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Course Outline
Achieving Sovereignty in Open-Source Search and Analytics
- Overview of Elastic license changes and resulting forks.
- Comparing feature parity between OpenSearch and Elasticsearch for 2025-2026.
- Use cases: enterprise search, log analytics, SIEM, and observability.
Cluster Architecture
- Node roles: master, data, coordinating, and ingest nodes.
- Security plugin: inter-node TLS, certificates, and PKI.
- Preventing split-brain scenarios: utilizing discovery.seed_hosts and minimum_master_nodes settings.
Data Ingestion
- REST API indexing, bulk loading, and mapping definitions.
- Utilizing Beats, Fluent Bit, and Logstash pipelines.
- Using the OpenTelemetry Collector for traces and metrics.
Search and Dashboards
- Query DSL: match, term, range, aggregations, and nested fields.
- OpenSearch Dashboards: creating visualizations and dashboards.
- SIEM use cases: setting up alert rules and anomaly detection.
Index Management
- ILM processes: rollover, shrinking, and deletion.
- Implementing hot-warm-cold architecture.
- Optimizing mappings and text analysis.
Security and Access Control
- RBAC implementation with users, roles, and tenants.
- SAML and OpenID Connect authentication methods.
- Document-level security and field masking techniques.
Backup and Recovery
- Configuring snapshot repositories for MinIO, S3, or NFS.
- Automating snapshots with Curator/ISM.
- Restoring specific indices and ensuring cluster-wide disaster recovery.
Requirements
- Familiarity with search engines and inverted indexes.
- Experience working with REST APIs and JSON.
- Basic Linux administration skills: systemd, logs, and package management.
Target Audience
- Engineers specializing in search and log analytics.
- Teams transitioning away from managed Elasticsearch or Splunk solutions.
- Security analysts developing sovereign SIEM backends.
14 Hours
Testimonials (1)
the trainer was very good and made the training perfect for my needs
