Could you leave your email in your bio? Or email me? Definitely interested to learn more about your experience.
65 karma · joined November 28, 2018
1) Okta – Single Sign-On as a service
2) Snowflake – Cloud-native data warehouse as a service
3) Crowdstrike – Cloud-native security as a service
Created a new issue at https://github.com/minimaxir/hacker-news-undocumented/issues....
Focusing on writing well and building an audience is the most important thing while starting out.
n.b.: I've been writing at https://reframing.substack.com/ for the past 5 weeks.
1. Get an idea, write it down in Notes, mull over it for 2-3 weeks, do research and create an outline, write the article
2. I had something to get out there, so I wrote something on Friday. Committed to myself that I'd do the same next week and I'm now 4 weeks in.
3. I think of it as sharpening my writing muscle, especially with regard to what topics I choose and how I tell that story. I'm willing to consider a lot of my current work as a "throwaway" until I get better at my craft. Eventually, I'll develop a proper audience and hopefully, something will go viral.
4. Perfectionism was a big one, previously I would always put things off until they're perfect. Now I have to ship every Friday so I'm less focused on getting it perfect. Another was that the story I want to tell shifts while writing it, hopefully, I get better at this over time.
> The unanimous 23-to-0 vote ratified a proposal put forward last month by UC President Janet Napolitano to phase out the exams over the next five years until the sprawling UC system can develop its own test.
I plan to publish every Friday.
You're processing an average of 1.33 million trades/hour. Let's double that and round up for peak traffic, that's 3 million trades/hour or 833.33 trades/second.
Unless I'm missing something, you only need 1 line. What's the problem here?
You can use different technologies based on your use case, but you probably need all the pieces outlined above. As someone else has mentioned, if you're looking for trade-offs between different technologies, I'd recommend "Designing Data-Intensive Applications" by Kleppmann.
There's a lot of context that's missing from your post, some questions that can help us guide you in the right direction:
1) Can your website call out to external services, or are you limited to operating behind a company network?
2) Is this more of an ad-hoc analysis or do you want to invest in a framework to be able to track such metrics systematically over time?
3) How important is data accuracy? Adblock can easily mess with client-side metrics.
4) How real-time do metrics need to be? The big trade-off here is speed vs accuracy.
5) How long do you intend to keep this data? This is a pretty big concern with regards to privacy and storage costs.
If you'd rather not share some of these answers on a public forum, feel free to shoot me an email.
It's mentioned on slide 6.
Curious to know what the differences are vis-a-vis big data tools like Hadoop or Spark; as a user of those tools I recognized a lot of common failure patterns in the example above. Thanks!
https://www.theverge.com/2018/11/2/18057034/amazon-day-prime...
Going to do this in Scala, if anybody wants to join my email is in my bio.
For maps, music and Uber 3G worked just fine for me in the UK and India.
T-Mobile has unlimited data for $40/line for 4 lines, if everyone uses at least 2 GB that makes more sense.
Currently paying $140 on T-Mobile for 4 unlimited lines with unlimited international 3G roaming (good enough for maps and music) and other misc. benefits (half-off phones, free Netflix, unlimited in-flight wi-fi).