AWS Serverless Microservices with Patterns and Best Practices - How Does AWS Lambda Work?

AWS Lambda is a serverless computing service that runs code in response to events. Each Lambda function operates in its own container, similar to a standalone Docker container. AWS manages the infrastructure, allowing developers to focus on code rather than server management. Resource allocation, such as RAM and CPU, is configurable, and costs are calculated based on memory and execution time. This fully managed service saves time on operational tasks, enabling developers to concentrate on application code and business logic.

What is the primary role of AWS Lambda in event-driven architectures?

• To trigger events based on user input

• To store large amounts of data

• To execute function code in response to events

• To manage network configurations

How does AWS Lambda execute each function?

• In a standalone Docker container

• Directly on the user's machine

• In a shared server environment

• Through a virtual machine

What factors determine the cost of using AWS Lambda?

• Size of the function code

• Amount of allocated memory and execution time

• Number of events triggered

• Number of functions created

What is a key advantage of AWS Lambda's managed infrastructure?

• It allows for direct hardware access

• It reduces the need for operational tasks

• It provides unlimited storage

• It eliminates the need for network security

How does AWS Lambda help developers focus more on their application code?

• By automating code deployment

• By offering free cloud storage

• By handling the underlying infrastructure

• By providing detailed system logs