OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

• Overview of OpenSearch architecture and key components
• Grasping scaling dimensions: vertical versus horizontal

Cluster Architecture and Design Strategies

• Constructing large-scale multi-node clusters
• Shard allocation, replica management, and fault tolerance
• Strategies for cross-cluster search and replication

Large-Scale Indexing and Data Administration

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

Performance Tuning and Benchmarking

• Evaluating and enhancing query latency and throughput
• Heap sizing, thread pool management, and circuit breakers
• Utilizing Rally and Performance Analyzer for benchmarking

Monitoring, Observability, and Alerting

• Tracking metrics using OpenSearch Dashboards
• Integrating with Prometheus, Grafana, and CloudWatch
• Creating automated alerts for critical threshold breaches

Security and Access Control at Scale

• Implementing detailed role-based access control
• Managing certificates and secure communication channels
• Best practices for auditing and compliance

Cloud Scaling with AWS OpenSearch Service

• Automating cluster scaling with AWS
• Integrating IAM, VPC, and CloudFormation
• Federation between hybrid on-premises and AWS OpenSearch environments

Disaster Recovery, Backup, and Upkeep

• Snapshot and restoration methodologies
• Managing node failures and cluster instability
• Automated cluster maintenance and version upgrades

Conclusion and Future Directions