OpenSearch at Scale Training Course

Introduction to OpenSearch Scaling Principles

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

Cluster Architecture and Design Strategies

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

Indexing and Data Management at Scale

• Constructing efficient data ingestion pipelines
• Administering hot-warm-cold storage tiers
• Applying index lifecycle management and rollover policies

Performance Optimization and Benchmarking

• Assessing and enhancing query latency and throughput
• Tuning heap sizing, thread pools, and circuit breakers
• Leveraging 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

• Deploying fine-grained, role-based access control
• Managing certificates and securing communication channels
• Adopting best practices for auditing and compliance

Cloud Scaling with AWS OpenSearch Service

• Achieving automatic cluster scaling with AWS
• Integrating IAM, VPC, and CloudFormation
• Setting up hybrid federation between on-premises systems and AWS OpenSearch

Disaster Recovery, Backup, and Maintenance

• Formulating snapshot and restoration strategies
• Mitigating node failures and cluster instability
• Automating cluster maintenance and upgrade processes

Summary and Future Pathways