OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

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

Cluster Architecture and Design Paradigms

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

Indexing and Data Management at Scale

• Building efficient data ingestion pipelines.
• Managing hot, warm, and cold storage tiers.
• Applying 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.
• Leveraging Rally and Performance Analyzer for benchmarking.

Monitoring, Observability, and Alerting

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

Security and Access Control at Scale

• Applying granular role-based access control.
• Managing certificates and securing communication channels.
• Adhering to auditing and compliance best practices.

Cloud Scaling with AWS OpenSearch Service

• Automating cluster scaling through AWS.
• Integrating IAM, VPC, and CloudFormation.
• Federating hybrid on-premises and AWS OpenSearch instances.

Disaster Recovery, Backup, and Maintenance

• Defining snapshot and restoration strategies.
• Mitigating node failures and cluster instability.
• Automating cluster maintenance and version upgrades.

Concluding Remarks and Future Directions