Diagnose an incident
Search and correlate logs in a few queries.
Observability · Courses
Complete course on Kibana and Elastic Observability: installation, Discover, KQL and ES|QL, Lens and dashboards, APM and OpenTelemetry, alerting, SLOs, spaces and roles.
LEARNING PATH
Kibana, installation and data views.
Discover, KQL and ES|QL.
Logs, infrastructure, APM and synthetics.
Rules, connectors and objectives.
Spaces, roles and monitoring.
Anomaly detection, AIOps, SIEM and detection rules.
Recommended practices for running the product in production.
Apply the whole Elastic Stack to a real case.
Preparation paths for the vendor's official certifications: unlimited practice exams, dashboard and readiness verdict.
LEARN BY DOING
Search and correlate logs in a few queries.
Shared, versioned indicators.
APM, traces and service map.
Isolated spaces and roles.
No: it queries Elasticsearch and stores its own objects there (dashboards, rules, data views).
KQL filters documents; ES|QL chains filters, calculations and aggregations. KQL is often used in Discover and ES|QL for analysis.
Kibana can be used for free; some features (third-party connectors, document-level security, advanced SLOs) depend on the licence.
Yes: Elastic Observability ingests OTLP and publishes its own OpenTelemetry distributions (EDOT).