End-to-End Engineering Performance Stack
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
Hey, @ThaliaBarrera Can I work on this issue ?
Want to work on this @ThaliaBarrera
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.
Hi @Abhi-1631! Sure, I have assigned it to you.
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.
Hi @ThaliaBarrera, I will like to work on this and don't know whether it can be assigned to me?
Hi @jopaleti! I have assigned it to you. Let me know if you have any questions.
I am unassigning this as there has been no progress in the last 5 days. This is now open!
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."?