biq.blue: Destroy Your Big Query Costs !

Google Cloud Data Analytics
1

Hi!

I’ve been working on Biq Blue a tool engineered to analyze your Google BigQuery tables, storage, and requests with the goal of drastically reducing your costs.

Currently in early free beta, Biq Blue has already demonstrated its effectiveness on some big data sets.

Essentially, it’s a server that connects to your BigQuery database via the gcloud CLI, conducts analyses, and opens an HTTP port to serve both results and recommendations over web pages.

Your data stays local, ensuring it never leaves your enterprise (I may only collects anonymous usage statistics and the email tied to your gcloud account)

I’ve developed versions for Windows, MacOS, and Linux, as well as a Docker version, which can be installed directly on your infrastructure, enabling multiple users to access Biq Blue simply through a web browser.

I’ve spent some time working on the “packager” to ensure that the installation process is as smooth and easy as possible. Consequently, any feedback regarding installation would be particularly appreciated :slightly_smiling_face:

Screenshots and documentation are available on the public GitHub page ( https://github.com/biqblue/docs ). Is it clear enough for you to go through the installation and startup process without any issues?

Any additional feedback or advice is also more than welcome!

Thanks !

1 Like
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It’s great to notice that you’ve incorporated prerequisites and essential requirements to help users stay on the right path. I can see that you have provided all the important details.

I suggest to include a troubleshooting section in your documentation to address common installation issues or errors that users might encounter and encourage users to provide feedback. This can help you identify any potential issues and improve your documentation accordingly.

Also, provide information on where users can seek help or support if they encounter problems. This might include links to a discussion forum, email support, or a dedicated support page.

Remember that user-friendly documentation can significantly improve the user experience and encourage more users to try out your tool. Additionally, being responsive to user feedback and continuously improving your documentation based on user input can help refine the installation process over time.