OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

• Overview of OpenSearch architecture and core components
• Distinguishing between vertical and horizontal scaling dimensions

Cluster Architecture and Design Patterns

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

Indexing and Data Management at Scale

• Creating efficient data ingestion pipelines
• Administering hot-warm-cold storage tiers
• Applying index lifecycle management and rollover policies

Performance Optimization and Benchmarking

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

Monitoring, Observability, and Alerting

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

Security and Access Control at Scale

• Deploying fine-grained role-based access controls
• Managing certificates and secure encrypted communications
• Adhering to auditing and compliance best practices

Cloud Scaling with AWS OpenSearch Service

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

Disaster Recovery, Backup, and Maintenance

• Developing snapshot and restoration strategies
• Mitigating node failures and cluster instability
• Scheduling automated cluster maintenance and upgrades

Conclusion and Future Directions