Four short links.
Four short links.
  1. The Calculus of Service Availability -- A service cannot be more available than the intersection of all its critical dependencies. If your service aims to offer 99.99% availability, then all of your critical dependencies must be significantly more than 99.99% available. Internally at Google, we use the following rule of thumb: critical dependencies must offer one additional 9 relative to your service—in the example case, 99.999% availability—because any service will have several critical dependencies, as well as its own idiosyncratic problems. This is called the "rule of the extra 9."
  2. datproject -- open source crypto—guaranteed distributed data share, designed for versioned data sets.
  3. How Your Data is Stored -- eventual consistency VERY LUCIDLY explained. It follows the original (entertaining) paper by Leslie Lamport but spells everything out clearly for non-computer-scientists.
  4. OpenAI Baselines -- open source implementations of the interesting published algorithms in deep learning. The papers often gloss over some of the details, so a full and working implementation truly lets others build on research. It's like the reproducibility project for deep learning.
Article image: Four short links.