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aws lambda: a deep dive into serverless computing

aws lambda is a serverless compute service that lets you run code without provisioning or managing servers. it executes your code only when needed and scales automatically, from a few requests per day to thousands per second. this eliminates the operational overhead of managing infrastructure and allows you to focus solely on your application logic.

this tutorial provides a comprehensive understanding of aws lambda, covering its architecture, key concepts, supported languages, deployment strategies, integration with other aws services, and best practices. we'll also include code examples in python to illustrate the core principles.

*1. understanding the core concepts:*

*functions:* the heart of lambda. a lambda function is the container for your code and the unit of deployment. it encapsulates the logic you want to execute in response to events.
*events:* triggers that invoke your lambda function. events can come from various sources, including:
*api gateway:* expose your lambda function as an http endpoint.
*s3:* trigger your function when objects are uploaded, deleted, or modified in an s3 bucket.
*dynamodb:* trigger your function when items are created, updated, or deleted in a dynamodb table.
*sns:* trigger your function when a message is published to an sns topic.
*sqs:* trigger your function when a message is available in an sqs queue.
*cloudwatch events (eventbridge):* schedule your function to run at specific times or in response to other events within aws.
*alexa:* trigger your function using voice commands through alexa skills.
*cloudfront:* customize the content delivered by cloudfront edge locations using lambda@edge.
*iot:* trigger your function by events sent from iot devices.
*kinesis:* trigger your function based on data streams in kinesis.
*cloudformation:* trigger your fu ...

#AWSLambda #ServerlessComputing #CloudFunctions

AWS Lambda
serverless computing
event-driven architecture
function as a service
cloud computing
automatic scaling
code execution
API integration
AWS services
trigger events
pay-as-you-go
microservices
deployment
AWS SDK
stateless functions