OpenSearch at Scale Training Course

Introduction to OpenSearch Scaling Concepts

• Review of OpenSearch architecture and core components.
• Understanding scaling dimensions: vertical vs. horizontal.

Cluster Architecture and Design Patterns

• Designing large-scale, multi-node clusters.
• Managing shard allocation, replicas, and fault tolerance.
• Strategies for cross-cluster search and replication.

Indexing and Data Management at Scale

• Building efficient data ingestion pipelines.
• Managing hot, warm, and cold storage tiers.
• Implementing 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 the Performance Analyzer for benchmarking.

Monitoring, Observability, and Alerting

• Tracking metrics using OpenSearch Dashboards.
• Integration with Prometheus, Grafana, and CloudWatch.
• Creating automated alerts for critical performance thresholds.

Security and Access Control at Scale

• Implementing fine-grained, role-based access control.
• Managing certificates and securing communication via encryption.
• Best practices for auditing and compliance.

Scaling in the Cloud with AWS OpenSearch Service

• Automating cluster scaling with 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.

Summary and Next Steps