement encryption by using AWS services

  Implementing encryption at rest and in transit, managing certificates, key protection and rotation, and understanding client-side vs server-side encryption and AWS KMS key types.

• Manage sensitive data in application code

  Classifying data, managing environment variables, using secrets management services, and handling sensitive credentials securely in application code.

Covers preparing application artifacts for deployment, testing applications in development environments, automating deployment testing, and deploying code using AWS CI/CD services.

• Prepare application artifacts to be deployed to AWS

  Managing application configuration data, Lambda deployment packaging and layers, version control with Git, and working with container images for deployment.

• Test applications in development environments

  Testing deployed code using AWS services, performing mock integration for APIs, testing with development endpoints, and deploying application stack updates to existing environments.

• Automate deployment testing

  Automating deployment testing using API Gateway stages, CI/CD workflows, automated software testing, and infrastructure as code templates.

• Deploy code by using AWS CI/CD services

  Using AWS CI/CD services to deploy applications including CodePipeline, CodeBuild, CodeDeploy, and related tools, implementing deployment strategies, and managing application rollbacks.

Covers assisting in root cause analysis, instrumenting code for observability, and optimizing applications using AWS services and features including logging, monitoring, tracing, caching, and concurrency.

• Assist in a root cause analysis

  Using logging, monitoring, and tracing tools to identify and resolve application issues, including CloudWatch Logs Insights, AWS X-Ray, and code analysis tools.

• Instrument code for observability

  Implementing effective logging strategies, emitting custom metrics, adding tracing annotations, and implementing notification alerts for application observability.

• Optimize applications by using AWS services and features

  Optimizing application performance through caching, concurrency management, and messaging service optimization using AWS services.