Serverless
by serverless
Build Cloud Functions Without Managing Infrastructure
Deploy and manage serverless applications across AWS, Azure, and Google Cloud with a unified CLI and infrastructure-as-code approach.
- 46,940+ GitHub stars
- Built with JavaScript
- Multi-cloud deployment support for AWS, Azure, and Google Cloud Platform
- Other license
About This Project
The Serverless Framework transforms how developers deploy cloud applications by abstracting away infrastructure complexity. Instead of manually configuring API gateways, function triggers, and permissions across different cloud providers, you define your entire application architecture in a simple YAML file and deploy with a single command.
Cross-cloud compatibility means you're not locked into a single provider's tooling. Write your functions once and deploy to AWS Lambda, Azure Functions, or Google Cloud Functions using the same workflow. The framework handles provider-specific configurations, IAM roles, and resource provisioning automatically.
Perfect for teams transitioning to event-driven architectures, this tool eliminates the steep learning curve of cloud-native development. It includes built-in support for local testing, environment management, and plugin extensibility. Whether you're building REST APIs, data processing pipelines, or event handlers, the framework provides scaffolding and best practices out of the box.
With over 46,000 stars and a mature ecosystem of plugins, you gain access to pre-built integrations for databases, monitoring, security, and deployment strategies. The pay-per-execution model of serverless computing combined with this framework's efficiency makes it ideal for startups and enterprises alike.
Key Features
- Multi-cloud deployment support for AWS, Azure, and Google Cloud Platform
- Infrastructure-as-code using simple YAML configuration files
- Local development and testing environment with offline simulation
- Extensive plugin ecosystem for CI/CD, monitoring, and security integrations
- Automatic resource provisioning including API gateways, databases, and IAM policies
How You Can Use It
Building scalable REST APIs and GraphQL endpoints without managing servers
Creating event-driven data processing pipelines triggered by file uploads or database changes
Deploying microservices architectures with independent function deployments
Implementing scheduled jobs and cron tasks that run only when needed
Who Is This For?
Full-stack developers, DevOps engineers, and cloud architects building event-driven applications who want to focus on code rather than infrastructure management