Operations | Monitoring | ITSM | DevOps | Cloud

You wouldn’t ship untested SQL Server database changes – Why is Databricks different? Databricks is where the data estate is growing, and increasingly where AI workloads run and generate change. But schema change there still happens the hard way: views and stored procedures managed through manually versioned scripts, drift between workspaces discovered when a deployment fails, and no reliable record of what changed, when, where, or why. As AI raises the volume and speed of schema change, these gaps widen.

Heidi Hasting joins host Kellyn Gorman for a chat featuring Microsoft Fabric, real-time intelligence, and a permissions trap that hands your data to a coworker's chatbot...Also: what MVP status really means, and where you should visit in South Australia (snakes included)!

Redgate Monitor is a database performance and security monitoring tool covering SQL Server, PostgreSQL, MySQL, Oracle, and cloud platforms including AWS, Azure, and Google Cloud SQL. This session walks through Redgate Monitor's latest releases and roadmap: cloud cost tracking, Google Cloud SQL support, expanded Postgres diagnostics, permission-change security alerting, CIS benchmark compliance, and a new MCP server and chat assistant for AI-powered workflows.

In this webinar, Redgate solution engineer Laura Copeland talks with Chris Yates, SVP of Data and Architecture at a large financial institution, about what separates a good database monitoring vendor from a bad one. His experience with Redgate Monitor runs through the whole conversation.

Pat Wright sits down with PostgreSQL veteran Hari Kiran – founder of OpenSource DB and co-organizer of PG Day Hyderabad, where this episode was recorded. They talk community building, mentoring the next generation of PostgreSQL contributors, and how a coffee chat with a friend turned into one of India’s biggest PostgreSQL events.

This session walks SQL Server developers through a complete database development workflow, from designing schema changes to testing and deploying them safely, using SQL Toolbelt Essentials. Most database teams don't struggle with SQL itself. The friction comes from process: schema changes made without a clear picture of what's already there, inconsistent code quality across a team, databases left outside version control, and deployments that feel riskier than they should. This session covers all four, with a live demo in SSMS for each one.

AI can write database schema changes in seconds, but nothing should reach production until it's validated, tested, and approved. In this discussion, Ken Muse (GitHub), Steve Jones (Redgate), and Huxley Kendall (Redgate) show how a governed pipeline keeps AI-generated database changes safe without slowing teams down.