OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

• An examination of OpenSearch architecture and its core components
• Distinguishing between vertical and horizontal scaling dimensions

Cluster Architecture and Design Methodologies

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

Managing Indexing and Data at Scale

• Building efficient data ingestion pipelines
• Overseeing hot-warm-cold storage tiering
• Applying index lifecycle management and rollover policies

Performance Enhancement and Benchmarking

• Assessing and refining query latency and throughput
• Adjusting heap sizing, thread pools, and circuit breakers
• Leveraging Rally and Performance Analyzer for benchmarking purposes

Monitoring, Observability, and Alerting Mechanisms

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

Security and Access Control in Large Environments

• Deploying granular, role-based access controls
• Administering certificates and secure communication channels
• Adhering to auditing and compliance best practices

Cloud Scaling via AWS OpenSearch Service

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

Disaster Recovery, Backup, and Maintenance Protocols

• Formulating snapshot and restore strategies
• Mitigating node failures and cluster instability
• Automating cluster maintenance and upgrade processes

Conclusion and Future Directions