There are a few limits to Function-as-a-Service (FaaS) that should be considered:
1. Cold Start Latency: When a function is invoked for the first time or has been idle for some time, it needs to be loaded into memory, which can result in a slight delay in processing. This is known as cold start latency, and it can be a limitation for applications with strict performance requirements.
1. Execution Time Limits: FaaS platforms typically limit the execution time of a single function to a few minutes or less. This is to prevent runaway processes from consuming resources and causing other functions to fail.
1. Stateless Architecture: FaaS functions are typically stateless, which means they do not maintain any information about previous invocations unless explicitly programmed to do so. As a result, for applications that require stateful processing or long-running transactions, FaaS may not be the most appropriate solution.
1. Limited Customization: FaaS platforms are designed to handle a wide range of event-triggered functions, but they do not provide the same level of customization and control as traditional server-based applications. As a result, developers may face limitations in terms of programming languages or available libraries and frameworks.
1. Cost: While FaaS offers cost savings by allowing developers to only pay for the resources they use, it can be difficult to predict the exact cost of a function-based application. This is because costs can vary depending on the number of invocations, execution time, memory usage, and other factors.
