Timely information on the current status of your High Performance Computing (HPC) environment helps system administrators improve decision-making, reduce costs and increase service levels.

Historical reporting products provide an excellent overview of past performance, but do you know how your clusters are performing right now? Platform RTM delivers timely information to effectively monitor and manage hosts, workloads, and license data in your Platform LSF environment. This helps system administrators improve decision-making, reduce costs and increase service levels.

Platform RTM is a product that delivers new value to your existing Platform LSF investment. It provides administrators a dashboard to monitor physical devices, application software functions, and individual job statistics on systems which use Platform LSF for workload management.

Platform RTM Datasheet:
Report, Track, and Monitor Platform LSF® Clusters

Originally Aired: July 26, 2007 10 AM Eastern / 3 PM GMT Speaker: David Torgersen, Pfizer 2 PM Eastern / 11AM Pacific   Speaker: Steve MacQuiddy, Cadence

How you can benefit from Platform RTM:

• Streamline Platform LSF cluster administration using dashboard and reports

• Increase user service level by quickly diagnosing and identifying issues

• Proactively manage Platform LSF clusters by understanding user workload

• Protect long-term investment with flexible customization tools for adding site-specific monitoring and reporting capabilities

Selected facts about Platform RTM:

• Tailored specifically to enhance your Platform LSF investment

• Comprehensive, intuitive dashboard to quickly track and diagnose issues before they affect service levels

• Drill-down capabilities to view details of hosts, jobs, queues, software license and user activities

• Instant alerts on job performance and cluster efficiency optimize usage and workloads

• Customizable graphs and charts to visually analyze resource usage, workload trends and job behavior

• Dashboard and reports improve Platform LSF administration efficiency and allow proactive management of Platform LSF clusters by understanding user’s workload

• Multiple data acquisition methods allow administrators to graphically see how any network-attached device is behaving and pinpoint problems on your servers and in your network