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Observabilité · Courses

Kibana and Elastic Observability: from discovery to expertise

Complete course on Kibana and Elastic Observability: installation, Discover, KQL and ES|QL, Lens and dashboards, APM and OpenTelemetry, alerting, SLOs, spaces and roles.

8 chapters13 lessonsEN
At your pace, through practice.

By the end of this course you will be able to

  • Install Kibana and create data views
  • Search with KQL and analyse with ES|QL
  • Build versioned Lens dashboards
  • Use Elastic Observability (logs, infrastructure, APM)
  • Create alerts and organise Kibana with spaces and roles

🎯 Level : Intermediate👥 Who it is for : Operators, SREs, developers and analysts who use the Elastic Stack to explore, visualise and monitor their data

LEARNING PATH

Course curriculum

0Course overview1 lesson
  1. Assessment quizQuiz · ⏱ 10 min
1Introduction and installation2 lessons

Kibana, installation and data views.

  1. Kibana: role and installationArticle · ⏱ 5 min
  2. Lab: Install Kibana and explore logs with KQLHands-on lab · ⏱ 35 min · Level 2/5
2Exploring data1 lesson

Discover, KQL and ES|QL.

  1. Discover, KQL and ES|QLArticle · ⏱ 4 min
3Visualising2 lessons

Lens, dashboards and saved objects.

  1. Lab: Analyse with ES|QLHands-on lab · ⏱ 35 min · Level 3/5
  2. Lens, dashboards and saved objectsArticle · ⏱ 4 min
4Elastic Observability3 lessons

Logs, infrastructure, APM and synthetics.

  1. Lab: Versioned Lens dashboardHands-on lab · ⏱ 45 min · Level 3/5
  2. Elastic ObservabilityArticle · ⏱ 5 min
  3. Lab: ES|QL alert rule and connectorHands-on lab · ⏱ 40 min · Level 3/5
5Alerts and SLOs1 lesson

Rules, connectors and objectives.

  1. Alerts, connectors and SLOsArticle · ⏱ 4 min
6Administration2 lessons

Spaces, roles and monitoring.

  1. Administering KibanaArticle · ⏱ 4 min
  2. Final Lab: Spaces and roles for two teamsHands-on lab · ⏱ 40 min · Level 3/5
7Best practices1 lesson

Recommended practices for running the product in production.

  1. Kibana best practicesArticle · ⏱ 4 min

LEARN BY DOING

Use cases & applications

Diagnose an incident

Search and correlate logs in a few queries.

Operations dashboards

Shared, versioned indicators.

Application observability

APM, traces and service map.

Multi-team platform

Isolated spaces and roles.

Recommended prerequisites

Elasticsearch: from discovery to expertise

What next?

Logstash: from discovery to expertiseBeats: From Discovery to ExpertiseSRE in practice: SLIs, SLOs and error budgets

Frequently asked questions

Does Kibana store data?

No: it queries Elasticsearch and stores its own objects there (dashboards, rules, data views).

KQL or ES|QL?

KQL filters documents; ES|QL chains filters, calculations and aggregations. KQL is often used in Discover and ES|QL for analysis.

Do I need a paid licence?

Kibana can be used for free; some features (third-party connectors, document-level security, advanced SLOs) depend on the licence.

Does Elastic support OpenTelemetry?

Yes: Elastic Observability ingests OTLP and publishes its own OpenTelemetry distributions (EDOT).