AOSREL04-BP01 Implement a disaster recovery (DR) strategy for your OpenSearch Service for business continuity
Protect your Amazon OpenSearch Service with a disaster recovery plan, which improves business continuity in case of disruptions by minimizing downtime, data loss, and risk.
Level of risk exposed if this best practice is not established: High
Desired outcome: You have a disaster recovery plan for your OpenSearch Service to maintain business continuity in case of disruptions.
Benefits of establishing this best practice: Implementing a disaster recovery strategy for your Amazon OpenSearch Service minimizes downtime and data loss in the event of an outage or disaster. This proactive approach protects sensitive data, reduces risk, and improves business continuity, enabling high availability and rapid service restoration.
Implementation guidance
To maintain business operations during emergencies, create an effective disaster recovery (DR). This plan should outline steps to recover the system within defined Recovery Time Objective (RTO) and Recovery Point Objective (RPO) timeframes.
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Collaborate with business stakeholders to determine the internal and external service-level agreements (SLAs) for your workloads, taking into account their criticality. This will help inform the development of disaster recovery (DR) plans that match the severity of potential outages.
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Design a tailored DR solution for each layer of your workloads, considering the specific requirements of each. For example, if you're ingesting logs from multiple systems directly into OpenSearch, storing them in Amazon S3 before processing can keep your data consistent during failures. Similarly, implementing a queue system like Amazon Managed Streaming for Apache Kafka or Amazon SQS between data sources and OpenSearch can facilitate the replaying of changes that occurred during downtime.
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Regularly implement and test your backup and restoration tools to guarantee they're functioning correctly, ensuring business continuity in the event of an outage.