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Tools for running standard non-serverless applications on AWS Lambda without code rewrites.
Distinct from AWS Provisioners: Focuses on adapting existing frameworks to run on Lambda rather than just provisioning the AWS infrastructure
Explore 3 awesome GitHub repositories matching devops & infrastructure · Serverless Runtime Adaptation. Refine with filters or upvote what's useful.
Zappa is a deployment tool and orchestrator designed to package and deploy Python web applications to AWS Lambda. It functions as a wrapper and framework that adapts standard Python applications to work with serverless infrastructure and API Gateway events. The project enables the hosting of Python web frameworks on serverless environments without requiring the application to be rewritten. It automates the process of pushing code from local environments to the cloud and manages the lifecycle of these deployments to remove manual server management. Its capabilities include automated infrastru
Runs standard Python web frameworks on AWS Lambda without requiring the application to be rewritten.
Up is a deployment tool that transforms any HTTP server into an AWS Lambda function behind API Gateway with a single command, eliminating server management entirely. It provides a unified platform for building and deploying serverless APIs that scale automatically and charge only for actual usage, while supporting Node.js, Go, Python, Java, Crystal, and Clojure runtimes without per-language configuration. The tool automates the generation and management of all required AWS resources—including Lambda, API Gateway, CloudFront, and S3—from a declarative configuration, and can replicate the entir
Runs Node.js, Go, Python, Java, Crystal, and Clojure applications on AWS Lambda without configuring infrastructure.
opennextjs-aws is a serverless infrastructure adapter and deployment tool that transforms Next.js build artifacts into compatible packages for hosting on AWS Lambda and S3. It functions as a deployment adapter that maps framework-specific outputs to serverless functions and object storage. The project distinguishes itself by implementing serverless-specific optimizations, including a cache manager that synchronizes incremental static regeneration and fetch caches via S3 or DynamoDB. It features a cold start optimizer that uses bundle minification and scheduled function warming to reduce laten
Adapts application output to run on various serverless environments including AWS Lambda and edge workers.