Amazon Lambda, also known as AWS Lambda, is a serverless computing service provided by Amazon Web Services (AWS). It allows you to run code without the need to provision or manage servers. Lambda executes your code in response to triggers, such as changes to data in an Amazon S3 bucket, updates to a DynamoDB table, or HTTP requests sent via API Gateway.

Here are some key features and benefits of AWS Lambda:

1. Serverless Architecture: With Lambda, you can focus on writing and deploying your code without the need to manage underlying servers or infrastructure. AWS handles all the operational aspects, including scaling, patching, and high availability.

2. Event-Driven Computing: Lambda functions are triggered by events from various AWS services or custom events. You can configure triggers to execute your code in response to specific events, enabling reactive and event-driven architectures.

3. Pay-per-Use Billing: Lambda follows a pay-per-use model, meaning you only pay for the compute time consumed by your functions. Billing is based on the number of requests, the duration of each request, and the amount of memory allocated to the function.

4. Automatic Scaling: Lambda automatically scales your functions to handle incoming requests. It allocates resources based on demand, ensuring that your functions can scale to handle high loads without manual intervention.

5. Wide Language Support: Lambda supports a variety of programming languages, including Node.js, Python, Java, C#, Ruby, PowerShell, and Go. This enables developers to use their preferred language for writing serverless functions.

6. Integration with AWS Services: Lambda integrates seamlessly with other AWS services, allowing you to build end-to-end serverless architectures. It can be used with services such as S3, DynamoDB, SQS, SNS, Kinesis, and more.

7. Event Logging and Monitoring: AWS CloudWatch provides monitoring and logging capabilities for Lambda functions. You can monitor function invocations, duration, errors, and other metrics, and configure alarms and notifications based on predefined thresholds.

AWS Lambda is commonly used for various use cases, including data processing, real-time stream processing, event-driven workflows, microservices, API backends, and more. Its serverless nature, automatic scaling, and integration with other AWS services make it a powerful tool for building scalable and efficient applications in the AWS ecosystem.