Operations | Monitoring | ITSM | DevOps | Cloud

This webinar covers what's new and coming in Redgate Monitor: AI with Redgate Assistant and the Redgate Monitor MCP server, CIS benchmark compliance checks and security alerting (Enterprise), AWS cloud migration advice for SQL Server workloads, and the roadmap into 2027. Redgate Monitor has shipped a lot this year, and there's more landing before the end of it. This session walks through what's new, what's coming over the next few months and into 2027, and what it all means for how you run your estate. Roadmap items are current direction, not commitments.

Redgate Monitor is a multi-platform database monitoring tool, not a SQL Server only tool. It monitors SQL Server, PostgreSQL, Oracle, MySQL and MongoDB from a single dashboard, on premises or in the cloud. This demo shows SQL Server, PostgreSQL and Oracle instances in the Redgate Monitor live demo environment.

Engineering teams' time and money are often drained by mismatched tooling and poor habits, among other things. The Redgate Advocates share their own stories of this in reality - from a mysterious 47-second retry, to the one 'rogue' engineer who derails a team. They also discuss how to get everyone pulling in the same direction without forcing everything to be identical, and whether AI helps or hurts.

AI budgets are escalating rapidly, yet few teams measure the value of their spend – and who ends up paying, anyway? The Redgate Advocates discuss that, LLMs, data centers, regulation, what happens to the next generation of engineers if they never learn to solve problems the hard way – and more.

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.