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Elasticsearch Advanced Operation and Maintenance Class

Master Cluster Management, Optimization, and Data Security

This advanced-level course is designed for Elasticsearch professionals who want to plan, manage, and optimize Elasticsearch clusters. It provides in-depth knowledge of cluster architecture, exception handling, performance optimization, data lifecycle management, and security.

In 2024, the course was expanded to three days with more hands-on exercises and case studies, ensuring a deeper understanding of Elasticsearch operations and practical troubleshooting skills.

Registration Tier – Are You Ready for Advanced Training?

This course is not for beginners. It is recommended if you:

  • Can install and configure an Elasticsearch Cluster independently.
  • Understand primary and replica shards, node roles, and index settings.
  • Are familiar with CRUD operations, bulk processing, and mapping configurations.
  • Know how Elasticsearch handles text analysis, inverted indexing, and queries.
  • Can distinguish query vs. filter, understand query execution, and coordinator node responsibilities.
  • Have worked with nested objects, aggregations, dynamic mapping, and performance tuning.
  • Can troubleshoot Elasticsearch cluster states (red, yellow, green) and their impact on data access.

Course Schedule & Registration

Time and Location

  • Location: Online (detailed instructions sent via email before the class).

  • Time: 9:00 AM – 5:00 PM (includes a 1-hour lunch break).

Classes may extend by 30-60 minutes for in-depth discussions.

Course Fees and Discounts

  • Standard Fee: USD 861 (Tax Included).
  • Bundle Discount: Register for both Basic & Advanced courses and receive 10% off (Original: USD 1,302 → Discounted: USD 1,172).
  • Group Discount: Register 4+ participants for 10% off (USD 775 per person).

Course Content

  • Cluster Management & Architecture
    ✔ Understanding Elasticsearch Distributed Architecture
    ✔ Cluster Formation, Maintenance & Exception Handling
    ✔ How Elasticsearch Handles Split-Brain Scenarios
    ✔ Shard Allocation, Routing, and Filtering Configurations
    ✔ Paging in Distributed Architecture – Search After & Scroll API
    ✔ Cross-Cluster Search & Replication
  • Performance Optimization & Advanced Configuration
    ✔ Heap Memory & JVM Optimization
     ✔ Filter Cache Mechanics & Query Performance Tuning
     ✔ Indexing & Search Performance Best Practices
     ✔ Shard & Storage Management Strategies
  • Data Modeling & Advanced Querying
    ✔ Storing & Querying Relational Data
     ✔ Schema-on-Read vs. Schema-on-Write Approaches
     ✔ Async Search & Runtime Fields
     ✔ Evolutionary Data Management Techniques
  •  Data Lifecycle Management
    ✔ Index Lifecycle Management (ILM)
    ✔ Data Stream & Time-Series Data Stream Best Practices
    ✔ Rollup, Transform & Archiving Strategies
  • Security & Access Control
    ✔ Elastic X-Pack Security Features
     ✔ Role-Based Access Control (RBAC) Implementation
     ✔ Kibana User/Role/Spaces Management
     ✔ Snapshot & Restore for Disaster Recovery
  • Data Ingestion & Pipeline Management
    ✔ Configuring Ingest Pipelines & Common Processors
     ✔ Enrichment Pipelines & Exception Handling
     ✔ Optimizing Data Ingestion for Large-Scale Systems
  • Real-World Operations & Troubleshooting
    ✔ Capacity Planning for Large Elasticsearch Clusters
     ✔ Monitoring Elasticsearch & Circuit Breakers
     ✔ Common Cluster Issues & Advanced Troubleshooting
     ✔ Rolling Upgrades & Version Compatibility Considerations

Who Should Attend?

  1. IT Operations & SRE Engineers managing Elasticsearch
  2. Developers responsible for Elasticsearch performance & scalability
  3. Data Scientists, IT Managers, System Architects, and Security Professionals
  4. Anyone with experience in Elasticsearch who needs deeper technical expertise

⚠ This course is NOT suitable for beginners. It is recommended to complete the Elasticsearch Basic Practice Class first or have equivalent experience.

Course Information & Refund Policy

  1. Class Size: Minimum 6 participants required, max 16 participants per session.
  2. Full Refund – If the course is canceled due to low enrollment.
  3. 90% Refund – If cancellation is requested 8+ days before the class.
  4. 50% Refund – If cancellation is requested within 7 days of the class.
  5. Course Transfers – Participants may transfer their registration to another person (notify us 3 days before the class starts).

In case of force majeure, Elasticsearch Experts reserves the right to adjust course dates or cancel sessions.

Additional Notes & Requirements

  1. ✔ This course includes hands-on exercises – A functional laptop (Windows, Mac, or Linux) is required.
  2. ✔ Detailed connection instructions and software setup will be emailed before the course.
  3. ✔ Corporate invoices available upon request.
  4. ✔ The organizer reserves the right to adjust course content, format, and schedule.

Instructors

  • Yasir Raza – Expert Consultant & Technical Director (Search, Data, Elasticsearch, OpenSearch) [LinkedIn]
  • Aamir – Expert Consultant (Elasticsearch, OpenSearch) [LinkedIn]

For inquiries, corporate training, or consulting services, contact Mr. Yasir at info@elasticsearch.expert.

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