When to use Serverless Architecture

By leveraging serverless architecture, organizations can create scalable, responsive, cost-effective applications that meet changing business needs. However, it's crucial to understand that serverless might not be a silver bullet for every situation, and its use should be determined based on each project's specific requirements and context.

Here are some common use cases for this type of architecture:

1. Microservices: Serverless architecture shines with microservices because it can manage, scale and deploy each service independently.

2. Real-Time File Processing: Tasks that require file processing on the fly, such as image or video processing, data transformation, or content validation, are an excellent fit for serverless architecture. It allows immediate processing once the file is uploaded.

3. Real-Time Stream Processing: Applications requiring real-time responses, such as chatbots, streaming applications, or IoT data processing, can leverage serverless architecture for their ability to scale and process large volumes of data in real-time quickly.

4. Automating Processes: Serverless is great for any background jobs or tasks that need to run on a schedule, like nightly backups, report generation, database maintenance tasks, etc.

5. Burst Workloads: For applications that experience unpredictable bursts of traffic, serverless is an ideal solution. Because of its auto-scalability, it can handle sudden traffic spikes efficiently and cost-effectively.

6. APIs and Web Apps: Serverless architectures can host APIs and web applications. These could be standalone or supporting mobile or web applications.