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.

Metadata

Explores how cloud trends are reshaping database architecture through disaggregation—separating compute, storage, and memory into independently scalable components. Examines three case studies: Google AlloyDB (PostgreSQL with compute-storage separation and HTAP support), Rockset (real-time analytics using the Aggregator-Leaf-Tailer pattern), and Nova-LSM (LSM-based storage with immutable SSTs in object stores). Discusses emerging hardware disaggregation including RDMA-based memory systems, CXL coherent memory fabrics, and DPU-based approaches. Highlights open challenges around automatic workload-driven assembly, co-design across fabrics, correctness verification, and adaptive reconfiguration.

Disaggregated Database Management Systems