OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

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

Cluster Architecture and Design Patterns

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

Indexing and Data Management at Scale

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

Performance Optimization and Benchmarking

• Assessing and enhancing query latency and throughput
• Configuring heap size, thread pools, and circuit breakers
• Leveraging Rally and Performance Analyzer for benchmarking

Monitoring, Observability, and Alerting

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

Security and Access Control at Scale

• Enforcing granular role-based access control
• Oversight of certificates and secure communication channels
• Adhering to auditing and compliance best practices

Cloud Scaling with AWS OpenSearch Service

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

Disaster Recovery, Backup, and Maintenance

• Developing snapshot and restoration strategies
• Mitigating node failures and cluster instability
• Scheduling automated cluster maintenance and upgrades

Conclusion and Future Directions