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Course Outline
Open-Source Search and Analytics Sovereignty
- Evolution of Elastic licensing and subsequent forks.
- Feature comparison between OpenSearch and Elasticsearch for 2025-2026.
- Key applications: enterprise search, log analytics, SIEM, and observability.
Cluster Architecture
- Node roles: master, data, coordinating, and ingest.
- Security plugin configuration: inter-node TLS, certificates, and PKI.
- Preventing split-brain scenarios using discovery.seed_hosts and minimum master node settings.
Data Ingestion
- Indexing via REST API, bulk loading, and defining mappings.
- Utilizing Beats, Fluent Bit, and Logstash pipelines.
- Implementing OpenTelemetry Collector for tracing and metrics.
Search and Dashboards
- Query DSL techniques: match, term, range, aggregations, and nested fields.
- Creating visualizations and dashboards in OpenSearch Dashboards.
- SIEM applications: setting alert rules and detecting anomalies.
Index Management
- Index Lifecycle Management (ILM): rollover, shrinking, and deletion strategies.
- Designing hot-warm-cold architectures.
- Optimizing mappings and text analysis.
Security and Access Control
- Implementing RBAC through users, roles, and tenants.
- Authentication via SAML and OpenID Connect.
- Enforcing document-level security and field masking.
Backup and Recovery
- Configuring snapshot repositories on MinIO, S3, or NFS.
- Automating snapshots using Curator or ISM.
- Restoring specific indices and executing cluster-wide disaster recovery.
Requirements
- Familiarity with search engine mechanics and inverted indexes.
- Practical experience with REST APIs and JSON formats.
- Foundational Linux administration skills, including systemd, logging, and package management.
Target Audience
- Engineers specializing in search and log analytics.
- Teams seeking to move away from managed Elasticsearch or Splunk.
- Security analysts focused on establishing sovereign SIEM backends.
14 Hours
Testimonials (1)
the trainer was very good and made the training perfect for my needs
