OpenSearch at Scale Training Course

Foundations of OpenSearch Scalability

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

Cluster Architecture and Design Methodologies

• Structuring large-scale, multi-node cluster configurations
• Strategies for shard allocation, replication, and fault tolerance
• Implementing cross-cluster search and replication techniques

Advanced Indexing and Data Management

• Constructing efficient data ingestion pipelines
• Overseeing hot, warm, and cold storage tiers
• Configuring index lifecycle management and rollover policies

Performance Tuning and Benchmarking

• Assessing and enhancing query latency and throughput
• Adjusting heap sizes, thread pools, and circuit breaker settings
• Utilizing Rally and Performance Analyzer for comprehensive benchmarking

Monitoring, Observability, and Alerting

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

Security and Access Control at Scale

• Applying granular role-based access controls
• Administering certificates and secure encrypted communications
• Adhering to auditing and compliance best practices

Cloud Scaling via AWS OpenSearch Service

• Leveraging AWS for automatic cluster scaling
• Integrating IAM, VPC, and CloudFormation resources
• Establishing hybrid on-premises and AWS OpenSearch federation

Disaster Recovery, Backup, and Maintenance

• Developing snapshot and restore strategies
• Mitigating node failures and maintaining cluster stability
• Automating cluster maintenance and version upgrades

Conclusion and Future Directions