When talking about serverless, two advantages immediately pop up: Scaling out of the box — Probably the best thing we can think of as developers. Don’t manage infrastructure issues — configurations, updates, patches are no longer issues. These advantages are mainly referred to as “FaaS” (Function-as-a-Service), which many cloud providers are now offering, such as , , and more. AWS Lambda Azure Functions Google Cloud Functions Serverless is much more than FaaS — our managed database service that is responsible for scaling, encryption, backups, performance, logs and more Serverless. The same applies to managed queues, storages, web APIs and other services. IS Ultimately, every application is comprised of 3rd party APIs. They are great because they allow us to focus on our product development, rather than implementing an in-house solution that someone has already implemented before — and probably better than what we can do. And the best part — we care neither about scaling nor about the infrastructure. Such 3rd party APIs can provide us with user management ( ), payments ( ), communication ( ), and there are much more out there. Auth0 Stripe Twilio In serverless, there’s one major caveat regarding APIs. When we pay-per-use, or specifically, we pay for the amount of time that our code is running, We will need to measure the performance in order to understand the impact on our cost and our customer’s experience. fast interactions with APIs are crucial! Using Auth0 with AWS Lambda for authentication Let’s start with a quick example — setting up a Lambda function in Python, that returns the user details for a given ID. For user management and authentication we are going to use Auth0. Our main that represents the Lambda function looks like this: handler.py Deployment is being done using the . You can see the full code in . Serverless framework GitHub Measuring the performance of the APIs To get the idea of we can add time prints. That is very hard to maintain and analyze. As we said, we prefer a managed service that will take care of it. We will use a — Epsagon. Once we set up the library in our code, we will get a full visualization of this function’s trace: how long it takes to get the response from Auth0 performance monitoring solution for Serverless We can observe that it takes ~600ms for Auth0 to get the response from Auth0. Running this operation several more times yields a result of ~500ms on average. The additional idle time that we wait for the response, affecting us in a , and . higher cost user experience Optimizing the performance with Lambda and Auth0 At this point, there are few things we can do in order to optimize the performance: — by selecting a closer service region in Auth0 (for example, US instead of EU) we can improve the response times. Measuring the new service region configuration puts us with ~150ms on average (a 350ms / 70% improvement!). Reduce the latency to the service — The user profile changes rarely, so there is no reason to request the same profile from Auth0 every time. Instead, we can store a dict with user_id mapped to his profile and timestamp of the last update. If this timestamp is up to date, we could use the cache data. Otherwise, we can send a new request. It improves the duration drastically (when using cache it’s 0ms!). Caching data (AKA memoization) Considerations when choosing an API For every component in the application’s architecture, there are several APIs to choose from. This list summarizes some key metrics to evaluate: — Undoubtedly, this is important. Price — How easy is it to start work with the service? Does it have a library for the programming language I’m using? Integration — How fast will this API react? Performance — It is sometimes underestimated, but for us, developers — it is critical. Documentation — Are there any API limitations? It might be a deal-breaker. Limitations — Security and regulations, community and support, etc. Extra features Conclusion Serverless is much more than functions — this is our entire application with managed resources and 3rd party APIs. When integrating these with functions, it is important to benchmark their performance with the external resources and APIs and understand their impact on both on our cost and on customers experience. Originally published at blog.epsagon.com .

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