When should you not use Lambda?

As a professional in the field of cryptocurrency and finance, I often come across various tools and technologies that can be Leveraged for various purposes. One such technology is Lambda, a popular serverless computing service offered by Amazon Web Services (AWS). However, like any other technology, there are certain scenarios where using Lambda might not be the best choice. So, the question arises - when should you not use Lambda? For starters, if your application requires long-running processes or heavy computation, Lambda might not be the ideal solution. Lambda is designed to run short-lived, stateless functions that execute quickly and efficiently. If your application involves processes that take a long time to complete or require a significant amount of computational power, you might be better off with a more traditional server-based solution. Furthermore, if your application requires a lot of storage or frequent access to large datasets, Lambda might not be the best fit. Lambda functions have a limited amount of storage available, and accessing external storage systems like Amazon S3 or Amazon RDS can introduce latency and increase costs. Finally, if your application needs to maintain state across multiple function invocations, Lambda might not be the right choice. Lambda functions are stateless by design, meaning that they do not retain any information from previous invocations. If your application requires state management, you might need to use additional services like Amazon DynamoDB or Amazon ElastiCache to persist data between function calls. In summary, while Lambda is a powerful and flexible tool for serverless computing, it may not be the best solution for every application. It's important to carefully consider your specific requirements and use case before deciding whether or not to use Lambda.