software architecture patterns for Serverless systems

Here is an example that illustrates software architecture patterns for serverless systems:

Microservices Pattern

- With serverless, you can break down functionality into individual microservices that each handle a specific task. For example, you could have separate functions for user authentication, payment processing, image resizing, etc. These microservices can scale independently and communicate via event triggers or API calls.

Event-Driven Pattern  

- Serverless functions are commonly triggered by events like HTTP requests, database changes, queue messages, etc. You can build an event-driven architecture where different functions process events from various sources. For example, an image upload event could trigger functions for resizing, metadata extraction and storage.

Offline Processing Pattern

- Serverless functions can process data asynchronously in the background. For example, you could have a function triggered by a database change that handles intensive data analysis or image processing. The function runs independently without impacting end users.

Shared Data Pattern

- With serverless, you typically use separate storage like S3 or DynamoDB rather than servers. Multiple functions can securely access the same shared data sources for reading and writing. For example, functions for user profiles and shopping carts can both access a shared DynamoDB table.