-
- Netflix added 16m subscribers, double the expected.
- Space Force, the new Steve Carell comedy on Netflix, starts in a month.
- Splunk has a dashboard on corona: https://www.splunk.com/en_us/blog/leadership/bringing-data-to-covid-19.html.
- Netflix and TLS 1.3: https://netflixtechblog.com/how-netflix-brings-safer-and-faster-streaming-experience-to-the-living-room-on-crowded-networks-78b8de7f758c.
- Amazon Chime is a great product, from my use so far. Smooth, clear, nice interface.
- Amazon call.
- https://www.amazon.jobs/en/teams/treasury.
- https://www.linkedin.com/in/sahil-chanan-14b25a26/
- Data, software, ML, big data.
- Treasury buffers up to 3 months. Most teams only need about 1.5 months. They write algorithms to forecast this and invest the money elsewhere instead.
- Predictive analytics for worker’s comp.
- They work with treasury analysts. They build the tech.
- They have the front and middle and back offices as well. Back is admin, middle is risk, front is IPs.
- FinTech org is >500 people. His team is 7 engineers, 2 data scientists, 4 software, 1 big data.
- Requested to extend temp storage for a month, just like temp housing.
- Sent a AAA support email about cancelling the CA auto insurance policy, since I hadn’t received a call back yet.
- Netflix hoards shows to release during times like right now, to take advantage of gaps or to react to specific current times, etc. They have enough new content for 2 years!
- This is an article in PW, and it’s NOT good: https://towardsdatascience.com/top-3-python-functions-i-wish-i-knew-earlier-8732e6f35161.
- This, on the other hand, is a great article: https://medium.com/@rakyll/things-i-wished-more-developers-knew-about-databases-2d0178464f78.
- Autoincrementing PKs is not easy in a distributed db.
- Query planners are great tools to autonomously optimize queries before they execute.
- Browsed highscalability for the first time in a couple months.
