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Client-Side Geographic Failover

1 post · Sep 2026

What this trail covers

Redis Cloud Pro now offers Active-Active Redis, distributing data across multiple regions for high availability. This is complemented by the `MultiDBClient` in redis-py, which provides client-side geographic failover. The `MultiDBClient` manages health monitoring, weighted endpoint selection, failover, failback, and retries, abstracting these complexities from application developers. It utilizes a circuit-breaker pattern for failure detection and offers configurable health-check policies (HEALTHY_ALL, HEALTHY_ANY, HEALTHY_MAJORITY) to balance failover speed with tolerance for transient failures. Observability is enhanced through runtime notifications and Prometheus metrics.

All Redis trails
  1. Stay up when a region goes down: Highly available Redis for Python apps | RedisThis post introduces the `MultiDBClient` for redis-py, a new capability for client-side geographic failover. It details the implementation of `MultiDBClient`, including `DatabaseConfig` and `MultiDbConfig` for managing multiple regional Redis instances. The post explains the use of a circuit-breaker pattern for failure detection, complementary to proactive background health checks. It outlines health-check policies (HEALTHY_ALL, HEALTHY_ANY, HEALTHY_MAJORITY) and their impact on performance, along with configuration options for high-throughput scenarios. Observability features, such as runtime notifications and Prometheus metrics (`redis.client.geofailover.failovers`), are also described.