OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

• Overview of OpenSearch architecture and core components
• Distinguishing between vertical and horizontal scaling dimensions

Cluster Architecture and Design Strategies

• Structuring large-scale, multi-node clusters
• Managing shard allocation, replicas, and fault tolerance mechanisms
• Strategies for cross-cluster search and data replication

Indexing and Data Management at Scale

• Constructing efficient data ingestion pipelines
• Managing hot, warm, and cold storage tiers effectively
• Implementing index lifecycle management and rollover policies

Performance Optimization and Benchmarking

• Analyzing and enhancing query latency and throughput
• Configuring heap sizing, thread pools, and circuit breakers
• Leveraging Rally and Performance Analyzer for rigorous benchmarking

Monitoring, Observability, and Alerting

• Tracking key metrics via OpenSearch Dashboards
• Seamless integration with Prometheus, Grafana, and CloudWatch
• Creating automated alerts for critical performance thresholds

Security and Access Control at Scale

• Deploying granular, role-based access control mechanisms
• Managing certificates and ensuring encrypted communication
• Adhering to auditing and compliance best practices

Cloud Scaling with AWS OpenSearch Service

• Implementing automatic cluster scaling within AWS
• Integrating IAM, VPC, and CloudFormation for secure infrastructure
• Federating on-premises systems with AWS OpenSearch

Disaster Recovery, Backup, and Maintenance

• Developing snapshot and restore protocols
• Mitigating node failures and cluster instability
• Automating cluster maintenance and version upgrades

Conclusion and Future Pathways