OpenSearch at Scale Training Course

Introduction to OpenSearch Scaling Concepts

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

Cluster Architecture and Design Patterns

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

Indexing and Data Management at Scale

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

Performance Optimization and Benchmarking

• Measuring and enhancing query latency and throughput
• Configuring 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
• Setting up automated alerts for critical thresholds

Security and Access Control at Scale

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

Scaling in the Cloud with AWS OpenSearch Service

• Automating cluster scaling with AWS
• Integrating IAM, VPC, and CloudFormation
• Hybrid on-premises and AWS OpenSearch federation

Disaster Recovery, Backup, and Maintenance

• Snapshot and restore strategies
• Addressing node failures and cluster instability
• Automated cluster maintenance and upgrades

Summary and Next Steps