This enables your application to

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Servers, the execution environment is always available as long as the server is up and running. 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 ha photo editing servies ndler 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 highest possible performance. This allows you to maintain a specified number of .



Available execution environments that can respond to requests without cold-starting. While this sounds great, there are some important things to remember that using provisioned concurrency will incur additional costs. Your application will never scale down. These are important considerations as the added cost may be for your specific scenario. not worth it. Before taking this step we recommend that you look at the value it brings to your application and consider whether the added cost makes sense. Conclusion In this article we looked at some of the best practices we recommend for developers building and deploying serverless functions. The enhancements and best practices mentioned in this article are not intended to be an exhaustive list. To quickly recap we recommend that you host your database as close as possible to your deployed functions run as much code as possible outside of handlers cache reusable values and calculations as much as .