
Breakout Session · 12:00 PM–12:45 PM · Room 3
JAMS is proud to support the SQL community by sponsoring this gathering of 300 SQL professionals for a day of learning and connection.
JAMS VP of Support and Services, Louis Diaz, will present an insightful session on SQL Server’s Alerting Blind Spot: Automating Jobs, Deployments, and Incident Response.
Duration: 45 minutes
Level: Intermediate
Suggested track/category: Database Administration / DevOps
Abstract
SQL Server can run your jobs, but it will not tell you when they silently fail at 2 a.m., and it will not deploy your scripts consistently from dev to QA to production. This session tackles both problems head-on.
We’ll start with JAMS Scheduler basics: centralizing job scheduling beyond SQL Server Agent, orchestrating OS-level tasks alongside your database jobs, and deploying parameterized SQL scripts across environments without hardcoding connection strings for every server.
Then we’ll turn to the part most SQL Server shops still handle badly: alerting. You’ll see how JAMS Incident Management closes the gap between “the job failed” and “someone on call actually knows about it,” with policy-driven escalation across voice, SMS, Teams, Slack, and more.
Finally, we’ll look at how JAX, JAMS’s AI agent, lets non-SQL teammates like support and operations staff check job status and incident history in plain language, without needing to open SQL Server Management Studio.
If you have ever found out about a failed job from an angry email instead of an alert, this session is for you.

Louis Diaz
VP of Support and Services, JAMS Software
Louis Diaz is Vice President of Support and Services at JAMS Software, and a workload automation and job scheduling expert. He works across solution identification, implementation, user training, and enterprise planning, helping organizations resolve automation gaps and run more efficiently. Louis co-authored the JAMS University training curriculum and has presented on automation at events including SQL Saturday, Ellucian Live, and JD Edwards INFOCUS.



