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Course Outline

Open-Source Search and Analytics Sovereignty

  • Elastic license changes and forks.
  • Feature parity between OpenSearch and Elasticsearch in 2025-2026.
  • Use cases: enterprise search, log analytics, SIEM, observability.

Cluster Architecture

  • Node roles: master, data, coordinating, and ingest nodes.
  • Security plugin: TLS for inter-node communication, certificates, PKI.
  • Preventing split-brain scenarios: using discovery.seed_hosts and minimum master nodes.

Data Ingestion

  • REST API indexing, bulk loading, mapping definitions.
  • Beats, Fluent Bit, and Logstash pipelines.
  • OpenTelemetry Collector for traces and metrics.

Search and Dashboards

  • Query DSL: match, term, range queries, aggregations, nested fields.
  • OpenSearch Dashboards: creating visualizations and dashboards.
  • SIEM use cases: alert rules and anomaly detection.

Index Management

  • ILM: rollover, shrinking, deletion.
  • Hot-warm-cold architecture implementation.
  • Mapping optimization and text analysis techniques.

Security and Access Control

  • RBAC involving users, roles, and tenants.
  • SAML and OpenID Connect authentication methods.
  • Document-level security and field masking strategies.

Backup and Recovery

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

Requirements

  • Understanding of search engines and inverted indexes.
  • Experience with REST APIs and JSON.
  • Fundamental Linux administration skills: systemd, logs, packages.

Audience

  • Engineers specializing in search and log analytics.
  • Teams looking to replace managed Elasticsearch or Splunk solutions.
  • Security analysts developing sovereign SIEM backends.
 14 Hours

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