Hegel is an open source property-based testing library for every language, based on, and brought to you by some of the folks behind Hypothesis -- the most widely-used, and arguably the best, property-based testing tool in the world today.
We're serious when we say "every language": we released Hegel-rust a couple of weeks ago, and Hegel-go is on available on github today.
a few months ago - two bleeding edge tools in distributed systems testing joined forces. happy to share @AntithesisHQ now supports Kurtosis packages in their autonomous testing platform.
antithesis.com/docs/release_n…
read on to get the full story -
A new blog post about how we've adopted Antithesis as part of our testing story. This is kind of a new thing for us, because we liked Antithesis (both the people and the product) well enough that we're now leading their next funding round.
My niece turned 1 today.
Everyone else brought toys.
I got her 5 shares of $NVDA.
17 years later, I hope she looks at it and thinks: uncle Kev got me started.
One of the key challenges that we mention is that basic ideas like deterministic simulation, property based testing, and global invariants are not known to entry level developers. It would be great to include these concepts in undergraduate curriculum as a prerequisite when studying or building distributed systems.
In this month's ACM Queue, @ankushpd and I write about some of the methods and tools we apply to systems correctness at AWS: from testing, to simulation, to fault injection, to formal proofs.
Hullo west coast!
It's one short week to the #BugBash roadshow in San Francisco, featuring in depth talks on the boundary between deterministic and non-deterministic systems, reliability for LLM applications, and more! Register at luma.com/vgehl2q3
And if you're in Seattle this week, stop by to say hi at #rustconf2025!
Performance is a hurdle to implementing deterministic simulation. At #P99CONF, Alex Pshenichkin will explain how Antithesis employs commodity virtualization technology to run arbitrary deterministic workloads in near-real time. ow.ly/Nzp950WLn78#ScyllaDB
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