Aurora PostgreSQL-Compatible integration with Lambda
AWS Lambda is a serverless computing service for running code without provisioning or managing servers. By integrating Lambda with Amazon Aurora PostgreSQL-Compatible Edition, you can build event-driven architectures and extend the functionality of your Aurora PostgreSQL-Compatible database.
Lambda integration use cases
Common use cases for integrating Aurora PostgreSQL-Compatible with Lambda include the following:
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Data processing and transformation ‒ Offload complex data processing tasks from Aurora PostgreSQL-Compatible to Lambda functions. Scenarios can be data cleansing, data enrichment, data validation, and complex calculations.
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Event-driven workflows ‒ Use Lambda functions to trigger actions or workflows based on events or changes in Aurora PostgreSQL-Compatible. Scenarios include sending notifications, triggering ETL processes, or invoking other AWS services when data is inserted, updated, or deleted in Aurora PostgreSQL-Compatible.
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Real-time analytics and reporting ‒ Use Lambda functions to perform real-time analytics or generate reports based on data stored in Aurora PostgreSQL-Compatible. Lambda functions can query Aurora PostgreSQL-Compatible, process the data, and generate reports or visualizations on-demand or based on a schedule.
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Serverless APIs and microservices ‒ Use Lambda functions to build serverless APIs or microservices that interact with Aurora PostgreSQL-Compatible. Lambda functions can handle API requests, query or modify data in Aurora PostgreSQL-Compatible, and return the response.
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Asynchronous processing ‒ Offload long-running or asynchronous tasks from Aurora PostgreSQL-Compatible to Lambda functions. Scenarios include sending email messages, generating reports, or processing large datasets without blocking the main application or database. Long-running tasks must be within the Lambda 15-minute time limit.
To set up integration between Aurora PostgreSQL-Compatible and Lambda, follow the instructions in the AWS documentation.