Serverless on AWS

Build and run applications without thinking about servers

AWS offers technologies for running code, managing data, and integrating applications, all without managing servers. Serverless technologies feature automatic scaling, built-in high availability, and a pay-for-use billing model to increase agility and optimize costs. These technologies also eliminate infrastructure management tasks like capacity provisioning and patching, so you can focus on writing code that serves your customers. Serverless applications start with AWS Lambda, an event-driven compute service natively integrated with over 200 AWS services and software as a service (SaaS) applications.

Move from idea to market, faster

Lower your costs

Eliminate operational overhead so your teams can release quickly, get feedback, and iterate to get to market faster.

With a pay-for-value billing model, resource utilization is automatically optimized and you never pay for over-provisioning.

Adapt at scale

Build better applications, easier

With technologies that automatically scale from zero to peak demands, you can adapt to customer needs faster than ever.

Serverless applications have built-in service integrations, so you can focus on building your application instead of configuring it.

Read the Serverless Quarterly Recap Blog Post »

Take the next step

Builders

Ready to build? Head over to the learning library to get started with hands-on serverless tutorials.

Learning Library »

Business Leaders

Want to empower your development teams? Check out these insights from IDC.

Executive Insights »

Startups

Need to build an MVP fast? Learn how to access credits, and build your first application.

Startup Center »

Serverless services on AWS

Modern applications are built serverless-first, a strategy that prioritizes the adoption of serverless services, so you can increase agility throughout your application stack. We’ve developed serverless services for all three layers of your stack: compute, integration, and data stores. Consider getting started with these services:

Amazon Redshift Serverless

Amazon Redshift Serverless makes it easy to run and scale analytics without having to manage your data warehouse infrastructure while only paying for what you use.

Amazon Neptune Serverless

Amazon Neptune serverless is an on-demand, scalable graph database that automatically provides customers with capacity based on an application's needs.

Amazon OpenSearch Serverless

Amazon OpenSearch Serverless is a serverless option in Amazon OpenSearch Service, helping deliver search and log analytics without provisioning and adjusting resources.

Amazon ElastiCache Serverless

Amazon ElastiCache Serverless makes it easy to create a highly available cache in under a minute and scales to meet application demand with ultra-fast performance.

Use cases

Web applications
Data processing
Batch processing
Event ingestion

Web applications
Build web applications

Build a simple “to-do list” web app that enables a registered user to create, update, view, and delete items. An event-driven web application may use AWS Lambda and Amazon API Gateway for its business logic and Amazon DynamoDB as its database, and AWS Amplify Console to host all static content.

Sample Code »
Data processing
Process data at nearly any scale

Deliver notes from an interview in Markdown format to Amazon S3. Use S3 Events to trigger multiple processing flows - one to convert and persist Markdown files to HTML and another to detect and persist sentiment.

Sample Code »
Batch processing
Automate batch processing

Schedule workflows on a recurring basis using an Amazon EventBridge rule. For example, you can generate the minimum, maximum, and average ratings for air quality measurements by orchestrating the Extract Transfer Load (ETL) workflow using AWS Step Functions and AWS Lambda.

Sample Code »
Event ingestion
Index and store documents and images automatically

Use Amazon machine learning (ML) services like Amazon Comprehend and Amazon Rekognition to uncover information in unstructured data and send the results to Amazon OpenSearch (successor to Amazon Elasticsearch Service) for fast indexing. Patterns like this work well in ecommerce applications for tasks that support personalized customer experiences, such as clickstream analysis.

Sample Code »