Confident Grafana navigation - You will learn how to move confidently through Grafana, set up the environment, and choose between OSS, Enterprise, and Cloud based on your team's actual needs.
Connecting multiple data sources - You will learn how to connect and use PostgreSQL, Prometheus, Elasticsearch, Zabbix, and TestData to build dashboards that combine data from different systems.
Preparing data for visualization - You will practice queries, expressions, transformations, panel options, and overrides, so you can shape raw data into views that are clear and useful in daily work.
Choosing the right visualizations - You will learn when to use Time series, Table, Stat, Gauge, GeoMap, and other panel types, so your dashboards present data clearly and support faster decisions.
Dynamic dashboards with variables - You will master variables, use them in queries and panels, and apply repeat panels, so you can build flexible dashboards that adapt to the data scope you select.
Effective alerts and notifications - You will create your own alerts, configure Contact Points, Notification Policies, and Silence and Mute settings, so you can detect issues faster and control escalation better.
Stronger Prometheus skills - You will grasp Prometheus architecture, its data model, PromQL, and recording rules, so you can prepare efficient metrics for Grafana dashboards and alerting.
More reliable administration - You will learn how to work with plugins, organizations, users, teams, and authentication methods, helping you manage Grafana more securely and troubleshoot with confidence.
Basic data literacy - You should understand what metrics, records, tables, and fields are, so you can work efficiently with data coming from databases, monitoring tools, and logs.
Query basics - You should have basic experience reading or writing simple queries, such as SQL or filtering expressions, because the course includes hands-on work with source data.
IT monitoring fundamentals - You should be familiar with the basics of monitoring systems and services, so it is easier for you to understand metrics, alerts, data sources, and practical examples.
Comfortable computer use - You should be comfortable using a web browser, an operating system, and basic application settings, because the training is practical and requires independent work.
