Lets code Airflow Kubernetes Pod Operator | Deep dive | Part 2

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  • เผยแพร่เมื่อ 9 ม.ค. 2025

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  • @kpicsoffice4246
    @kpicsoffice4246 ปีที่แล้ว +1

    Really good videos.
    Can you make one how to create a new spark job to a cloud Kubernetes like EKS cluster running Airflow? Bonus points if you can show how to dockerize, test it locally, deploy on QA environment & eventually promote it to production environment.
    This will mimic day to day work real closely. I understand it’s massive to undertake, but hope you get around to creating a series for this end to end scenario.
    Love your content!!

    • @kpicsoffice4246
      @kpicsoffice4246 10 หลายเดือนก่อน

      Come on bro. It’s been so long don’t keep us waiting :)

  • @AmitPawar-k3e
    @AmitPawar-k3e ปีที่แล้ว

    nice and simple demonstration.. thanks

  • @lion95877
    @lion95877 ปีที่แล้ว

    You are the best🎉😊

  • @alephmelo
    @alephmelo ปีที่แล้ว +1

    Very interesting deep dives. I was wondering how would you go about specifying resources per DAG step? Say ingest would need at least 32gb mem and X CPUs. Is there any way to have this flexibility at this point? Thanks for the videos. Keep up the good work.

  • @rockfury
    @rockfury ปีที่แล้ว

    Great explanation, Just one quetion how can we use "envFrom:configMapRef" key:value variables into our docker image business logic.

  • @lion95877
    @lion95877 ปีที่แล้ว +1

    Great 🎉

  • @王宁-v9l
    @王宁-v9l ปีที่แล้ว

    hello my friend, Would you mind being able to share the code on github?

  • @pankajsuryavanshi8332
    @pankajsuryavanshi8332 ปีที่แล้ว

    Please record previous old video again. Quality is not good.