Database Agents in Microsoft Fabric help DBAs detect performance issues before users complain. Learn how proactive database monitoring changes everything.
What if your database could tell you about problems before your application team picks up the phone? In this episode of Data Exposed, Patrick LeBlanc joins Anna Hoffman to explore the new Database Agents experience in Microsoft Fabric. You'll see how Database Agents move database administration from a reactive model to a proactive, evidence-driven approach by automatically detecting blocking, query performance issues, resource pressure, plan regressions, and more. Patrick walks through the Database Hub experience, configuration requirements, issue detection, SSMS integration, and the long-term vision for intelligent agents that learn from DBA interactions over time. If you're managing SQL databases, working with Microsoft Fabric, or interested in AI-powered operations, this is a glimpse into the future of database management.
✅ Let's connect:
LinkedIn - Anna Hoffman, https://www.linkedin.com/in/amthomas46/
Twitter - AzureSQL, https://aka.ms/azuresqltw
LinkedIn - Patrick LeBlanc, guyinacube.com
🔴 Watch even more Data Exposed episodes: https://aka.ms/dataexposedyt
🔔 Subscribe to our channels for even more SQL tips:
Microsoft SQL / Azure SQL: https://aka.ms/msazuresqlyt
Microsoft SQL Server: https://aka.ms/mssqlserveryt
Microsoft Developer: https://aka.ms/microsoftdeveloperyt
✅ Chapters:
0:00 Intro and background
1:09 Historically, everything was very reactive when someone said the database was slow
2:08 Scenarios where it's really important and everything's fine and then it's not
3:19 Today the agent detects and recommends
3:47 Reference to Database Hub episode in resources
4:18 Demo of Database Agents
5:30 Turning it on and accepting/configuring
7:10 Opening into SSMS with context
7:45 GitHub Copilot in SSMS
8:10 All the information to play with
8:30 What is happening next?
9:43 Coming soon - special skills
11:00 Journey of reactive to proactive to autonomous
11:45 Building the brain of the agent with memory
#AzureSQL #SQL #LearnSQL
What if your database could tell you about problems before your application team picks up the phone? In this episode of Data Exposed, Patrick LeBlanc joins Anna Hoffman to explore the new Database Agents experience in Microsoft Fabric. You'll see how Database Agents move database administration from a reactive model to a proactive, evidence-driven approach by automatically detecting blocking, query performance issues, resource pressure, plan regressions, and more. Patrick walks through the Database Hub experience, configuration requirements, issue detection, SSMS integration, and the long-term vision for intelligent agents that learn from DBA interactions over time. If you're managing SQL databases, working with Microsoft Fabric, or interested in AI-powered operations, this is a glimpse into the future of database management.
✅ Let's connect:
LinkedIn - Anna Hoffman, https://www.linkedin.com/in/amthomas46/
Twitter - AzureSQL, https://aka.ms/azuresqltw
LinkedIn - Patrick LeBlanc, guyinacube.com
🔴 Watch even more Data Exposed episodes: https://aka.ms/dataexposedyt
🔔 Subscribe to our channels for even more SQL tips:
Microsoft SQL / Azure SQL: https://aka.ms/msazuresqlyt
Microsoft SQL Server: https://aka.ms/mssqlserveryt
Microsoft Developer: https://aka.ms/microsoftdeveloperyt
✅ Chapters:
0:00 Intro and background
1:09 Historically, everything was very reactive when someone said the database was slow
2:08 Scenarios where it's really important and everything's fine and then it's not
3:19 Today the agent detects and recommends
3:47 Reference to Database Hub episode in resources
4:18 Demo of Database Agents
5:30 Turning it on and accepting/configuring
7:10 Opening into SSMS with context
7:45 GitHub Copilot in SSMS
8:10 All the information to play with
8:30 What is happening next?
9:43 Coming soon - special skills
11:00 Journey of reactive to proactive to autonomous
11:45 Building the brain of the agent with memory
#AzureSQL #SQL #LearnSQL