Murat Buffalo's blog provides insights into computer science research, machine learning, and artificial intelligence. Readers can explore articles covering topics such as algorithm design, data mining, and computational biology. Additionally, they can learn about machine learning algorithms, deep learning techniques, and applications of AI in various domains.

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A 15+ year practitioner of TLA+ shares lessons from 8 real-world modeling projects spanning academia and industry (AWS, Microsoft Azure CosmosDB, MongoDB). Key projects include WPaxos geo-distributed consensus, CosmosDB consistency semantics, AWS Aurora DSQL transaction protocol, a distributed StableEmptySet garbage collection protocol, PowerSet Paxos, DSQL secondary index design, MongoDB's LeaseGuard Raft lease protocol, and MongoDB distributed transactions. Each project yields a distinct lesson: model early, model minimalistically, use TLA+ as a communication tool, choose atomicity granularity carefully, prefer design discovery over verification, and recognize that models add value even retroactively. The author frames TLA+ not as a verification afterthought but as a design accelerator that enables rapid protocol exploration and catches design errors before any code is written.

TLA+ as a Design Accelerator: Lessons from the Industry

7. LeaseGuard: Raft Leases Done Right (2024)

8. MongoDB Distributed Transactions Modeling (2025)