OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

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

Cluster Architecture and Design Patterns

• Structuring large-scale, multi-node clusters
• Shard allocation, replica management, and fault tolerance
• Strategies for cross-cluster search and replication

Indexing and Data Management at Scale

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

Performance Optimization and Benchmarking

• Evaluating and enhancing query latency and throughput
• Configuring heap sizing, thread pools, and circuit breakers
• Utilizing Rally and Performance Analyzer for benchmarking

Monitoring, Observability, and Alerting

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

Security and Access Control at Scale

• Implementing fine-grained role-based access control
• Managing certificates and secure communication channels
• Best practices for auditing and compliance

Scaling in the Cloud with AWS OpenSearch Service

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

Disaster Recovery, Backup, and Maintenance

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

Conclusion and Future Directions