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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

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