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Struttura del corso
Introduction to OpenSearch Scaling Concepts
- Review of OpenSearch architecture and components
- Understanding scaling dimensions: vertical vs horizontal
Cluster Architecture and Design Patterns
- Designing large-scale multi-node clusters
- Shard allocation, replicas, and fault tolerance
- Cross-cluster search and replication strategies
Indexing and Data Management at Scale
- Efficient data ingestion pipelines
- Managing hot-warm-cold storage tiers
- Index lifecycle management and rollover policies
Performance Optimization and Benchmarking
- Measuring and improving query latency and throughput
- Heap sizing, thread pools, and circuit breakers
- Using Rally and Performance Analyzer for benchmarking
Monitoring, Observability, and Alerting
- Monitoring metrics with OpenSearch Dashboards
- Integration with Prometheus, Grafana, and CloudWatch
- Building automated alerts for critical thresholds
Security and Access Control at Scale
- Implementing fine-grained role-based access control
- Managing certificates and encrypted communication
- Auditing and compliance best practices
Scaling in the Cloud with AWS OpenSearch Service
- Scaling clusters automatically with AWS
- Integrating IAM, VPC, and CloudFormation
- Hybrid on-premises and AWS OpenSearch federation
Disaster Recovery, Backup, and Maintenance
- Snapshot and restore strategies
- Handling node failures and cluster instability
- Automated cluster maintenance and upgrades
Summary and Next Steps
Requisiti
- An understanding of distributed database concepts
- Experience with Linux or cloud infrastructure administration
- Familiarity with REST APIs and JSON data exchange
Audience
- DevOps and site reliability engineers
- Data engineers and backend developers
- Cloud architects managing large-scale search infrastructures
21 Ore
Recensioni (1)
Got to know new features in OS which I wasn't aware before.
