OpenSearch at Scale Training Course

Foundations of OpenSearch Scalability

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

Cluster Architecture and Strategic Design

• Designing extensive multi-node cluster topologies
• Managing shard allocation, replicas, and fault tolerance
• Implementing cross-cluster search and replication techniques

Large-Scale Indexing and Data Governance

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

Performance Tuning and Benchmarking

• Assessing and enhancing query latency and throughput
• Configuring heap sizing, thread pools, and circuit breakers
• Leveraging Rally and Performance Analyzer for rigorous testing

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 Granular Access Control

• Enforcing fine-grained, role-based access controls
• Managing certificates and secure communication protocols
• Adhering to auditing and compliance standards

Cloud Scaling via AWS OpenSearch Service

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

Disaster Recovery, Backups, and Upkeep

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

Recap and Future Directions