FogBugz vs. Google Cloud Functions

FogBugz has been a very useful tool to our organization, and much preferred over other options we reviewed, mainly JIRA. There are still some improvements needed, but with the fairly recent acquisition by DevFactory, we have a great deal of hope for what is in store given DevFactory's focus and transparency. It seems like both DevFactory and FogBugz customers are eager for substantial improvements on the front-end, but there is/was a great deal of backend housecleaning that definitely needed to take place first.

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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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• Tasks, Subtasks, and notes. All three of these areas were critical for our team. Tasks in Fogbugz were a bit easier to see than in more bug based software like Trello or JIRA
• The entire screen is used to view a task or case. Clicking on a task or case will open up and take up the entire screen, aside from the sidebar nav columns. I like to see details and I think Fogbugz does this very well, using up as much digital real estate as possible.
• Flowcharting in Fogbugz with Creately is nice - instead of getting an exterior flowchart software like Lucidchart, Creately works right in Fogbugz.

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

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• The simplicity of a single admin type user is not great because anyone who can create a job or client in the system, can also add and delete users. Content and User administrative rights should be separated.
• There are ways to change the terminology/lexicon within the tool, but we are not able to get it to work even after reaching out to tech support. So we are forced to use the system terminology that doesn't match up to our company making training a bit difficult.
• There is a subscribe function that you can opt into, there should be a way to add subscribers as you create a new task.

• 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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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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I like JIRA a lot better than Fogbugz for many reasons. If I had a choice, I'd use JIRA every time

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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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• Saves time by quickly allowing Developers to make the necessary notes without getting bogged down in bloated UIs
• Has allowed us to look back easily and see the exact code changes made for the exact Case to aid in decisions for current changes, increasing the certainty of the decided path, without regression

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

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Independently Invited by TrustRadius

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