Serverless Framework – Deploy & Manage Serverless Apps

Overview

The Serverless Framework provides a command-line interface (CLI) for developing, deploying, and managing serverless applications. It supports major cloud providers, including AWS Lambda, Google Cloud Functions, Azure Functions, and Apache OpenWhisk. The framework allows developers to define their serverless functions, the events that trigger them, and the necessary infrastructure resources in a declarative YAML or JSON configuration file. This approach enables infrastructure as code (IaC) for serverless architectures, promoting consistency and version control for deployments.

Initially released in 2015, the Serverless Framework was one of the early tools to address the complexities of deploying applications using Function as a Service (FaaS) offerings. Its open-source nature has fostered a community-driven plugin ecosystem, extending its capabilities for various use cases, such as local development, testing, and advanced deployment strategies. The framework abstracts away much of the cloud-specific configuration, allowing developers to focus on application logic rather than intricate cloud provider APIs.

Beyond the open-source CLI, the Serverless ecosystem includes Serverless Cloud and Serverless Console. Serverless Cloud offers a platform for building and deploying serverless applications with integrated data and API capabilities, aiming to simplify the entire development workflow. Serverless Console provides observability and operational tooling for serverless applications, offering features like monitoring, alerting, and debugging across different cloud environments. This suite of tools is designed for teams managing complex serverless deployments, providing a unified interface for development, deployment, and post-deployment operations.

The Serverless Framework is suitable for individual developers and enterprise teams building event-driven architectures, microservices, and APIs. It streamlines the deployment process for applications leveraging serverless functions, helping to manage the lifecycle of these components. For organizations operating across multiple cloud providers, the framework's multi-cloud support can standardize deployment practices. The abstraction layer provided by the framework helps reduce the learning curve associated with each cloud provider's specific serverless offerings, while still allowing access to underlying cloud services when needed. The emphasis on declarative configuration also aligns with modern DevOps practices, enabling automated deployments and consistent environments.

Key features

• Multi-cloud support: Deploy serverless applications to AWS Lambda, Google Cloud Functions, Azure Functions, and other providers from a single configuration.
• Infrastructure as Code (IaC): Define serverless functions, events, and resources in declarative YAML or JSON files for version control and automated deployments (Serverless Framework variable documentation).
• Plugin ecosystem: Extend framework functionality with a wide range of community-contributed plugins for local development, testing, security, and more.
• Local development: Simulate serverless environments locally for faster development and debugging cycles before deployment.
• Observability (via Serverless Console): Monitor function invocations, errors, and performance across multiple cloud providers through a centralized dashboard (Serverless Console monitoring guide).
• Automated deployments: Streamline CI/CD pipelines with CLI commands for deploying, updating, and removing serverless services.
• Language support: Develop functions using Node.js, Python, Go, Java, Ruby, C#, and other runtimes supported by cloud providers.
• Event-driven architecture focus: Easily configure functions to respond to various events, such as HTTP requests, database changes, or message queue events.

Pricing

The Serverless Framework offers an open-source CLI that is free to use. Additional products, Serverless Cloud and Serverless Console, provide managed services with tiered pricing plans. Pricing information is current as of May 2026.

For detailed pricing and feature comparisons, refer to the official Serverless pricing page.

Common integrations

• AWS Lambda: Core integration for deploying Node.js, Python, Java, Go, C#, and Ruby functions to Amazon Web Services (AWS quick start guide).
• Google Cloud Functions: Deploy functions to Google Cloud Platform, supporting various runtimes (Google Cloud quick start guide).
• Azure Functions: Integrate with Microsoft Azure for deploying serverless logic (Azure quick start guide).
• VPC (Virtual Private Cloud): Configure functions to run within a VPC for secure network access to private resources.
• API Gateway: Automatically set up HTTP endpoints for serverless functions, handling routing and proxying.
• Databases (e.g., DynamoDB, PostgreSQL): Connect functions to various database services, often configured via IAM roles or environment variables.
• CI/CD tools (e.g., GitHub Actions, GitLab CI): Automate deployments and testing of serverless applications within continuous integration and delivery pipelines.
• Monitoring tools (e.g., CloudWatch, Datadog): Send metrics and logs from serverless functions to external monitoring and alerting systems.

Alternatives

• AWS Serverless Application Model (SAM): An open-source framework for building serverless applications on AWS, providing a simplified syntax for defining resources.
• Pulumi: An infrastructure as code tool that allows developers to define cloud infrastructure using general-purpose programming languages.
• Terraform: An open-source infrastructure as code software tool that enables you to provision and manage cloud resources across various providers.

Getting started

To get started with the Serverless Framework, you typically install it globally via npm and then create a new service. This example demonstrates deploying a simple Node.js HTTP endpoint on AWS Lambda.

# Install the Serverless Framework CLI globally
npm install -g serverless

# Create a new serverless service using the AWS Node.js template
serverless create --template aws-nodejs --path my-serverless-app

# Navigate into your new service directory
cd my-serverless-app

# Open the handler.js file and replace its content with a simple HTTP response
# (e.g., using a text editor)

# handler.js content:
# 'use strict';
#
# module.exports.hello = async (event) => {
#   return {
#     statusCode: 200,
#     body: JSON.stringify(
#       {
#         message: 'Hello from Serverless Framework!',
#         input: event,
#       },
#       null,
#       2
#     ),
#   };
# };

# Deploy your service to AWS (ensure AWS credentials are configured)
serverless deploy

# After deployment, the CLI will output the endpoint URL. You can then test it:
# curl <your-deployed-api-gateway-url>/hello

# To remove the deployed service and all its resources
serverless remove