
Learn Grafana, the leading open source tool for visualizing metrics, time series data and application analytics.
InstructorSean Bradley







Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This view demonstrates configuring a Grafana panel to visualize time-series log data using a Loki query and selecting graph visualizations.
The Grafana plugin management screen displays available data source integrations such as Dynatrace, DataDog, and Zabbix, highlighting the selection process for adding external monitoring tools.
The terminal displays a Promtail configuration file being edited in nano, showing specific scrape configs for systemd journal and nginx log collection.
The image displays a Python script named sendsms.py in a terminal editor, showing code that uses Flask and Boto3 to integrate with AWS Simple Notification Service.
The curriculum covers a wide array of connections including MySQL, Zabbix, InfluxDB, and Prometheus, alongside log management via Loki.
Instruction includes essential server provisioning steps such as Nginx reverse proxy configuration and SSL implementation.
The learning path utilizes cloud-based provisioning, which may limit those wanting to practice via local environments or Docker.
One signal suggests a rapid instructional pace, while another indicates a heavy focus on installation tutorials over high-level conceptual explanations.
The curriculum aligns well with the needs of systems and network administrators through its focus on diverse data sources.