OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

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

Cluster Architecture and Design Strategies

• Constructing large-scale, multi-node cluster topologies
• Managing shard allocation, replicas, and fault tolerance
• Implementing cross-cluster search and replication workflows

Large-Scale Indexing and Data Management

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

Performance Optimization and Benchmarking

• Tracking and enhancing query latency and throughput
• Tuning heap sizing, thread pools, and circuit breakers
• Leveraging Rally and Performance Analyzer for benchmarking tasks

Monitoring, Observability, and Alerting

• Tracking key metrics via OpenSearch Dashboards
• Integrating with Prometheus, Grafana, and CloudWatch
• Configuring automated alerts for critical performance thresholds

Security and Access Control at Scale

• Deploying granular role-based access controls
• Managing certificates and secure communication channels
• Adhering to auditing and compliance best practices

Cloud Scaling with AWS OpenSearch Service

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

Disaster Recovery, Backup, and Maintenance

• Defining snapshot and restore strategies
• Mitigating node failures and cluster instability
• Scheduling automated cluster maintenance and upgrades

Wrap-up and Future Directions