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Master the future by analyzing the past
For a System Administrator, determining the cause of a system
incident is often like looking for a needle in a haystack. And besides,
there is rarely a single cause. Incidents are often the result of a combination
of several minor malfunctions... Yet how can incidents be prevented in
the future if we don’t know why they occurred in the past?
Loan System is now revolutionizing System Administration
with Sysload Advanced Expert System (AES). Sysload AES uses artificial
intelligence to indicate the real causes of all the malfunctions on all
your systems in just a few instants. |
Get the knowledge of experts
Each platform has its own specific characteristics. Thus
the inference rules used by Sysload AES are specific to each environment.
With Sysload AES, the experts at Loan System have put their
ten years of experience in performance management for numerous systems
and databases at the disposal of all System Administrators. |
Dynamic modeling
Ever since distributed computer systems came of age, they have been changing
constantly to meet production requirements.
Sysload AES, a learning-based expert system, models the information system dynamically and continually
updates its inference rules to analyze the real configuration of your
environment, at any time. |
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Traditional performance management software |
Sysload |
Historical data |
Centralized and intermittent |
Decentralized and continuous |
Type of modeling |
None |
Dynamic |
Sysload AES makes the most of the power and modularity of Sysload's
unique decentralized architecture. |
State of the art technology
 
The Sysload AES inference engine is based on CLIPS,
a language developed by NASA.
This language features such advanced functions as truth maintenance, dynamic
rule addition and customizable conflict resolution strategies.
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Automate analysis
Analyzing a system involves detecting abnormal variations in key parameters.
For lack of time, an Administrator is often forced to analyze only one
machine in detail, or to perform only a partial analysis of all servers. |
Number of graphs that must be studied to perform |
on 1 server |
on 100 servers |
an analysis of one parameter |
1 |
100 |
a detailed analysis |
200 |
20 000 |
Even if he had the time to examine all the parameters in the information
system, his conclusions would undoubtedly be obsolete by the time he completed
his study! |
Average time spent looking for the cause of a malfunction |
System Engineer |
Sysload AES |
of one machine |
2 days |
a few minutes |
of over 100 machines |
impossible |
a few hours |
Display custom reports
Sysload AES presents in the form of detailed or synthesized reports the
malfunctions that occurred on all types of servers in the network over
a period of several hours, days or months.
You can thus see at a glance the state of the information system, and
then filter incidents according to their levels of seriousness. Then,
examine the origin of incidents that affected quality of service, or all
incidents that occurred on all servers without exception. |
A constantly evolving solution
Sysload AES can now automate the analysis of all the parameters
of all your systems, server by server.
In the near future, Sysload AES will detect the causes of incidents
that involve several servers and point out recurring incidents.
Sysload AES will also create alert triggering conditions adapted
to your environment. |
The 1,2,3 way to diagnose system incidents
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- Use the Sysload user-friendly interface to select servers and launch
the analysis.
- See at a glance the number and seriousness
of incidents occurring on your entire environment over one hour, one
week, or several months.
- Examine incidents and their causes in detail.
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