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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
Testimonials (1)
the trainer was very good and made the training perfect for my needs