Comments

• remove_circle_outline add_circle_outline Zainab Bawa (@zainabbawa) Reviewer 2 months ago

  Thanks for the submission, Akash. Upload your draft slides and preview video by 1 May.

  [Link]
• remove_circle_outline add_circle_outline Zainab Bawa (@zainabbawa) Reviewer 2 months ago

  Thanks for the slides and preview video, Akash. The slides are currently very thin, and don’t contain details of the case studies and learnings. With these slides, we can make a partial judgement. Whereas, we want to see detailed slides, with case study details and data to substantiate your arguments.

  Also, the takeaways need to be articulated more strongly in the slides.

  [Link]

  • remove_circle_outline add_circle_outline Zainab Bawa (@zainabbawa) Reviewer 2 months ago

    From one of the reviewers:

    Here is a reference to a talk similar to what you are doing: http://code.flickr.net/2008/10/27/counting-timing/
    A similar expansion into “what is actually used” with this presentation will help (“instrument” + “visualize” + “react”).

    [Link] [Parent]
  • remove_circle_outline add_circle_outline Zainab Bawa (@zainabbawa) Reviewer 2 months ago

    Here is more feedback on the proposal:

    1. The theme of the talk is good but the slides are limited in scope.
    2. Akash has to tell a story about what was the state of the system, what are the problems they faced, why and how they adopted the new system, and what is the business impact of this change.
    3. The slides mostly talk about the how part which is hard to relate from the participants’ perspective.

    [Link] [Parent]

    • remove_circle_outline add_circle_outline Akash Khandelwal (@akash099) Proposer 2 months ago

      Hi Zainab,
      I’ve revised the slides, adding more details on
      1. How we solve each sub-problem of instrumenting, visualizing, and validating.
      2. Sample Plots to help users relate to the actual solve
      3. Case studies on how these evolved and our learnings through the journey.

      [Link] [Parent]

      • remove_circle_outline add_circle_outline Zainab Bawa (@zainabbawa) Reviewer 2 months ago

        Thank you. Evaluating this. Will advise on next steps here.

        [Link] [Parent]
• remove_circle_outline add_circle_outline Krishnapriya Satagopan (@krishnapriyasatagopan) a month ago

  Here are a few thoughts about this presentation:
  1. The points - Validation, Capturing, Visualization - can have more details, examples and war stories can also be added.
  2. The Visualization slides have very limited content. What metrics are we covering here? Details on Alerts. There are alerting and monitoring tools provided out of the box. How can you leverage it to avoid going through millions of log lines.
  3. The motive here is to provide people with more use cases and problems to look out for and how to solve them. The presentation talks more on the cycle of building a scalable pipeline which people may be aware of.
  4. Can there be some comparison study? Some more screenshots from your work to be able to relate to the slides?

  [Link]

  • remove_circle_outline add_circle_outline Zainab Bawa (@zainabbawa) Reviewer a month ago

    Thanks Krishnapriya. Akash, you need to incorporate or respond to these comments.

    [Link] [Parent]

    • remove_circle_outline add_circle_outline Akash Khandelwal (@akash099) Proposer a month ago

      Hi Krishnapriya,
      Thanks for reviewing and providing detailed set of comments.
      1. I will narrate couple of war stories/anecdotes from experience. Added placeholders for those in slides.
      2. Added more examples for visualization. Many times, its specific to local context, so will give an example of that. Regarding alerts, I’m not focusing on alerting tools, rather what things to alert on.
      3. Yes, the case studies which I’m embedding should address this.
      4. Are you refering to tool comparison. For the purpose of this talk, I’m not emphasizing on how but rather what. What things should be taken care for robustness. For how, as you said, there could comparison studies of visualization and alerting tools, which is not the focus of this talk.

      [Link] [Parent]
• remove_circle_outline add_circle_outline Zainab Bawa (@zainabbawa) Reviewer a month ago

  Akash, here is another way to structure your talk: take a use case where things went wrong because some data engeering task went wrong in the pipeline. A use case where models or systems were using stale data and no one noticed. Build the case on top of that and talk about how you solved them.

  [Link]

  • remove_circle_outline add_circle_outline Akash Khandelwal (@akash099) Proposer a month ago

    Good point Zainab. Added placeholders for a couple of such cases. Will cover them during the rehearsel.

    [Link] [Parent]
• remove_circle_outline add_circle_outline Abhishek Balaji (@booleanbalaji) Reviewer a month ago

  Hi Akash,

  We’re scheduling a reherasal for your talk. You will receive an email with the schedule and the next steps. Do make sure to incorporate all the feedback above.

  [Link]

  • remove_circle_outline add_circle_outline Akash Khandelwal (@akash099) Proposer 27 days ago

    Hi Abhishek, I’ve added few context setting slides as per feedback from rehearsel session.

    [Link] [Parent]

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