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How Often Should Boost Update All RRDs
When boost sends update commands to RRDtool, it must not exceed the operating systems Maximum Argument Length. This varies by operating system and kernel level. For example: Windows 2000 <= 2048, FreeBSD <= 65535, Linux 2.6.22-- <= 131072, Linux 2.6.23++ unlimited
The maximum amount of memory for the Cacti Poller and Boosts Poller
If the boost poller exceeds this runtime, a warning will be placed in the cacti log,
Boost Debug Log
If this field is non-blank, Boost will log RRDUpdate output from the boost poller process.
Image Caching
Data Collection Method
Data Source Statistics can use a legacy method where it will determine peak and average values, or an advanced mode which will calculated several additional statistical values in addition to peak and average. Using All Statistical Metrics can place additional CPU and IO load on the system.
Peak/Average Only
All Statistical Metrics
Calculate Peaks Stats in Addition to Average Stats
This option will double the data collection time. If will use the MAX consolidation function and calculate statistics from the max values in each of the respective time ranges.
The number of consecutive hours that represent the hourly average. Keep in mind that a setting too high can result in very large memory tables
What time of day should Weekly, Monthly, and Yearly Data be updated? Format is HH:MM [am/pm]
The maximum amount of memory for the Cacti Poller and Data Source Statistics Poller
Data Source Retention Settings
Save Historical Data in Database Tables
Check this setting in order to keep a table for each day, week, month, and year data. The times that these tables will be created will be based upon the following formula: Daily - One partition per day, Weekly - One Partition per Week, Monthly - One partition per Month, Yearly - One Partition per Year. All tables will have the following suffixes by type Daily: YYYYDDD, Weekly: YYYYWW, Monthly: YYYYMM, and Yearly: YYYY suffixes.
Daily Partition Retention