web02.fireside.fm Tue, 14 Apr 2026 17:12:59 -0500 Fireside (https://fireside.fm) Elixir Outlaws - Episodes Tagged with “Property Testing” https://elixiroutlaws.com/tags/property%20testing Thu, 26 Jul 2018 11:15:00 -0400 Elixir Outlaws is an informal discussion about interesting things happening in Elixir. Our goal is to capture the spirit of a conference hallway discussion in a podcast. en-us episodic The hallway track of the Elixir community Elixir Outlaws Elixir Outlaws is an informal discussion about interesting things happening in Elixir. Our goal is to capture the spirit of a conference hallway discussion in a podcast. no elixir, erlang, BEAM Elixir Outlaws amos@binarynoggin.com Episode 14: Little's Law All The Way Down http://elixiroutlaws.com/14 8377a04d-901d-4abd-9d34-a2da86513be9 Thu, 26 Jul 2018 11:15:00 -0400 Elixir Outlaws full Elixir Outlaws Main Topics: Queueing theory, blockchain, and testing distributed systems. 43:25 no This week starts with Amos describing the new features elixir 1.7 and Chris explaining some queueing theory. Afterwards Anna describes her experience solving a bug in her crypto-currency exchange. This leads to a discussion on how to find bugs in distributed systems, the dangers of generating data based on types and how to guide generators so they find more bugs. elixir, distributed systems, blockchain, property testing, queueing theory This week starts with Amos describing the new features elixir 1.7 and Chris explaining some queueing theory. Afterwards Anna describes her experience solving a bug in her crypto-currency exchange. This leads to a discussion on how to find bugs in distributed systems, the dangers of generating data based on types and how to guide generators so they find more bugs.

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]]> This week starts with Amos describing the new features elixir 1.7 and Chris explaining some queueing theory. Afterwards Anna describes her experience solving a bug in her crypto-currency exchange. This leads to a discussion on how to find bugs in distributed systems, the dangers of generating data based on types and how to guide generators so they find more bugs.

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