OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

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

Cluster Architecture and Design Strategies

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

Managing Indexing and Data at Scale

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

Performance Tuning and Benchmarking

• Assessing 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 metrics via OpenSearch Dashboards
• Integrating with Prometheus, Grafana, and CloudWatch
• Creating automated alerts for critical system thresholds

Security and Access Control in Large Deployments

• Implementing fine-grained role-based access control
• Managing certificates and encrypted communication channels
• Adhering to auditing and compliance best practices

Cloud Scaling with AWS OpenSearch Service

• Automating cluster scaling using AWS
• Integrating IAM, VPC, and CloudFormation
• Establishing hybrid on-premises and AWS OpenSearch federation

Disaster Recovery, Backup, and Maintenance

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

Conclusion and Future Pathways