41 karma · joined June 16, 2016
The short version is that if the bounties become too large they'll lose internal talent who can just quit to do the same thing outside the org. Another reason was that they can't offer competitive bounties for zero days because they'll be competing with nation states, effectively a bottomless bank, so price will always go up.
I don't know much about this topic, but surely there are some well structured bounty programs Apple could copy to find a happy middle ground to reward the white hats.
What I'm still trying to grasp is first how to assess the big data tools (Spark/Flink/Synapse/Big Query et.al) for my use cases (mostly ETL). It just seems like Spark wins because it's most used, but I have no idea how to differentiate these tools beyond the general streaming/batch/real-time taglines. Secondly, assessing the "pipeline orchestrator" for our use cases, where like Spark, Airflow usually comes out on top because of usage. Would love to read more about this.
Currently I'm reading Designing Data-Intensive Applications by Kleppman, which is great. I hope this will teach me the fundamentals of this space so it becomes easier to reason about different tools.
It seems so basic but it’s not straight forward at all to implement in a consistent way across browsers. After trying for a while myself, and not wanting to sink days into it, I’ve given up on finding the perfect solution for now. Going to try the 4th step here, but I believe there’s always a new modal bug waiting to be discovered.
[1]: https://medium.com/@dwalsh.sdlr/react-facebook-and-the-revok...