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This section includes the following topics:•    About

  • About the Statistics tab

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  • How the Statistics tab is structured

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  • About the entities you can examine

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  • How the Statistics tab can help you identify performance problems

About the Statistics tab

The Statistics tab displays statistical information on the behavior of your applications Web instances with respect to the Web server. This statistical information can be used to identify and analyze the cause of a performance problem, especially with respect to the server side. It can also help you make future tuning decisions regarding your Web servers.

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When you drill down to another entity, the following are displayed:•    The

  • The Tab heading displays the new selection

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  • The Association area displays the statistics counters that were collected for the selected instance

The Association area displays all the Performance counters collected for the selected instance. The table displays the performance counter name and value. This list can differ to reflect the specific information relevant to your systems configuration type.

NOTE    To gain a better understanding of the processes involved and better tune and improve your Web server's performance, see the counters explanation provided by your specific Web servers documentation. 

From the Association area, you can click the row for the performance counter to view detailed information for the selected counter. The Tab heading indicates the newly selected entity, and the Main area displays an overtime graph for the performance counter you drilled down to.

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The following entities are available in the Statistics tab:•    About

  • About the Tier entity

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  • About the Instance entity

•    About About the Performance Counter entity

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The Load view displays the following graphs:•    Requests

  • Requests

It displays the amount of Web server requests logged within the selected time frame.•    Concurrent

  • Concurrent Connections

It displays the current number of connections to the service within the selected time frame. You can associate an Tier with instances.

The table below describes the information that is displayed in the table, in the Association area, for instances associated with the Tier.

Table 5-1    Association 1 Association area table information

Table Column    Description

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Cache Hit Ratio    The percentage of total requests that were serviced form the Web server output cache.

 

NOTE    These column headings are derived from counter names. To gain a better understanding of the processes involved and to better tune and improve your Web server's performance, see the counters explanation provided by your specific Web server’s documentation. 

About the Instance entity

You can view Instance level information by performing any of the following options:•    In

  • In the Association area of the Statistics tab, drill down to a specific instance by clicking the relevant table row.

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  • In another tab, drill down to a specific instance and click Statistics on the Precise Tab Selection bar.

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  • In the All Instances table of the Dashboard tab, select an instance and click Statistics on the Precise Tab Selection bar.

The Instance entity displays information on the most important performance counters. The Instance entity provides the following views:•    About

  • About the overview for an instance

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  • About CPU utilization for an instance

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  • About instance memory information

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  • About instance load information

The Association area displays all performance counters collected for the selected instance. The table displays the name and value for each performance counter. The listed counters can differ to reflect the specific information relevant to your systems configuration type.

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The table below describes the relevant counters

Table 5-2    Common 2 Common statistical counters

Counter    Description

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Access Count    The total amount of HTTP requests logged for the instance within the selected time frame.Table 5-2    Common statistical counters

Counter    Description

Concurrent Connections    The number of current connections to the service. This is the sum of both non-anonymous (authenticated) and anonymous (unauthenticated) users. If this number has reached or is approaching the maximum number of connections allowed, the Web service is running at full capacity.

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The View control drop-down menu, in the Main area, lets you choose different view options for your selections. You can identify a performance problem by doing one or more of the following:•    Examining

  • Examining memory statistics

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  • Examining CPU utilization statistics

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  • Examining load

Examining memory statistics

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To examine memory statistics1.    In

  1. In the Time Frame list, choose the period of time you want to analyze.

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  1. On the View controls in the Main area, click Overview and analyze the graph for requests to determine whether paging is the source of the performance problems.
    If you conclude that excessive paging is the source of the performance problems, examine the amount of memory allocated to the Web server and reduce it, if necessary.

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  1. On the View controls in the Main area, click Memory.

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  1. In the Association area, drill down to the available pages and performance counters to analyze memory usage.

Examining CPU utilization statistics

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To examine CPU utilization statistics1.    In

  1. In the Time Frame list, choose the period of time you want to analyze.

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  1. On the View controls in the Main area, click Overview and analyze the graph to determine whether CPU usage is the source of the performance problems.
    If you conclude that high CPU usage is the source of the performance problems, consider adding more CPU or tuning the application in the Activity tab.

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  1. On the View controls in the Main area, click CPU Utilization.
    Examine the graph to determine whether a high level of CPU utilization is causing processor bottlenecks.

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  1. On the Association controls in the Association area, click a counter and check the results.

 

Examining load

You can examine Web load activity and performance within a selected time frame. A high load may indicate the need to distribute the work activity to enhance performance.

To examine load1.    In

  1. In the Time Frame list, choose the period of time you want to analyze.

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  1. On the View controls in the Main area, click Overview and analyze the graphs to determine whether excessive load is the source of the performance problems.

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  1. On the View controls in the Main area, click Load.
    The Load view displays requests and concurrent connections. Compare these graphs to determine where most of the activity is being generated.

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  1. On the Association controls in the Association area, click a counter and check the results.

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