Serverless Application Design Patterns
Serverless architecture has introduced a variety of design patterns that help solve specific problems in the serverless environment efficiently. These patterns leverage the strengths of the serverless execution model, such as automatic scaling, built-in high availability, and event-driven execution. Here are some of the most common serverless application design patterns:
- Function-as-a-Gateway (FaG):
- This pattern involves using a serverless function to act as a gateway or a proxy that routes incoming requests to other services or functions.
- It’s often used to implement API gateways where the function handles incoming HTTP requests, performs initial processing, and routes them to appropriate backend services.
- This pattern can help manage different backends or aggregate results from multiple sources.
- Event Stream Processing:
- Serverless functions are well-suited for responding to data streams, such as logs, financial transactions, or social media feeds.
- In this pattern, functions are triggered by streams of events, processing each event individually.
- This is useful in scenarios like real-time data analytics, logging, or IoT data processing.
- Aggregator:
- A serverless function acts as an aggregator that collects results from multiple systems or functions, aggregates them, and returns a unified response.
- This is particularly useful in microservices architecture, where different services handle parts of a transaction or query.
- Strangler Fig Pattern:
- This pattern is useful in gradually migrating a legacy system to a serverless architecture. Serverless functions are introduced to handle new functionalities or to intercept calls to existing services, slowly replacing the old system’s components with new serverless-based implementations.
- Circuit Breaker:
- Implementing the circuit breaker pattern in a serverless architecture involves setting up a mechanism to “break” the function invocation chain when a certain threshold of failures is reached.
- This helps to prevent a cascade of failures and allows the system to continue functioning, albeit at a reduced capacity, when part of the system fails.
Serverless Architecture
Serverless architecture is revolutionizing the way businesses build and deploy applications, offering a new way where managing servers is no longer a concern. This approach allows developers to focus solely on coding, as the underlying infrastructure—handling scaling, maintenance, and provisioning—is managed by cloud providers. In this article, we’ll explore the fundamentals of serverless computing, its benefits, and potential drawbacks.
Table of Content
- What is Serverless Computing?
- Serverless Computing Providers and Platforms
- Developing Serverless Applications
- Serverless Application Design Patterns
- Integration and Orchestration in Serverless Architectures
- Scaling and Performance Considerations for Serverless Architecture
- Security Best Practices for Serverless Architectures
- Serverless Architecture Use Cases
- Challenges of Serverless Architecture
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