Breaking the Chains: Embracing Serverless Patterns
Serverless Patterns refer to standard solutions to common problems when building and deploying applications using a Serverless architecture. Some common Serverless Patterns include:
| Pattern | Description |
| Event-Driven Processing | Processing and triggering actions responding to specific events, such as an HTTP request or creating an object in a data store. |
| Backend for Frontend (BFF) | A microservice acts as a middleman between the front end and the various backend services. |
| Function Composition | chaining multiple serverless functions to build a more complex workflow. |
| State Management | maintaining state across multiple serverless functions and preserving it between invocations. |
| Circuit Breaker | using a serverless function to implement a circuit breaker pattern to prevent cascading failures. |
| Storage-First | a pattern for storing incoming data and requests before processing them to ensure data durability and prevent loss. |
| Fan-Out/Fan-In | a pattern for processing large amounts of data in parallel by dividing the data into smaller chunks and processing each in its function. |
| Dynamic Configuration | managing and storing configuration data in a centralized and scalable way. |
| Compute-Optimized Processing | optimizing compute resources to reduce costs and improve performance. |
These patterns help developers solve common problems when building serverless applications and provide a framework for designing, implementing, and scaling serverless solutions.