However, this convenience and flexibility also

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Don’t miss the next article Subscribe to the newsletter Best practices for accelerating serverless applications Sabine Dams Sabin Adams Sabin Dev Fast performance of applications is essential for delivering a great user experience Crucial In this article we will look at the pitfalls and best practices for optimizing cold start and handler performance in serverless applications. Table of Contents Introduction to Performance Pitfalls of Serverless Functions Best Practices for Performance Optimization Host your functions in the same area as the database Run as much code as possible outside of handlers Keep your functions as simple as possible Don’t do more work than necessary Preconfigured Concurrency Conclusion Introduction The serverless deployment paradigm with functions as a service enables developers to easily deploy their applications in a scalable and cost-effective manner. comes with a set of complexities that need to be noted. In early deployment models using long-running servers, the execution environment .


s always available as long as the ser photo editing servies ver is up and running. This enables your application to respond to incoming requests immediately. The new serverless paradigm requires us as developers to find ways to ensure your functionality is available and responds to requests as quickly as possible. Performance Pitfalls of Serverless Functions In a serverless environment your functions can be reduced to zero. This allows you to minimize operational costs but also incurs technical costs. A new function must be instantiated when you have no available function instance to respond to a request. This is called a cold start. Watch for a detailed explanation of what a cold start is and how we can minimize cold start times when using it. Read our recent article How We Used Serverless Cold Start to Make Serverless Cold Starts 2x Faster.



A slow cold start can give users a very bad experience and ultimately degrade their experience with the product. This is the problem. In addition to the cold start problem, the performance of the actual handler function is also very important. Serverless applications typically consist of many small independent functions that interact with each other through protocols such as event bus queues. The intercommunication between various functions creates a dependency chain for each request. If one of the functions is very slow it will affect the rest of the chain. So handler performance is the issue. Best practices for performance optimization come after we spent several months digging into serverless environments and optimizing how we behave in them. Along the way we've discovered a number of best practices that you can adopt in your own applications to maintain the.