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Course Outline

Sovereignty in Open-Source Search and Analytics

  • Elastic license changes and the emergence of forks.
  • Comparison of feature parity between OpenSearch and Elasticsearch in 2025-2026.
  • Key use cases: enterprise search, log analytics, SIEM, and observability.

Cluster Architecture

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

Data Ingestion

  • Indexing via REST API, bulk loading, and defining mappings.
  • Building pipelines with Beats, Fluent Bit, and Logstash.
  • Utilizing the OpenTelemetry Collector for traces and metrics.

Search Capabilities and Dashboards

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

Index Management

  • Index Lifecycle Management (ILM): rollover, shrinking, and deletion strategies.
  • Implementing hot-warm-cold architectures.
  • Optimizing mappings and text analysis.

Security and Access Control

  • Implementing RBAC through users, roles, and tenants.
  • Authentication via SAML and OpenID Connect.
  • Document-level security and field masking techniques.

Backup and Recovery

  • Configuring snapshot repositories to MinIO, S3, or NFS.
  • Automating snapshots using Curator or ISM.
  • Restoring specific indices and executing cluster-wide disaster recovery.

Requirements

  • Familiarity with search engines and the concept of inverted indexes.
  • Practical experience with REST APIs and JSON.
  • Foundational Linux administration skills, including systemd, log management, and package handling.

Target Audience

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

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