serverless▌

This skill provides comprehensive guidance for building serverless applications and event-driven architectures on AWS based on Well-Architected Framework principles.

Performing security reviews of serverless functions across AWS Lambda, Azure Functions, and GCP Cloud Functions to identify overly permissive execution roles, insecure environment variables, injection vulnerabilities, and missing runtime protections.

Cloud computing platform for running Python on GPUs and serverless infrastructure, ideal for AI/ML workloads.

Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.

Deploy serverless browser automation as cloud functions using Browserbase.

Category: test

Category: tool

Comprehensive guide to running ML workloads on Modal's serverless GPU cloud platform.

Production-ready serverless patterns for AWS Lambda, API Gateway, DynamoDB, and event-driven architectures. \n \n Lambda handler structure with proper error handling, context optimization, and SDK client initialization for cold start efficiency \n API Gateway integration using SAM templates, supporting both HTTP and REST APIs with CORS configuration and IAM policies \n Event-driven SQS patterns with batch processing, partial failure handling, dead-letter queues, and retry logic \n Anti-patterns

Proper Lambda function structure with error handling