OpenSearch at Scale Training Course

Introduction to OpenSearch Scaling Concepts

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

Cluster Architecture and Design Patterns

• Designing large-scale multi-node clusters
• Shard allocation, replication, and fault tolerance mechanisms
• Cross-cluster search and replication strategies

Indexing and Data Management at Scale

• Building efficient data ingestion pipelines
• Managing hot-warm-cold storage tiers
• Index lifecycle management and rollover policies

Performance Optimization and Benchmarking

• Measuring 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
• Configuring automated alerts for critical performance thresholds

Security and Access Control at Scale

• Implementing fine-grained role-based access control
• Managing certificates and ensuring encrypted communication
• Auditing and compliance best practices

Scaling in the Cloud with AWS OpenSearch Service

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

Disaster Recovery, Backup, and Maintenance

• Snapshot and restore strategies
• Handling node failures and maintaining cluster stability
• Automated cluster maintenance and upgrade processes

Summary and Next Steps