Advanced Zabbix Database Monitoring
The goal of this course is to fully explain DBMS monitoring concepts and approaches, and provide practical knowledge of configuring DBMS monitoring with Zabbix. The course covers various Zabbix native approaches to collect DBMS performance metrics and collect DBMS-related data using Zabbix Agent 2, ODBC and API requests. The course also covers optimizing DBMS data collection by introducing dependent Low-level discovery for minimal DBMS performance impact.
During the course, students will practice configuring DBMS monitoring for such DBMS as MySQL, MariaDB, PostgreSQL, MongoDB, Redis, InfluxDB and Elasticsearch
Information about the course
| Designed for the product: | Zabbix 7.0 |
|---|---|
| Group size: | Small groups (up to 10 students) |
| Requirements: | None |
| Type of exam: | 30 min, theoretical |
| Course language: | English or Czech |
| Available online: | Yes |
| Course length: | 1 DAY |
| Course price: | € 490 excluding VAT |
Course content
Day 1
- Introduction to various DBMS
- Database monitoring using ODBC
- Additional database monitoring methods
- Database monitoring basics
- Database monitoring using encryption
- Performance impact
- Database monitoring using Zabbix agent 2
- Database monitoring with dependent LLD
Tomáš Heřmánek
CEO & Zabbix Certified TrainerAdditional information
Certificate
- Each participant will receive a certificate of course completion.
- Upon successfully passing the exam, you will obtain the Advanced Zabbix Database Monitoring certificate.
Course certificates and gifts
For all attendees
For passing the exam
Acquired skills and knowledge
Automatically discover and start collecting DBMS performance metrics
from various database engines representing the most popular vendors
Get an in-depth look at how DBMS metrics are exposed and collected
Learn how to troubleshoot DBMS data collection issues
Optimize DBMS data collection
by implementing custom queries and bulk data collection
Collect custom data from both SQL and NoSQL databases
by using different Zabbix data collection approaches