Correlate

Table of Contents

Overview

The Correlate tool is a canvas to create and build a view of the important components you need to keep an eye on, all on the same graph. This allows you to visualize all your data in the same context.

First, you search for any number of Process Groups, Servers, Polled Data, Logs, and StatsD metrics you want to visualize (either type a server name, for example, in the search box or scroll through them all). There is not a limit on how many components you can visualize on the same graph.

*Note: Components must be selected consecutively. After a component has been chosen, the graph will reload. To add an additional component, just click in the search bar.

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Once you have selected the components, you can select which resources of those components to visualize (CPU, Memory, Network Connections, etc.). Simply click “add” next to the desired resource to add it to the graph.

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Once you identify a point in the graph that you want to drill into (each point represents one minute), simply click on it, and a list of all the running processes at that minute will be displayed below the graph. You can sort by any resource to help identify an issue.

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You can even click on individual processes to add them to the above graph. This allows you to see how that process has performed over time.

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Along with the list of processes, the table provides you with more of the following detailed data:

  • Sockets (for Process Groups): SocketPeer IP, Socket IP, Data Sent, Time Open (sec), Peer Port, Data Received (bytes), Thread ID, Socket Port, Type, Number of Responses, Total Response Time (ms), Status, From (which Process Group)
  • Threads (for Process Groups): Thread ID, User Time (us), Exit Time, Kernel Time (us), Stack Size (bytes), Create Time, From (which Application)
  • Files (for Process Groups)
  • Registries (for Windows Performance Counters)
  • Logs
  • Polled Data: Any Nagios/JMX plugin messages
  • Alerts
  • StatsD Messages

Choosing A Date/Time Range

There are two ways you can select the time period you want to visualize. Above the graph, you can input the date range you want to look at. Below the graph, you can use the slider to expand or shorten the time range within the selected date range. You can also drag the time range left and right to view that time range across the whole date range.

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