OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

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

Cluster Architecture and Design Strategies

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

Indexing and Data Management at Scale

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

Monitoring, Observability, and Alerting

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

Security and Access Control in Scalable Environments

• Implementing granular, role-based access control.
• Managing certificates and secure communication channels.
• Adhering to auditing and compliance best practices.

Cloud Scaling with AWS OpenSearch Service

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

Disaster Recovery, Backup, and Maintenance

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

Conclusion and Next Steps