Why Performance logs are most useful when they include several days (or more) of data?

asked on September 21, 2016

Hi all,

I have a question from my customer on performance logs.

Performance logs are most useful when they include several days (or more) of data?

Are system issues are more likely to arise after the first day of monitoring? Or, does it ensure that the log accurately reflects normal system use patterns? Or, does a large sample size minimise the impact of anomalous days on the current data? Or, do performance counters collect data every other day?

After some research, the log will reflect the normal system use patterns and the performance counters will collect data on each day. Please confirm whether the answers are correct.

Thanks

Sheila

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replied on September 22, 2016

Please quote the customer's questions next time to distinguish them from your own questions/replies for better readability.

Performance counters are usually run to establish normal usage patterns before looking at them to predict growth or pinpoint problems. If your users work every day, then you'd want to have the usage pattern for every day, therefore you'd be running performance counters every day. Similarly, user behavior can change throughout the week, so a single day may not give you an accurate picture of usage.

Once you've established a normal usage pattern, you want to run performance counters to monitor activity in order to predict system needs. You can use them to plan hardware and software upgrades as well as user license purchases.

System issues are not more likely to arise on the first day of monitoring as monitoring does not impact system usage.

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Why Performance logs are most useful when they include several days (or more) of data?

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