Utilize Google Cloud Functions for speedy and efficient execution

After delving into tutorials on Firebase Cloud Functions, it's clear that Express is the go-to tool. However, I'm curious if it would be beneficial to set up a separate Express app for each function, with each mini-app containing only one route. Alternatively, should I create one function that is an Express app managing all request handlers?

The first approach offers the convenience of viewing separate logs for each function in the console.

On the other hand, the second approach allows for dynamic URLs and parameter matching, such as "user/1234/cars" (even though I don't plan to do so).

I'm particularly interested in which option is more resource-efficient or faster. How often are these function environments recreated?

If each function call uses a separate environment, then the first approach might be better due to the smaller app footprint. If this is not the case, then the latter approach could be superior.

Answer №1

When using serverless backends, such as Cloud Functions, the worry of scaling is eliminated. The system will automatically adjust to the workload on your endpoints without any input from you. The intricacies of scaling are handled internally by the system, allowing it to make decisions based on what is most effective.

As an application developer, your focus should be on writing and deploying code that aligns with your preferences. There is no need to compromise on convenience or features in order to improve scalability since you do not have control over the scaling process.

If you require more advanced and customizable logging options, consider utilizing StackDriver instead of relying solely on console logs.

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