OpenSearch at Scale Training Course

Fundamentals of Scaling OpenSearch

• Revisiting OpenSearch architecture and core components
• Exploring scaling dimensions: vertical versus horizontal growth

Cluster Architecture and Design Strategies

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

Indexing and Data Management at Scale

• Constructing efficient data ingestion pipelines
• Overseeing hot-warm-cold storage tiers
• Implementing index lifecycle management and rollover policies

Performance Optimization and Benchmarking

• Assessing and enhancing query latency and throughput
• Configuring heap size, thread pools, and circuit breakers
• Leveraging Rally and Performance Analyzer for benchmarking

Monitoring, Observability, and Alerting

• Tracking key metrics via OpenSearch Dashboards
• Integrating with Prometheus, Grafana, and CloudWatch
• Configuring automated alerts for critical performance thresholds

Security and Access Control at Scale

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

Cloud Scaling via AWS OpenSearch Service

• Automating cluster scaling with AWS
• Integrating IAM, VPC, and CloudFormation
• Federating hybrid on-premises and AWS OpenSearch environments

Disaster Recovery, Backup, and Maintenance

• Defining snapshot and restore protocols
• Mitigating node failures and cluster instability
• Scheduling automated cluster maintenance and upgrades

Conclusion and Future Recommendations