Serverless computing has changed how we build and scale modern software applications. Moving from dedicated virtual machines to ephemeral execution spaces enables businesses to save on infrastructure management costs.
1. Scale to Zero Pricing Model
Unlike traditional servers which run 24/7, serverless systems like AWS Lambda scale to zero requests. If your app receives zero hits during off-peak hours, you pay nothing. This is perfect for utility applications and start-ups.
2. Handling Microservice Boundaries
Serverless architecture encourages dividing your system into independent functional modules. While this increases flexibility, it requires robust logging pipelines (like AWS CloudWatch or Datadog) to track client request traces across microservices.
3. Mitigating Cold Starts
When a serverless function is triggered after a long pause, initializing the environment causes a slight latency spike (cold start). Developers can mitigate this by keeping function bundle sizes minimal and using provisioned concurrency for critical endpoints.