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Course Outline
Open-Source Search and Analytics Sovereignty
- Elastic licensing changes and the emergence of forks.
- 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: TLS for inter-node communication, certificates, and PKI.
- Preventing split-brain scenarios via discovery.seed_hosts and minimum master node configuration.
Data Ingestion
- REST API indexing, bulk loading techniques, and mapping definitions.
- Utilizing Beats, Fluent Bit, and Logstash pipelines.
- Integrating the OpenTelemetry Collector for traces and metrics.
Search and Dashboards
- Query DSL: 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 policies.
- Implementing hot-warm-cold data 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-level masking.
Backup and Recovery
- Configuring snapshot repositories on MinIO, S3, or NFS.
- Automating snapshots using Curator/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
- Search and log analytics engineers.
- 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
