Google Cloud Functions vs. WSO2 Developer Platform

Any sort of transaction or complex logic that is going to take longer than 250ms or accesses resources that are protected by permissions, secrets, etc. is a great use case for a GCF. Some sort of "helper function" associated strictly with the UI inside browser would not be a good application of a GCF. It would not be crazy to create/debug some fairly complicated logic inside the browser/IDE and when perfected package it up as a Google Cloud Function. I have done that many times.

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While you are developing your code, my case is codes for bots, you'll have more power and if you have an API ally that shows forecasts of latencies and throughputs: Choreo by WS02 is that friend. It is very ideal in giving insights on intelligent data mapping, code anomalies as you develop the codes or applications.

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• integration with oAuth
• integration with Firebase
• integration with React Frontend

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• Provides feedback in real time which sorts most of the API performance challenges.
• Displays the estimated application performance as you compose your code.

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• Needing a zip file is problematic (when wanting to automate deployment for example).
• Requires another solution to execute automatically (ex. cloud scheduler).

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• Latency curves may be inaccurate sometimes or provide over/under estimates

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The console UI is pretty nasty. Managing various authentication/permissions configurations is just a nightmare. On the other hand, once you are over the hump it's not so bad. AWS Lambda is no better.

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Documentation is provided and clear for this service. Although GCP support is included in the current contract we didn't get to use it since the process is pretty straightforward.

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It is easier to keep everything in house when we are using GCP or AWS. To mix Lambda with google cloud is not a best practice and will cause problems ahead. The segmentation is clear, if you are using google, you use Google Cloud Functions. if you are on Amazon, you use all AWS tools. You can't mix them. The price is set.

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• For training purposes, it is free
• Budgeting makes it cap the use
• monitoring makes it predictable

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• over 90 percent accuracy in performance prediction of bots under development
• It's possible to trace on faulty codes, down to the machine-level details.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info