Speaking at WV SQL User Group on August 25th

I look forward to giving my Evaluate your Daily Checklist against your SQL Enterprise with PBM and CMS presentation at the WV SQL Server User Group in Wheeling, WV on August 25th at the Orrick Building.
You can still sign up and registration is free.  In fact, everyone is a winner because there will be free pizza and every user group attendees knows there is no better prize than free pizza!


You will walk away from this session with an understanding of how to use the Policy Based Management and Central Management Server to complete a daily checklist against your whole SQL Server farm. We will cover the basics to evaluate, monitor and apply best practice policies, which are included out of the box with SQL Server 2008. We will also make custom policies to cover additional best practices to evaluate daily checklist items. Finally, we will combine Policy-Based Management and Central Management Server with the Enterprise Policy Management Framework on codeplex to automate the monitoring process and create manager friendly reports to monitor your checklist items against the whole SQL Server farm.

Session goals include:
  • You will be able to install, configure and run scripts against the Central Management Server
  • You will be able to use Central Management Server and/or Policy-Based Management to complete a daily checklist
  • You will be able to evaluate and build custom policies.

John Sterrett is a database administrator at Remote DBA Experts and a member of the Integrations team. John has been active within the SQL Server community, including hosting the first and second annual SQL Saturday in West Virginia. John also presented a lightning talk and chalk-talk at the SQL Server 2010 Member Summit, presented sessions at three SQL Saturday’s, and presented to the Pittsburgh SQL Server User Group. John is a syndicated blogger at SQLServerPedia and contributes tips at MSSQLTIPS. You can find his blog at www.johnsterrett.com

Leave a Reply

Your email address will not be published.

This site uses Akismet to reduce spam. Learn how your comment data is processed.