OpenSearch at Scale Training Course

Foundations of OpenSearch Scaling

• Examining the core architecture and internal components of OpenSearch
• Exploring scaling strategies, including the differences between vertical and horizontal approaches

Designing Robust Cluster Architectures

• Architecting large-scale, multi-node cluster topologies
• Optimizing shard allocation, replica management, and fault tolerance mechanisms
• Implementing cross-cluster search capabilities and data replication workflows

Scalable Indexing and Data Management

• Constructing efficient pipelines for high-volume data ingestion
• Implementing hot, warm, and cold storage tiering strategies
• Configuring index lifecycle management and automated rollover policies

Benchmarking and Performance Tuning

• Analyzing and enhancing query latency and system throughput
• Adjusting heap memory allocation, thread pools, and circuit breaker configurations
• Utilizing tools like Rally and Performance Analyzer for rigorous benchmarking

Observability, Monitoring, and Alerting

• Tracking key performance metrics using OpenSearch Dashboards
• Integrating external monitoring tools such as Prometheus, Grafana, and CloudWatch
• Configuring automated alerts for critical operational thresholds

Enterprise Security and Access Governance

• Deploying granular role-based access control frameworks
• Overseeing certificate management and secure communication protocols
• Establishing auditing procedures and compliance best practices

Cloud-Based Scaling with AWS OpenSearch Service

• Leveraging AWS capabilities for automatic cluster scaling
• Integrating Identity and Access Management (IAM), Virtual Private Clouds (VPC), and CloudFormation
• Creating federated environments connecting on-premises infrastructure with AWS OpenSearch

Resilience, Backup, and Maintenance Operations

• Developing snapshot and restoration strategies for data protection
• Managing node failures and ensuring cluster stability under pressure
• Automating routine maintenance tasks and software upgrades

Conclusion and Future Directions