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There are lots of factors that determine the system health of a server. The hardware capabilities - CPU, memory or disk - is an important one, but also the server load - number of devices (Nodes to be polled, updated, audited, synchronised), number of products (NMIS, OAE, opCharts, opHA - each running different processes), number of concurrent users. 

We all want the best performance for a server, and to optimise physical resources, our configuration has to be fine-grained adjusted. In this guide you will find recommended parameters, that may not suit in all cases, as a server performance will depend on a lot of factors. 

Related Articles

Opmantek Applications

This article configurations are related to Opmantek products. opCharts, opEvents, opConfig, opHA, opReports, ... all use the omkd daemon which servers the frontend requests. Also, opEvents, opCharts and opConfig have their own daemons. 

Before Start

The first thing to do will be get the information of our system:

  • System Information: NMIS and OMK support tool will give us all the information needed.
  • Monitor services: NMIS can monitor the involved processes - apache2, nmis9d, omkd and mongod - and provide useful information about CPU and memory - among others. 

Configuration items

In low memory environments lowering the number of omkd workers provides the biggest improvement in stability, even more than tuning mongod.conf does. The default value is 10, but in an environment with low users concurrency it can be decreased to 3-5.

omkd_workers

Setting also omkd_max_requests, will help to have the threads restart gracefully before they get too big. 

omkd_max_requests

Process size safety limiter: if a max is configured and it's >= 256 mb and we're on linux, then run a process size check every 15 s and gracefully shut down the worker if over size.

omkd_max_memory

Process maximum number of concurrent connections, defaults to 1000:

omkd_max_clients

The performance logs are really useful for debugging purposes, but they also can affect performance. So, it is recommended to turn them off when they are not necessary: 

omkd_performance_logs => false

MongoDB memory usage

MongoDB, in its default configuration, will use will use the larger of either 256 MB or ½ of (ram – 1 GB) for its cache size.

MongoDB cache size can be changed by adding the cacheSizeGB argument to the /etc/mongod.conf configuration file, as shown below.

storage:
  dbPath: /var/lib/mongodb
  journal:
    enabled: true
  wiredTiger:
      engineConfig:
         cacheSizeGB: 1

Here is an interesting information regarding how MongoDB reserves memory for internal cache and WiredTiger, the underneath technology. Also some adjustment that can be done: https://dba.stackexchange.com/questions/148395/mongodb-using-too-much-memory

Server examples

Two servers are compared in this section.

  • Primary only have one node, but more than 400 poller nodes. opHA process is what will require more CPU and memory usage. 
  • Poller have more more than 500 nodes. nmis process will require more CPU and memory, for polling the information for all the nodes. 

Stressed system POLLER-NINE

System information:

NameValueNotes
nmisd_max_workers10(nmis9 only)
omkd_workers4
omkd_max_requests500
Nodes406
Active Nodes507
OS

Ubuntu 18.04.3 LTS


rolepoller

This is how the server memory graphs looks in a stressed system - We will focus on the memory as this is where the bottleneck is: 

NMIS process remains stable, is not using more than 120 mb, and the process was stopped - probably killed for the system due to high memory usage: TODO How to check this 

The OMK process has more fluctuations and higher memory usage - peaks up to 800 mb. The memory trend is to raise: 

And mongod keeps using a lot of memory - 3GB, as configured - but it is stable:

Check processes once nmis9d is restarted again:

top

Healthy system MASTER-NINE

System information:

NameValue
nmisd_max_workers5
omkd_workers10
omkd_max_requestsundef
Nodes2
Poller Nodes536
OS

Ubuntu 18.04.3 LTS

rolemaster

This is how the server memory graphs looks in a normal system: 

Daemons graphs:

omk:

mongo:

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