Elastic Stack

1. The Elastic Stack

   Elasticsearch, Kibana, Logstash and Beats and how they fit.

2. Deployment Options

   Elastic Cloud, self-managed and serverless options.

3. Data Store and Indices

   Indices, data streams, mappings and documents.

4. Ingestion and Enrichment

   Ingest pipelines, Logstash, Beats, and Elastic Agent.

5. Data Lifecycle

   ILM, data tiers, retention and rollover.

6. Query and Analyze

   Query DSL, ES|QL, aggregations and Kibana exploration.

7. Dashboards and Visualizations

   Kibana Lens, dashboards and Discover.

8. Distributed Architecture

   Nodes, shards, replicas, and cluster coordination.

9. Production Guidance

   Sizing, resilience and production best practices.

10. Security

    TLS, authentication, RBAC and encryption.

11. Monitoring

    Stack monitoring and health.

12. Observability Solution

    Logs, metrics and APM in Elastic.

13. Troubleshooting

    Resolving cluster and ingest problems.

Each section links to the official page. Titles and summaries by Extra Credit; the docs belong to their authors.