OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

• Overview of OpenSearch architecture and core components
• Exploring scaling dimensions: vertical versus horizontal

Cluster Architecture and Design Principles

• Architecting large-scale, multi-node clusters
• Shard allocation, replication, and fault tolerance mechanisms
• Strategies for cross-cluster search and replication

Indexing and Data Management at Scale

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

Performance Optimization and Benchmarking

• Monitoring and enhancing query latency and throughput
• Configuring heap sizing, thread pools, and circuit breakers
• Leveraging Rally and the Performance Analyzer for benchmarking

Monitoring, Observability, and Alerting

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

Security and Access Control at Scale

• Implementing granular, role-based access control
• Managing certificates and encrypted communication channels
• Best practices for auditing and compliance

Cloud Scaling with AWS OpenSearch Service

• Automating cluster scaling via AWS
• Integrating IAM, VPC, and CloudFormation
• Federating hybrid on-premises and AWS OpenSearch environments

Disaster Recovery, Backup, and Maintenance

• Snapshot and restoration strategies
• Managing node failures and cluster instability
• Automated cluster maintenance and upgrade processes

Summary and Future Steps