SQL Server Radio

SQL Server Radio is a show about SQL Server, Azure SQL, and the changing tooling around the Microsoft data platform. Its center of gravity is real operational judgment. Guy Glantzer and Eitan Blumen take new announcements seriously, but they rarely treat them as simple upgrades. A feature such as Automatic Index Compaction becomes a discussion about page density, background maintenance, index rebuild habits, and the overlooked side effect of losing statistics updates from an existing job. That is the show at its best. A small detail turns into a production question. Recent episodes move through Azure SQL Database, Managed Instance, SQL Database in Fabric, SSMS previews, SQL database projects, and database DevOps tooling. They also spend time on the stubborn problems that show up inside customer systems. One memorable thread explains how a many-core virtual machine running SQL Server Standard Edition can effectively behave like a four-core server because of socket configuration. The point is not just trivia. It is a reminder to check what SQL Server actually sees, not what the infrastructure diagram says. The show has room for experiments too. Matan Jungman appears for a detailed look at Rapido, a tool that rewrites SQL queries and compares result sets through row counts and hashes. That conversation folds performance gains, education, and trust in automated rewrites into one practical topic. Other episodes look at computed columns, persisted storage, indexed expressions, application-level locking patterns, SSMS color changes, and Managed Instance storage controls. The pacing is casual. The subject matter is not. The speakers joke, repeat each other, wander briefly, and then come back to the technical consequence that matters. SQL Server Radio suits people who maintain databases, tune queries, evaluate Microsoft previews, or simply enjoy hearing experienced data people reason out loud. It is not a beginner glossary. It is a shop-floor conversation for listeners who already care about execution plans, IOPS, statistics, licensing limits, and the strange ways production systems reveal the truth.