![]() If you can establish this pattern, then you might be able to determine where this pattern first occurs (ie: which hop or combination of hops) - which can help you understand what's causing the problem, and who to complain to. That happens when performance problems occur. Your mission here is to locate a pattern, recognizable in the PingPlotter graph of the final destination, Sometimes, this might take multiple days to get both - just keep PingPlotter running constantly (see our knowledge base for tips on long-term monitoring). Ideally, you'll have some periods where there were no problems and some periods where there were problems. When (and if) you experience a problem, switch over to PingPlotter and create a comment for the time period it happened (See the 'Creating a comment or note' in our Getting Started Guide for instructions on how to do this).Īs you run into more problems, continue to collect information and create comments. Now, go about your business doing whatever you normally do. When you're expecting to experience a problem, start PingPlotter and trace to the target of the service you'll be using (example: if you're going to be using telnet to access your remote web server, run PingPlotter against that server). ![]() See the problem here?', that can be a call to action for them, rather than just a random data point. Look at this PingPlotter data I collected during one session. ![]() If you can say ' I normally play X game in the evening, but I keep getting disconnected. PingPlotter data, by itself, can often help track down problems, but most providers need you to complain about some real service problems before they will act on it. Ideally, you're looking to correlate a performance problem in some other application (i.e.: web, online game, stock trading, telnet, etc.) with graphical data in PingPlotter. What kind of conditions should I be looking for in PingPlotter? I get occasional timeouts in applications I'm using - how do I know what's causing those problems? ![]()
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