Use Cases of Serverless Architecture
Below are some common use cases for both serverless architecture:
| Use Case | Description |
|---|---|
| Event-driven Processing | Applications that respond to events or triggers, such as HTTP requests, database changes, file uploads, or scheduled tasks, with short-lived and stateless functions. |
| Asynchronous Task Execution | Background processing tasks, such as image or video processing, file conversion, data validation, or batch processing, that can be executed independently of user interactions. |
| Microservices Architecture | Decomposing monolithic applications into smaller, independently deployable services, each implemented as a serverless function, to enable scalability and agility. |
| IoT Data Processing | Processing and analyzing data streams from IoT devices, sensors, or edge devices, where workloads can vary unpredictably and scale dynamically based on demand. |
| Serverless APIs and Webhooks | Exposing APIs or webhooks for third-party integrations, webhooks, or serverless computing services, where functions are invoked in response to external events or requests. |
Server vs. Serverless Architecture
There are two main ways to run applications in the cloud: traditional servers and serverless computing. Traditional servers require you to manage everything, from hardware to scaling. Serverless computing lets you focus on writing code, with the cloud provider handling the infrastructure. Each has its pros and cons, depending on factors like cost, scalability, and complexity. This article compares both approaches, helping you decide which is right for your project.
Important Topics for Server vs. Serverless Architecture
- What is Server Architecture?
- What is Serverless Architecture?
- Differences Between Server and Serverless Architecture
- Use Cases of Server Architecture
- Use Cases of Serverless Architecture
Contact Us