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Kavya Joshi explores when and why locks affect performance, delves into Go’s lock implementation as a case study, and discusses strategies one can use when locks are actually a problem.
Nick Tune discusses some of the bounded context design heuristics, recurring patterns in the wild, and explains how to facilitate modeling sessions in an organization.
Moa Johansson discusses the history of computer mathematics and how it connects to the development of early functional programming languages like Standard ML.
Claire Donald shares the journey MOO has been on over the last 2 years implementing the Spotify Model as it scaled, then evolving it further to meet their needs.
Katharina Probst discusses both the mechanics and the implications of cluster sharing on cost, isolation, and operational efficiency, including use cases, even challenging ones.
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