Getting to Problem Resolution

We all know we need to find and solve problems before our customers are affected. However, we have all been conditioned to accept significant limitations, all of which stems from incomplete information.

Why do we live with incomplete information?

• The more information we gather, the more of an adverse affect it has on our production systems.
• The more information we have, the harder it is to find the important pieces.

The effect of incomplete information

We are forced into a compromise where we sacrifice details and visibility which leads to one of two things:

• Something goes wrong and you don’t know about it before your users.
• You know something is wrong but you can’t figure out where it’s coming from without an exhaustive process of elimination and inferences in areas where you lack detail.

The Solution

At AppFirst we work hard to remove the limitations due to incomplete information. We:

• Gather data for every component in your stack and all language runtime environments without impacting your production systems. We call this "miss nothing" data collection.
• Utilize information gathered from Nagios, Windows Performance Counters, log files and OS interfaces to correlate with “miss nothing” data in order to provide views in a specific context. We call this polled data since the information is gathered on intervals.
• Present data clearly and simply to help you easily identify problems and patterns.

The combination of a complete data set representing all elements of all of your applications, regardless of component type or language, along with the means to correlate that data within a specific context is the most powerful and effective server and application monitoring solution available anywhere. The limitations have been removed.