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Duration 21 hours
Course Outline
Foundational Principles of OpenSearch Scalability
- Examination of OpenSearch core architecture and constituent components
- Differentiation between vertical and horizontal scaling methodologies
Cluster Topology and Architectural Standards
- Architecting large-scale, multi-node cluster environments
- Strategies for cross-cluster search and data replication
Large-Scale Indexing and Data Governance
- Engineering efficient data ingestion pipelines
- Administration of hot, warm, and cold storage hierarchies
- Index lifecycle management and automated rollover policies
Performance Tuning and Benchmarking Protocols
- Quantification and optimization of query latency and throughput
- Configuration of heap sizes, thread pools, and circuit breakers
- Utilization of Rally and Performance Analyzer for rigorous testing
Surveillance, Observability, and Alerting Mechanisms
- Metric monitoring via OpenSearch Dashboards
- Integration with Prometheus, Grafana, and CloudWatch ecosystems
- Establishment of automated alerts for critical operational thresholds
Security Posture and Access Governance at Scale
- Deployment of granular role-based access control frameworks
- Certificate management and encrypted communication protocols
- Auditing procedures and regulatory compliance standards
Cloud-Based Scaling via AWS OpenSearch Service
- Automated cluster scaling within AWS environments
- Integration of IAM, VPC, and CloudFormation for governance
- Federation of hybrid on-premises and AWS OpenSearch instances
Disaster Recovery, Backup, and Operational Maintenance
- Snapshot and restoration strategy implementation
- Mitigation of node failures and cluster instability
- Automated cluster maintenance and version upgrade procedures
Synthesis and Subsequent Implementation Steps
Requirements
Target Audience
Testimonials (1)
the trainer was very good and made the training perfect for my needs