Programa do Curso

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

Requisitos

  • 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 Horas

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