tl;dr:Jack delves into the evolving landscape of serverless, multi-tenant data architectures. He highlights the increasing prevalence of these systems, such as Google’s BigQuery and Amazon’s DynamoDB, and their diverse implementations across various workloads. The article discusses common patterns like disaggregated architectures, where storage and compute are separated, and the challenges of balancing resource sharing with tenant isolation. Jack also explores the nuances of managing heat (load balancing) and achieving high resource utilization in these systems, emphasizing the importance of efficient hardware use while maintaining solid performance and isolation.