Azure Managed Redis is Microsoft’s fully managed, enterprise-tier in-memory data store. It is designed for the low-latency caching, session storage, and real-time data needs of modern applications, including AI workloads that depend on fast vector and embedding lookups. Because user-facing applications often query Redis directly, even small regressions in latency, hit rate, or memory pressure can degrade the user experience.
Datadog’s Azure Managed Redis integration gives teams full visibility into the activity, utilization, and performance of their cache instances, with no agent to install. Once the integration is configured, Managed Redis metrics flow into Datadog automatically and populate out-of-the-box (OOTB) dashboards and monitors.
In this post, we’ll explore how to:
Monitor Azure Managed Redis metricsCatch performance regressions before they affect usersOptimize Azure Managed Redis cache efficiency and capacity
Monitor Azure Managed Redis metrics
