AWS Lambda

Compute service that runs code in response to events

AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. Lambda runs your code only when requested, scaling automatically, from a few requests per day to thousands per second.
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AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources. It's a key component of AWS's serverless architecture offering. Lambda functions execute code when triggered by events from AWS services like S3, DynamoDB, API Gateway, or custom applications. You pay only for the compute time consumed while your code runs, with no charges when your code is idle. Key features of AWS Lambda: 1. No server management required - AWS handles infrastructure provisioning, patching, and scaling 2. Automatic scaling - Lambda automatically scales your application by running code in parallel 3. Subsecond metering - Pay for every 1ms your code executes and the number of times it's triggered 4. Event-driven execution - Lambda functions respond to triggers from various AWS services 5. Integrations with many AWS services - Works with S3, DynamoDB, Kinesis, SNS, API Gateway, etc. Lambda supports languages including Node.js, Python, Java, Go, Ruby, .NET Core, and custom runtimes. Functions can run up to 15 minutes per execution. Common use cases include: - Data processing (ETL operations) - Real-time file processing - Backend services for web/mobile applications - IoT backends - Stream processing with Kinesis Lambda functions operate with an execution role (IAM) that grants permissions to access AWS services. Each function runs in an isolated environment with resources you specify (memory, timeout). The Lambda service fits perfectly with microservices architectures and follows best practices for building scalable, highly available systems with reduced operational complexity.

AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources. It's a key component of AWS's serverless architecture …

Concepts covered: Lambda@Edge, Lambda Layers, Provisioned Concurrency, AWS Lambda Permission Model, Event-driven architecture, Function execution model, Lambda function limitations, Cold start and warm start, Lambda Triggers, Function Versioning and Aliases

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