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- The cost and performance models are two of the key drivers of the popularity of serverless and Function-as-a-Service (FaaS).
- Cold starts have gone down a lot, from multiple seconds to 100s of milliseconds, but there is still much space for improvement.
- There are various techniques that are being used to improve the performance of serverless functions, most of which focus on reducing or avoiding cold starts.
- These optimizations are not free; it is a trade-off between performance and cost, which depends on the requirements of your application.
- Currently, closed-source serverless services offered by public clouds offer few options for users to influence these trade-offs. Open-source FaaS frameworks that can run anywhere (such as Fission) offer full flexibility to tweak these performance/cost tradeoffs.
- Serverless computing is not just about paying for the resources that you use; it is about only paying for the performance you actually need.
