OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

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

Cluster Architecture and Design Methodologies

• Planning large-scale, multi-node cluster configurations
• Managing shard allocation, replicas, and fault tolerance
• Implementing cross-cluster search and replication techniques

Indexing and Data Management for Scale

• Constructing efficient data ingestion pipelines
• Oversight of hot-warm-cold storage tiers
• Index lifecycle management and rollover policy implementation

Performance Optimization and Benchmarking

• Evaluating and enhancing query latency and throughput
• Configuring heap sizing, thread pools, and circuit breakers
• Utilizing Rally and the Performance Analyzer for benchmarking tasks

Monitoring, Observability, and Alerting

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

Security and Access Control at Scale

• Applying fine-grained role-based access control
• Managing certificates and encrypted communication channels
• Adhering to auditing and compliance best practices

Cloud Scaling with AWS OpenSearch Service

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

Disaster Recovery, Backup, and Maintenance

• Developing snapshot and restore strategies
• Addressing node failures and cluster instability
• Automating cluster maintenance and upgrade processes

Conclusion and Future Directions