OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

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

Cluster Architecture and Design Strategies

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

Indexing and Data Management in Large Environments

• Building efficient data ingestion pipelines
• Managing hot, warm, and cold storage tiers
• Applying index lifecycle management and rollover policies

Performance Optimization and Benchmarking

• Evaluating and enhancing query latency and throughput
• Configuring heap sizing, thread pools, and circuit breakers
• Utilizing Rally and Performance Analyzer for benchmarking tasks

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

• Enforcing fine-grained 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 features
• Integrating IAM, VPC, and CloudFormation services
• Establishing hybrid on-premises and AWS OpenSearch federation

Disaster Recovery, Backup, and Maintenance

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

Recap and Future Directions