Design principles
The AWS Well-Architected Framework identifies a set of general design principles to facilitate good design in the cloud for building and managing OpenSearch domains.
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High availability: Provide high availability and fault tolerance by implementing Multi-Availability Zone (AZ) deployments. Distribute nodes across different Availability Zones to mitigate the impact of potential failures.
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Scalability: Design the Amazon OpenSearch Service domain to handle increasing loads and data volumes through horizontal scaling.
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Monitoring and logging: Implement comprehensive monitoring using tools like Amazon CloudWatch. Set up alerts for critical metrics, track system performance, and establish logging practices to facilitate troubleshooting and auditing.
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Security best practices: Enforce secure communication using encryption protocols such as Transport Layer Security (TLS). Deploy your domain within a Virtual Private Cloud (VPC) to avoid it being publicly accessible. Implement access controls, such as fine-grained access control, to enhance authentication, and authorization mechanisms to safeguard data and control access to the OpenSearch cluster.
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Cost efficiency: Optimize resource utilization to control costs. Optimize Amazon OpenSearch Service costs by selecting the most suitable instance type and configurations that match workload demands. Monitor and adjust resources as needed to maintain cost-effectiveness.
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Performance optimization: Optimize query performance by fine-tuning the OpenSearch configuration. Use index optimization techniques, caching mechanisms, and efficient shard allocation to enhance overall system responsiveness.
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Data lifecycle management: Define policies for data retention, archival, and deletion based on business requirements. Implement data lifecycle management practices to manage storage and maintain Amazon OpenSearch Service performance efficiently over time.
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Data backup and recovery: Establish a robust backup and recovery strategy, including regular snapshots of the Amazon OpenSearch Service indices. Test the restoration process to ensure data integrity and minimize downtime in case of data loss.
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Disaster recovery planning: Develop and test a comprehensive disaster recovery plan. Implement failover mechanisms and practice disaster recovery drills to validate the effectiveness of the plan in real-world scenarios.
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Upgradability and compatibility: Plan for regular upgrades of Amazon OpenSearch Service versions to benefit from new features, improvements, and security patches. Ensure compatibility with your applications and dependencies during the upgrade process.