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How IT Directors Can Manage and Protect A Hybrid Cloud Environment with Foglight Evolve
A hybrid cloud environment can be complicated, and infrastructure costs can get inflated if not properly managed. Learn how to avoid common mistakes, maximize performance, and simplify your hybrid data center by downloading this infographic.
Infographic Topics:
- Simplifying Cloud migration
- Optimizing workloads
- Developing risk and fix strategy
- Monitoring your environment
- Streamlining operations
- Quest Foglight® Evolve™ solution
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The Monthly Mentor - featuring Pinal Dave (SQL Authority): Secrets to Keep your Database Running at Optimal Speed
Struggling with a slow SQL server? Learn how to increase performance response time with our troubleshooting tips.
Quest Partner Webcast FY21 Q2 EMEA
Quest has the technology solutions your customers need to connect, manage and secure a remote workforce.
Quest Partner Update FY21
Recent events have forced governments to enact social distancing measures and business closures that have disrupted daily life and work.
Overcoming the Top Four Challenges for Virtualized Environments
This tech brief explores how Foglight for Virtualization can help you get the most from your Hyper-V investment and overcome four key challenges that affect any virtualized environment.
Database monitoring webinar: Discover Foglight Cloud
Get an exclusive look at Foglight® Cloud by Quest®, your all-in-one managed database monitoring solution that merges the power of Foglight® for Databases and Foglight® Evolve.
Performance Monitoring and Capacity Planning, Simplified
Download this tech brief to explore ways to simplify IT perofrmance monitoring and capacity planning.
Leave Nothing Behind: Azure Cloud Migration Done Right
Cloud migration sounds easy in theory, but when you get into the planning and actual process of migration, it can get out of control quickly.
Powering Modern Applications
Are you under pressure to enable greater efficiency, agility and innovation? To meet these goals, we must look beyond traditional approaches to data management that can no longer keep up with growing data demands.