Відео

I work as a Senior Data Product Manager. And I can't emphasize more that I really love your video and your explanation of data topics. For me, every 2nd minute I re-learned something new. Would love to watch more of your videos ❤

full form of kora

Great talk-shop conversation! I didn't really internalize the power of free replication and constant networking cost. Software has been trying it seems now for years to split different horizontals (compute, storage, networking). It seems like cloud storage provides the ability to really just focus on compute optimization as that's the largest cost now.

Awesome video

I'm at a critical stage where I have to decide how I'm going to price my SaaS before launch. My gut tells me usage based pricing is the way to go for my CRM however most existing solutions are subscription based. Even though I'm concerned about familiarity with my customer base, I still believe strongly metered billing is natural, sustainable and fair overall. It also simplifies my limit logic implementation as I won't have to put checks everywhere in the code to restrict usage based on the subscription plan.

Thank You

great session, thank you

very intresting for people to create databases

great inspired me

Nice talk. One question I always want to ask but didn't really expect a firm answer here: How Kora is implemented? Is that still Java or some native engine, or mixed? Since it's highlighted for Confluent Cloud and Cloud Native, probably it's actually a set of micro-services.

very instructive! thank you

In the begining of video, you were talking how you were angry against junior developers because they wanted quick answers that solve the problems, i have a question about that plz let's say i am learning spring should i go as deep as learing how it works under the hood and look for how it does the scaning of the beans or it's enough to just know that spring does this and that. Like what do you lean by learning topics in depth ? Because in that way i would be stuck in learning one framework/technology for long time and not knowing anything about other technologies, thanks in advance

This was fun! Thanks for having me on the show, Gwen!

Love your content, Gwen! I have been sharing it with a lot of my friends & co-workers :) I need to come to the Slack and interact more with the community!

Nice interview. I didn't realize that Rails is still so popular among upstarts, isn't there a strong performance penalty when using Ruby? I guess the book would answer this ;)

Great episode, thank you both.

Thanks a lot!

Okay this came in my feed at 0 views

I can't comprehend 50 million+ requests per second.

Excellent

Smart to support per base backup - atlassisn had a 14 day outage because they didn’t

Really impressive! would like to hear more about how you make sure that indeed it is all working (these distributed clusters) - how do you test for correctness and how do you handle network partitions and split brain (assuming the DB must have more than one leader? or at least one per region/zone?)

Great overview! Thank you, Gwen!

Mitigation "Open the window" LoL. Thanks for this inspiring talk!

Interesting. One question I would have is if there is a dissonance between providing a limited SQL-like DSL for users, presumably to lower the barrier for entry, and asking the same users to make an educated decision about whether they need causal consistency 🤔?

This explanation was so concise and clear! Seems to me predicate push-down is a needed network optimization on top of the compute & storage model. What are the tradeoffs of adopting this pattern though? Possibly more compute hardware on the storage server? Latency less predictable due to the filtering logic?

Thanks for the interview Gwen!

Wow. Great explanation. Subscribed

Great job buchi

Great job anna...

To me a data product is something that takes data as the primary input and create value as opposed to the regular products that create value and as part of that create data as an output. For example a regular bank app that simply allows you to move $ from one account to another is a traditional product. As part of this product data is output (i.e. Person A moved $x from Account A to B). A data product would then take all these account movements across all users and create a new product that maybe shows movement of money across all accounts to help inform macro decisions. Here the primary input is data. So data products require data as the primary input and create value for users.

Thanks for explaining, very well done! I was one of those who kept hearing about the term but didn't understand why it is a big deal.

thank you for answering this topic so comprehensively!

Very well explained, thank you Gwen.

Note to the deaf: the video is captioned. Hurray! The speaker knows how to present the material in an interesting way.

is there a product demo somewhere

Great chat. I have tremendous amount of respect for both of you.

very cool. I am a SaaS builder hoping to launch my product that has to do with signin flow!

This is a 10B idea/startup.

How much revenue does a startup need to worry about these things?

Nice talk!

Quality is "conformance with expectations." Which means that a lot of quality is a function of expectancy [measurement of anticipated value] and then instrumentality [measurable to those anticipated values].

I think that you describe exactly the role and significance of a product manager. At least the way I define it.

Great Insights, it was very useful

You're not just talking to yourself Gwen, the world needs more of these videos. Thank you.

Thanks Gwen! Nice talk.

You can find the slides here: speakerdeck.com/dschenkelman/all-about-authz and the links about Sandcastle and @auth0lab: Sandcastle playground: learn.sandcastle.cloud/ Auth0 Lab discord: t.co/ybHn8hEOBl?amp=1 Authorization in Software: Subject Matter Expert Chats: ua-cam.com/play/PLZuCrkqyqw9wY0bCosGYDMI9enFpg_tk-.html @auth0lab: twitter.com/auth0lab