BMC TrueSight Capacity Optimization components are designed to enable you to scale the BMC TrueSight Capacity Optimization infrastructure to manage environments with varying numbers of managed systems, data feeds, reports, and users, and amounts of historical data.
The following figure shows the major sizing drivers for each BMC TrueSight Capacity Optimization component:
BMC TrueSight Capacity Optimization sizing drivers
A major sizing driver for the BMC TrueSight Capacity Optimization infrastructure is the required throughput for processing collected samples. One BMC TrueSight Capacity Optimization unit refers to one million samples per day. For example, 20 million samples per day are also referred to as 20 BMC TrueSight Capacity Optimization units.
The following table shows how to translate the number of managed entities, metrics, and time granularity of the samples into the number of samples per day.
Number of managed entities
Average number of metrics per entity
Time granularity of the samples
Samples for 24 hours
An entity is a managed system or device whose performance data is collected, such as a physical stand-alone server, a partition on a server, a virtual server, a database instance, a storage element, or a network element.
The preceding table does not take into account business driver metrics. Estimate the number of business driver metric samples that have to be processed on a daily basis as 10% of the overall managed entity metric samples per day.
The following topics describe guidelines and recommendations for sizing each BMC TrueSight Capacity Optimization component, based on average utilization scenarios. All sizing values are provided as general guidance.
Contact Customer Support for assistance in sizing BMC TrueSight Capacity Optimization.
The following figure shows BMC TrueSight Capacity Optimization deployment sizes according to the two major sizing drivers: the number of managed entities and the number of samples to process.
Note the following information:
The current compatibility offering for the PostgreSQL database supports only small/medium environments handling up to 25 million records per day.