OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

• Overview of core OpenSearch architecture and key components
• Distinguishing between vertical and horizontal scaling strategies

Cluster Architecture and Design Patterns

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

Large-Scale Indexing and Data Management

• Constructing 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 metrics
• Tuning heap sizing, thread pools, and circuit breaker settings
• Leveraging Rally and Performance Analyzer for standardized benchmarking

Monitoring, Observability, and Alerting

• Utilizing OpenSearch Dashboards for metric monitoring
• Connecting with Prometheus, Grafana, and CloudWatch
• Creating automated alerts for critical performance thresholds

Security and Access Control at Scale

• Enforcing fine-grained role-based access control
• Administering certificates and secure communication channels
• Adhering to auditing and compliance best practices

Cloud Scaling via AWS OpenSearch Service

• Achieving automatic cluster scaling with AWS capabilities
• Integrating IAM, VPC, and CloudFormation services
• Establishing hybrid on-premises and AWS OpenSearch federation

Disaster Recovery, Backup, and Maintenance

• Developing snapshot and restore protocols
• Mitigating node failures and cluster instability issues
• Automating cluster maintenance cycles and version upgrades

Course Summary and Future Directions