Performance management is an essential step towards controlling performance and cost.  Nevertheless, the continuous evolution of IT infrastructure (new users, too much data) combined with the new system complexity (virtualization)  makes it increasingly difficult.  In this changing context, real-time monitoring is no longer enough to ensure that data center functioning is continuous and efficient.  What is needed is the ability to identify trends and determine the causes of incidents, requiring historical data.  This data can create resource utilization profiles by application, server, user or process.

Major Difficulties Include:

• Lack of visibility on the daily activity profile for a given application
• Not knowing how many users were logged onto the system at a particular date and time
• No knowledge as to what time of day demand is low enough to run batches 

How to React

Analysis and diagnosis of system performance consists of extracting the rich data housed in a historical database during monitoring.   This facilitates understanding IT system activity and uses findings to ensure immediatly error identification.

• Investigation of the error's causes
• Understanding the problem 
• Effective corrective action for the error

A solution such as Sysload's to guarantee: 

1. Immediate incident detection and notification. 
2. Root-cause analysis and fast troubleshooting.
3. Measurement of the impact of applications/workloads on system availability
4. Measurement of the impact of virtual machines on physical resources
5. Calculation of “baselines” and long-term trends on servers and applications

Why Sysload?

Sysload performs analyses in record time and provides continuous in-depth expertise. SP Analyst, its signature product, relies on fine-grained data collected by its agents to enable analysis which is objective and truly pertinent. The product offers any user, expert or not, great potential for in-depth analysis, data correlation and error diagnosis in a heterogeneous environment. 

• Analysis of a complex server groups without requiring additional expertise
• Significant time savings throughout the automatic diagnostic process
• Easy to use and deploy :  get immediate results in less than 15 minutes with no additional services required
• Deep, granular monitoring across AIX, Solaris, HP-UX, Windows, Linux, Novell, VMware and many others
• Extremely light footprint (less than 1%CPU) and no network traffic
• Solution scalable to an unlimited number of servers
• Logical performance extension to your current solution (IBM, CA, MS, BMC, HP, ...)