AWS Lambda
Description
Comprehensive understanding of AWS Lambda including serverless computing concepts, function development, event sources, performance optimization, and integration with other AWS services.
Learning Objectives
Learners will master serverless computing with Lambda including function development and deployment, configuring event sources and triggers, implementing Lambda layers for code reuse, optimizing function performance and costs, handling Lambda concurrency and scaling, implementing error handling and monitoring, and designing event-driven architectures using Lambda.
Topics (9)
Core serverless concepts including event-driven execution, automatic scaling, pay-per-use pricing, and comparing serverless vs traditional architectures.
Creating Lambda functions, understanding supported runtimes, function structure, handler patterns, and deployment packages.
Understanding event-driven architectures, configuring synchronous and asynchronous invocations, and integrating with AWS services as event sources.
Creating and managing Lambda layers, sharing code and libraries, optimizing deployment package sizes, and layer versioning strategies.
Understanding execution environment, optimizing memory and timeout settings, minimizing cold starts, and implementing performance best practices.
Understanding concurrent execution limits, reserved concurrency, provisioned concurrency, and scaling patterns for different event sources.
Configuring execution roles, resource-based policies, environment variable encryption, VPC connectivity, and security best practices.
Setting up CloudWatch monitoring, analyzing Lambda metrics, implementing distributed tracing with X-Ray, and debugging serverless applications.
Implementing common serverless patterns including API backends, data processing pipelines, real-time streaming, and microservices architectures.