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End-to-End Engineering Performance Stack

Open ThaliaBarrera opened this issue 2 years ago • 9 comments

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:

ThaliaBarrera avatar Sep 26 '23 17:09 ThaliaBarrera

Hey, @ThaliaBarrera Can I work on this issue ?

Abhi-1631 avatar Oct 05 '23 07:10 Abhi-1631

Want to work on this @ThaliaBarrera

ankan2121 avatar Oct 05 '23 17:10 ankan2121

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.

Krishnan-Raghavan avatar Oct 06 '23 08:10 Krishnan-Raghavan

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

ThaliaBarrera avatar Oct 06 '23 21:10 ThaliaBarrera

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.

ThaliaBarrera avatar Oct 10 '23 15:10 ThaliaBarrera

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

Auditbyte25 avatar Oct 18 '23 17:10 Auditbyte25

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

ThaliaBarrera avatar Oct 18 '23 18:10 ThaliaBarrera

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

ThaliaBarrera avatar Oct 25 '23 09:10 ThaliaBarrera

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."?

a-othman avatar Oct 27 '23 11:10 a-othman