HARP, which has provided ASP and SaaS services to the Hokkaido government and local governments within Hokkaido, promoting shared IT infrastructure and electronic application and facility reservation services, has been using Zabbix for about ten years and has moved to the latest LTS version, Zabbix 5.0. As digital technologyʼs role in local government functions increases, the company is working to make more comprehensive monitoring platforms a reality.
In today’s topic let’s talk about section “Administration” => “Queue”.
Zabbix queue also called delayed metrics represents data that is currently missing inside the monitoring tool.
PostgresSQL is one of the supported database engines that Zabbix uses to store all configuration data and history. The popularity of Postgres makes it a very sought-after Database engine for Zabbix. TimescaleDB is a great extension to Postgres that empowers Zabbix with native partitioning functionality and data compression, which saves a lot of disk space for our users.
Depending on your requirements, monitoring SNMP metrics can turn into quite a troublesome task. What if no out-of-the-box templates are available for my device? How can I find OID’s for my metrics and test them? What If I wish to avoid any kind of performance impact on my SNMP device during the testing period?
Zabbix needs to be secure as Zabbix configuration contains credentials, which are used to access all other systems, and the data collected from those systems may contain very sensitive information. In addition, Zabbix can execute remote commands on your production servers.
While Zabbix software is completely free, we do offer professional services on top of that. And it’s the approach and mentality behind them that really drive the company forward.
In this blog post, you will learn how to set up MySQL partitioning using existing community resources. If you wish to learn more about Zabbix MySQL database partitioning, check out this blog post for an extensive guide below.
This guide is meant to work for all most prominent MySQL features including MySQL 8, MariaDB or other MySQL forks. So whichever version or type you are running, this guide should be able to get you up and running.
In the previous blog posts, we created a Zabbix Server with a new user, a media type, and an action. In the 2nd blog post, we continued with creating and configuring a Zabbix Proxy. In the last part of this series of blog posts, we will install the Zabbix Agent on all of the 3 nodes we have running.
In the previous blog post, we created a Zabbix Server setup, created several users, a media type, and an action. But today, we will install on a 3rd node the Zabbix Proxy. This Zabbix Proxy will have its database running on the same host, so the “node-3” host has both the MySQL and Zabbix Proxy running.
Today we are focusing more on the automation of installation and software configuration instead of using the manual approach. Installing and configuring software the manual way takes a lot more time, you can easily make more errors by forgetting steps or making typos, and it will probably be a bit boring when you need to do this for a large number of servers.
A big data analytics engine can be used to optimize large and complex Zabbix installations: keeping track of the amount and kind of problems over time, top alert producers, and much more. You can employ Splunk to optimize and analyze vital Zabbix runtime parameters, such as ‘unsupported items,’ repeatedly happening host availability issues, misconfigured agents, and Zabbix Queue entries.
This article will recall the most important theses about the plugin for PostgreSQL monitoring for Zabbix Agent 2. Here you’ll find the explanation of how the plugin works under the hood illustrated with a simple example. You will also get familiar with a new mechanism of custom queries that let you collect metrics from separate SQL files on PC.
