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 Duration 14 hours

Course Outline

Open-Source Search and Analytics Sovereignty

  • Elastic license changes and subsequent forks.
  • Feature comparison between OpenSearch and Elasticsearch in 2025-2026.
  • Application scenarios: enterprise search, log analytics, SIEM, and observability.

Cluster Architecture

  • Node roles: master, data, coordinating, and ingest.
  • Security plugin details: TLS internode communication, certificates, and PKI.
  • Preventing split-brain scenarios via discovery.seed_hosts and minimum master node configurations.

Data Ingestion

  • Indexing via REST API, bulk loading, and mapping definitions.
  • Pipelines using Beats, Fluent Bit, and Logstash.
  • Collecting traces and metrics with the OpenTelemetry Collector.

Search and Dashboards

  • Query DSL elements: match, term, range, aggregations, and nested fields.
  • Creating visualizations and dashboards in OpenSearch Dashboards.
  • SIEM applications: alert rules and anomaly detection.

Index Management

  • Index Lifecycle Management (ILM): rollover, shrinking, and deletion.
  • Hot-warm-cold data architecture.
  • Mapping optimization and text analysis techniques.

Security and Access Control

  • Role-Based Access Control (RBAC) involving users, roles, and tenants.
  • Authentication via SAML and OpenID Connect.
  • Document-level security and field masking.

Backup and Recovery

  • Snapshot repositories on MinIO, S3, or NFS.
  • Automating snapshots with Curator/ISM.
  • Restoring specific indices and executing cluster-wide disaster recovery.

Requirements

  • Foundational knowledge of search engines and inverted indexes.
  • Proficiency with REST APIs and JSON.
  • Basic Linux administration skills, including systemd, logging, and package management.

Target Audience

  • Search and log analytics engineers.
  • Teams migrating away from managed Elasticsearch or Splunk.
  • Security analysts developing sovereign SIEM backends.

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