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Course Outline

Sovereignty in Open-Source Search and Analytics

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

Cluster Architecture

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

Data Ingestion

  • REST API indexing, bulk loading strategies, and mapping definitions.
  • Pipelines using Beats, Fluent Bit, and Logstash.
  • Integration of OpenTelemetry Collector for traces and metrics.

Search 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.
  • Implementing hot-warm-cold architecture.
  • Mapping optimization and text analysis techniques.

Security and Access Control

  • RBAC implementation using users, roles, and tenants.
  • Authentication via SAML and OpenID Connect.
  • Document-level security and field masking.

Backup and Recovery

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

Requirements

  • Familiarity with search engines and inverted indexes.
  • Practical experience with REST APIs and JSON.
  • Foundational Linux administration skills, including systemd, logging, and package management.

Audience

  • Engineers specializing in search and log analytics.
  • Teams aiming to replace managed Elasticsearch or Splunk deployments.
  • Security analysts constructing sovereign SIEM backends.
 14 Hours

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