Big Data Monitoring – Grafana, Kibana, Graphite, Prometheus
Reference : DATA-BIGDATA-SUP-01
Price : Contact us
Level & Prerequisites :
Duration : 3 days
Basic knowledge of Linux systems.
Understanding of networks and infrastructure.
Prior experience in Big Data or Cloud computing is a plus.
Description
IThis training course offers a comprehensive overview of modern monitoring, supervision, and observability tools used in Big Data, Cloud, and DevOps environments.
It covers the four most widely used solutions: Grafana (visualization), Kibana (log analysis), Graphite (historical metrics), and Prometheus (real-time monitoring).
Participants will learn to collect, analyze, visualize, and correlate metrics, logs, and events to ensure the performance and reliability of distributed systems.
Public
System administrators and DevOps engineers.
Data engineers and Big Data engineers.
Technical architects.
Technical project managers.
Anyone involved in monitoring distributed infrastructures.
Course objectives
Understand the principles of monitoring and observability in Big Data environments.
Install, configure, and use Grafana, Kibana, Graphite, and Prometheus.
Collect and analyze metrics, logs, and events.
Build relevant dashboards for monitoring.
Set up alerts and performance thresholds.
Understand the integration of these tools within a DevOps/Cloud ecosystem.
Know how to choose the appropriate tool based on technical requirements (Databricks, Snowflake).
Content
Introduction to Big Data Monitoring
Grafana – Visualization and Dashboards
Kibana – Log Analysis and Exploration
Graphite – Metric Collection and Storage
Prometheus – Real-Time Monitoring
Integration and the DevOps Ecosystem
Case Studies and Hands-on Workshops