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 chott@praha1.net | Metropolitní sí» Praha 1 z.s.p.o.
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