Sizing and scalability considerations

TrueSight Capacity Optimization components are designed to enable you to scale the TrueSight Capacity Optimization infrastructure to manage environments with varying numbers of managed systems, data feeds, reports, users, and amounts of historical data.

Important

This topic provides general sizing and scalability guidelines. Contact the BMC Customer Support for your sizing requirements.

Sizing drivers

The following figure shows the major sizing drivers for each TrueSight Capacity Optimization component:

TrueSight Capacity Optimization sizing drivers

A major sizing driver for the TrueSight Capacity Optimization infrastructure is the required throughput for processing collected samples. One TrueSight Capacity Optimization unit refers to one million samples per day. For example, 20 million samples per day are also referred to as 20 TrueSight Capacity Optimization units.

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 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

1,250401 hour1.25 million
2,500401 hour2.5 million
5,000401 hour5 million

1,250

40

15 minutes

5 million

2,500

40

15 minutes

10 million

5,000

40

15 minutes

20 million

Note

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 TrueSight Capacity Optimization component, based on average utilization scenarios. All sizing values are provided as general guidance.

Deployment size

The following table shows TrueSight Capacity Optimization deployment sizes according to these two major sizing drivers:

  • number of managed entities 
  • number of samples to process

Small

Medium

Large

X-Large

XX-Large

<= 20 M rows

<= 40 M rows

<= 80 M rows

<= 160 M rows

<= 600 M rows

Oracle

4 cores

8 GB RAM

4 cores

16 GB RAM

8 cores

32 GB RAM

16 cores

64 GB RAM

64 cores

128 RAM

Postgres

6 cores

12 GB RAM

12 cores

24 GB RAM

24 cores

48 GB RAM

N/A

N/A

Data Hub1

4 cores

8 GB RAM

4 cores

8 GB RAM

4 cores

16 GB RAM

8 cores

32 GB RAM

32 cores

128 GB RAM

1 - A deployment can have only one Data Hub.  

  • The table provides basic guidelines and does not represent the complete range of scalability options. Contact the BMC Customer Support for your sizing requirements.
  • These deployments are based on average utilization and default aging policies.
  • The current compatibility offering for the PostgreSQL database supports large environments that can handle <= 80 million records per day with the right resource allocation.
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