OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

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

Cluster Architecture and Design Strategies

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

Large-Scale Indexing and Data Governance

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

Performance Tuning and Benchmarking

• Evaluating and enhancing query latency and throughput
• Configuring heap sizes, thread pools, and circuit breakers
• Utilizing Rally and Performance Analyzer for comprehensive 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 in Large Environments

• Enforcing fine-grained role-based access controls
• Handling certificates and secure communication channels
• Adhering to auditing and compliance best practices

Cloud Scaling with AWS OpenSearch Service

• Automating cluster scaling using AWS capabilities
• Integrating IAM, VPC, and CloudFormation
• Establishing hybrid federation between on-premises and AWS OpenSearch

Disaster Recovery, Backup, and Maintenance

• Executing snapshot and restoration procedures
• Managing node failures and cluster instability
• Automating routine cluster maintenance and upgrades

Conclusion and Future Directions