OpenSearch at Scale Training Course

Foundations of OpenSearch Scalability

• Overview of OpenSearch architecture and core components
• Exploring scaling dimensions: vertical versus horizontal scaling

Cluster Architecture & Design Strategies

• Structuring large-scale, multi-node clusters
• Configuring shard allocation, replicas, and fault tolerance
• Implementing cross-cluster search and replication techniques

Large-Scale Indexing & Data Governance

• Building efficient data ingestion pipelines
• Managing hot, warm, and cold storage tiers
• Applying index lifecycle management and rollover policies

Performance Tuning & Benchmarking

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

Monitoring, Observability & Alerting

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

Advanced Security & Access Management

• Implementing granular role-based access control
• Managing certificates and securing communications
• Adopting auditing and compliance best practices

Cloud Scaling with AWS OpenSearch Service

• Achieving automatic cluster scaling through AWS
• Integrating IAM, VPC, and CloudFormation
• Federating hybrid on-premises and AWS OpenSearch environments

Disaster Recovery, Backup & Maintenance

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

Conclusion & Future Directions