Weekend long read suggestions 2020/09

• Applied thinking for intelligence analysis

  Guide from Australian Air Force. The key message is not surprising – time pressure is bad for decision making. It increases changes of making mistakes, ignoring analyst’s bias or even lead to seizure of pieces of important information to confirm the biasses / expected results.

• A Standard and Clean Series A Term Sheet

  YC take on how “good” Series A Term Sheet should look like.

Software Development

• Distributed Phoenix Chat with PubSub PG2 adapter

  How to leverage pg2 (process groups) for PubSub over multiple nodes.

• Notes on the Go translation of Reposurgeon

  An experience report on a Python-to-Go translation of a program with significant complexity, written in attempted conformance with the Go community’s practice for grounding language enhancement requests not in it-would-be-nice-to-have abstractions but rather in a description of real-world problems.

• Ferrum: a fearless Ruby Chrome driver

  Ferrum is super simple to use chrome driver for writing your tests.

Infrastructure

• Verifying Service Mesh TLS in Kubernetes, Using ksniff and Wireshark

  You don’t necessarily need to verify TLS on service mesh, but knowledge of ksniff could be definitely helpful.

• Meaningful availability

  Beautiful (you should subscribe to Adrian Colyer’s blog) disection of Google’s paper about how they compute availability of services to better reflect actual impact on the users.

• Design for Failure — Distributed Transaction in Microservices

  Kafka powered take on distributed sagas patter for implemented distributed transactions.

• Your Circuit Breaker is Misconfigured

  Good coverage of how to (and not to) configure your circuit breakers. Damian is used context of semian, their open-source implementation of circuit breaker (and bulkheading).

Data and Data Infrastructure

• LinkedIn’s DataHub

  LinkedIn decided to open-source their tool DataHub, metadata search and discovery platform for wast amounts of different datasets available within the organization.

• pg_flame

  A flamegraph generator for Postgres EXPLAIN ANALYZE output.

• wal2json

  JSON output plugin for changeset extraction.

• AI_Curriculum

  Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford University, MIT, UC Berkeley. Currently covering the following topics:

  • Introduction to Deep Learning
  • CNNs for Visual Recognition
  • NLP with Deep Learning
  • Deep Reinforcement Learning