End-to-End Engineering Performance Stack

airbytehq / quickstarts

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End-to-End Engineering Performance Stack #32

Open ThaliaBarrera opened 1 year ago

ThaliaBarrera commented 1 year ago

Optimizing Engineering Performance with GitHub, Datadog, and Sentry.

Integrate and analyze data from GitHub, Datadog, and Sentry using Airbyte and dbt to assess and optimize overall engineering performance, from code quality and collaboration to system health and error resolution.

How to get started:

Check out the README and the Contribution instructions in this repo.
Check one of the existing quickstarts and observe their structure.
(Optional, but highly recommended) Implement one of the quickstarts by following the instructions in their README. I recommend starting with E-commerce analytics in BigQuery

Abhi-1631 commented 1 year ago

Hey, @ThaliaBarrera Can I work on this issue ?

ankan2121 commented 1 year ago

Want to work on this @ThaliaBarrera

Krishnan-Raghavan commented 1 year ago

Hey @ThaliaBarrera, It's nice to meet you. Could you please assign this task to me? I am new to AirByte but will try and deliver this issue. Thanks in advance for your help.

ThaliaBarrera commented 1 year ago

Hi @Abhi-1631! Sure, I have assigned it to you.

ThaliaBarrera commented 12 months ago

Hi @Abhi-1631, this message is just to remind you that according to the Hackathon rules you have 5 days to submit progress on the issue. I’ll give you a couple more days to submit a PR, otherwise I’ll have to mark the issue as “To be Claimed” or reassign it.

Thank you for understanding! Let me know if you have any questions.

jopaleti commented 11 months ago

Hi @ThaliaBarrera, I will like to work on this and don't know whether it can be assigned to me?

ThaliaBarrera commented 11 months ago

Hi @jopaleti! I have assigned it to you. Let me know if you have any questions.

ThaliaBarrera commented 11 months ago

I am unassigning this as there has been no progress in the last 5 days. This is now open!

a-othman commented 11 months ago

Hello @ThaliaBarrera , could you provide an elaboration or an example for a use case of what you mean by "optimize overall engineering performance, from code quality and collaboration to system health and error resolution."?