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This topic provides answers to frequently asked questions about = performance and scalability.
If a high performance SAN, or equivalent, is used for data storage= , you should experience acceptable performance even if you double the defau= lt data retention (raw or condensed). If more than double the retention is = desired, BMC Software recommends that you only increase retention on the co= ndensed data (the impact is lower). BMC Software recommends that you retain= raw data for no more than 16 days and condensed data for no more than 1 ye= ar (365 days).
For data collection, we used 30 days for stats data and 90 days fo= r rate and baseline data.
You cannot connect to more than 10 remote cells at one time. Disco= nnect some cells and connect to the cells that you want to monitor.
On average, a BMC PATROL Agent collects 850 parameters. The number= of parameters might differ, depending on the specific monitoring solutions= that are loaded on the agent. These figures were tested on Windows and UNI= X computers.
The most common symptom of the load on the system exceeding capacity is =
that the analytical engine runs out of memory. If this occurs, OutOfM=
emory
exceptions are logged in one of the files that are located in =
the <installationDirectory>\pw\pron=
to\logs directory:
OutOfMemory
exception is caused by Rate or JServer =
processes, the log is in the ProactiveNet.log file.OutOfMemory
exception is caused by the agent contro=
ller process, the log is in the pronet_cntl.out file.You can increase the MaxHeap
value in one of the following =
files, located in the <installationDirectory>\pw\custom\conf directory:
The following list presents additional common issues that can arise when= capacity is exceeded:
OutOfMemory
exceptions logged, the system probably=
has an I/O issue. Check the I/O status by looking at the percentage of the=
disk that is busy (for example, the iostat cmd
on Solaris). I=
f the system consistently shows that over 30%, the system probably has an I=
/O issue.In general it depends on what you are trying to accomplish. For best per= formance, it is always better to have the agent that runs the adapter insta= lled in the same network as the server from which it is pulling data. This = ensures that the adapter calls (for example, web service and database queri= es) do not have latency issues. The BMC TrueSight Infrastructure Management= Server and Agent connection bundles up the data more efficiently, which cr= eates better cross network traffic.
It is possible to use one large adapter to pull in data from a Infrastru= cture Management application, but there are times when it is better to use = multiple adapters across one (or many) local agents. If you use separate ad= apters for different application types, you can set different polling inter= vals for the high priority applications (this allows more scaling in the en= d). You could also do this for different application instances, as well (no= t just for application types).
For the analytical engine to perform all of the tasks quickly, the major= ity of the data it operates on is cached in memory. Keep in mind that basel= ine and abnormality generation requires resources beyond basic monitoring. = To perform baselining and abnormality generation more quickly, more memory = is consumed.
Clustering provides continued operation in the event of a failure. It do= es not address performance. The provided scale estimates represent the mini= mum number of computers required to support a given workload.
A clustered environment requires additional computers so that, in the ca= se of a failure, functionality continues to operate. Use the scale estimate= s to ensure that the failover environment will operate as expected.
No, in a controlled lab for a large environment, BMC can scale up = to only 200,000 metrics.