Chris Riccomini

Chris Riccomini, an engineer who builds distributed systems and startups, and Martin Kleppmann, a researcher and author on distributed systems, discuss rebuilding databases on cloud-native object storage. They explore how S3-like stores change system assumptions. They revisit CAP and propose offline availability. They debate using formal methods, model checking, and LLMs as test oracles for migrations.

Data systems experts Wes McKinney, Pedro Pedreira, Chris Riccomini, and Ryan Blue discuss the concept of composable data systems, the challenges and incentives for composable components, specialization and modularity in data workloads, and the efficiency and common layers in data management systems. They also explore the evolution of data system composability, exciting new projects in data systems, and the challenges of standardizing APIs.

Chris Riccomini, an engineer with a rich background at LinkedIn and WePay, shares insights on building SlateDB and the intricacies of data infrastructure. He recounts his journey from PayPal to LinkedIn, detailing the shifts in technology and engineering challenges. The discussion flows into writing a collaborative handbook for new software engineers during the pandemic. Riccomini also delves into learning Rust, the role of AI in programming, and strategies for staying relevant in tech, emphasizing the future of data applications.

Chris Riccomini, an expert in stream processing and LSMs, dives into the evolution of streaming systems, highlighting the challenges developers face. He critiques SQL's limitations in this space and emphasizes the need for better API designs. The discussion also touches on the impact of Rust on usability and efficiency, particularly in embedded libraries. Chris shares insights about his exciting project involving log-structured merge trees on object storage, and the future of data systems with a focus on composable databases and the importance of metadata in AI.

Chris Riccomini, ex-Distinguished engineer at Wepay and co-creator of Apache Samza, discusses the evolution of data systems, the rise of Arrow, and the future trends in database systems. Topics include domain-specific databases, object storage for edge systems, developer ergonomics, and the shift towards specialized Postgres-compatible databases.