ÜBER DIESE EPISODE
It’s been nine years since Designing Data-Intensive Applications became the standard text for distributed systems. Today, Martin Kleppmann and Chris Riccomini join the show to pull back the curtain on the upcoming Second Edition. After all, the era of local disks are giving way to cloud-native object storage. So we discuss why modern databases are being rebuilt entirely on top of S3.
From there, we revisit the CAP theorem—and why it might be time to retire it in favor of "offline availability." We also get into a surprisingly practical debate on AI, exploring how LLMs might be terrible at creative design but perfect as "test oracles" for verifying complex system migrations.
You’ll want to stick around for this one.
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VERGANGENE FOLGEN SUCHEN
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WEITERE EPISODEN IN DIESEM PODCAST
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Why do LLMs struggle to build complex architecture?
According to Unmesh Joshi, Distinguished Engineer at ThoughtWorks, it often comes down to a lack of shared abstractions, of a shared vocabulary.
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What happens when your open source library changes millions of lives?
In this episode, we sit down with David MacIver, Zac Hatfield-Dodds, and Liam DeVoe — three generations of maintainers of Hypothesis, the property-based testing library used by roughly 5% of all Python developers. It’s by orders …
You hit 100% test coverage, deploy to production, and the system still falls over. An old story, maybe aside from the 100% coverage percent part.
In this episode, David sits down with Marco Primi and Sean Allen from the Antithesis Red Team to talk about a likely missing piece in your testing strate…
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