For your comparison, my installation shows as follows:

 

Statistics

DB size	2.31GB	RRD size	29.7GB
Devices	762	Ports	9863
IPv4 Addresses	1641	IPv4 Networks	227
IPv6 Addresses	53	IPv6 Networks	19
Services	0	Applications	78
Processors	658	Memory pools	553
Storage Entries	380	Disk I/O Entries	303
HR-MIB Entries	2850	Entity-MIB Entries	12279
Syslog Entries	6053897	Eventlog Entries	788703
Sensors	3574	Printer Supplies	15
Netscaler VServers	0	Netscaler Services	0
Virtual Machines	69	IP SLAs	19

 

 

My observium VM has 8 3.16GHz cores, 16GB of RAM, and the ESX datastore is using a NFS partition on a ZFS array of several 750GB SATA disks with an Intel 750 NVMe SSD acting as the SLOG for the array. I have the poller wrapper configured for 32 threads and on average, it takes roughly 92 seconds to complete the polling of all 762 devices.  I didn’t have to do any special performance tuning other than the increased poller threads in order to keep the polling time well under 300 seconds.

 

The greatest performance increase I had gained over a year ago was when I had changed the ESX datastore from iSCSI to NFS, and adding the very fast ZFS SLOG device.

 

…Ron

 

From: observium [mailto:observium-bounces@observium.org] On Behalf Of chott@praha1.net
Sent: Sunday, February 19, 2017 1:11 PM
To: observium@observium.org
Subject: [Observium] Observium tunning

 

Hello team

what is best solution for tunning performance

like different Hardrive for MySQL/RRD and System?

What about performance SSD Raid or RAM Disk?


We are using VMware, with iSCSI SAS and SSD , for System SAS drive for RRD/MySQL two drive from SSD Raid

any idea? like HW Raid without iSCSI?

Now we have more than 500 devices, 4000 ports and 3000 sensors

Tom

 

 

Tomas Chott technický ředitel chott@praha1.net Phone: +420 245 004 005 Mobile: +420 733 123 135	Metropolitní síť Praha 1 z.s.p.o. Jindrisska 18 110 00 Praha 1 Czech Republic www.praha1.net