Case Study

Why Architecting for Disaster Recovery Is Important For Your Time Series Data

Why Architecting for Disaster Recovery Is Important For Your Time Series Data

Why Architecting for Disaster Recovery Is Important For Your Time Series Data

Pages 15 Pages

Architecting disaster recovery for time series data ensures business continuity and data integrity against outages, ransomware, or regional failures. InfluxDB's enterprise-grade features—multi-region replication, continuous snapshots, hot/cold backups, and automated failover—enable Recovery Time Objectives (RTO) under 30 minutes and Recovery Point Objectives (RPO) of 1 hour or less. Capital One's fault-tolerant InfluxDB on AWS architecture across regions delivered real-time observability, machine learning predictions, and seamless recovery during DR exercises. This eliminates data loss, maintains observability, and protects mission-critical metrics driving customer uptime and operational resilience.

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