Lambda Function
What Is Lambda
AWS Lambda is a serverless compute service by AWS. With Lambda, you don’t need to provision, scale, or manage servers. Instead, you focus on writing and deploying your code, and Lambda handles everything else, including the infrastructure, scaling, and availability.
Why Should we use Lambda
Serverless Architecture: You can focus solely on your application logic without worrying about server management.
Scalability: Lambda automatically scales based on the number of requests. Whether it’s a few requests per day or thousands per second, Lambda adjusts seamlessly.
Cost-Efficiency: You only pay for the compute time your code uses. If your function isn’t running, you’re not paying.
Integration: Lambda integrates natively with many AWS services like S3, DynamoDB, API Gateway, and more, making it a versatile choice for various use cases.
How does Lambda Work
Trigger: Lambda functions are event-driven, meaning they execute when triggered by events. Triggers can include an HTTP request via API Gateway, an S3 bucket update, a message in an SQS queue, or even a scheduled event (cron job).
Execution: When triggered, Lambda provisions a container to run your code. The container is lightweight and optimized for performance.
Completion: After the code block completes, the container shuts down. This process ensures the resources are used efficiently.
Monitoring: Lambda integrates with CloudWatch to provide detailed logs, metrics, and insights into execution performance.
Use Cases for Lambda
Building APIs: To create serverless APIs, We can Combine Lambda with API Gateway.
Data Processing: Use Lambda to process data streams in real time with services like Kinesis or DynamoDB Streams.
Event Handling: Automate tasks like resizing images uploaded to S3 or processing messages in a queue.
Orchestration: Work with Step Functions to coordinate complex workflows with multiple Lambda functions.
You Can see More Use Cases for Lambda in Next Pages
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