Azure Cache for Redis is based on the popular software Redis. It is typically used as a cache to improve the performance and scalability of systems that rely heavily on back-end data stores. Performance is improved by temporarily copying frequently accessed data to fast storage located close to the application. This fast storage is located in-memory with Azure Cache for Redis instead of being loaded from disk by a database.
Use the Azure public cloud integration to discover and collect metrics against the Azure service.
To set up the Azure integration and discover the Azure service, go to Azure Integration Discovery Profile and select
- Configurable in OpsRamp Azure Integration Discovery Profile.
|OpsRamp Metric||Metric Display Name||Unit||Aggregation Type|
Number of client connections to the cache during the specified reporting interval.
Total number of commands processed by the cache server during the specified reporting interval.
Number of successful key lookups during the specified reporting interval.
Number of failed key lookups during the specified reporting interval.
Number of get operations from the cache during the specified reporting interval
Number of set operations to the cache during the specified reporting interval.
Total number of commands processed per second by the cache server during the specified reporting interval.
|Operations Per Second||Count||Maximum|
Latency of the cache calculated based off the internode latency of the cache.
|Cache Latency Microseconds (Preview)||Count||Average|
Specific failures and performance issues that the cache could be experiencing during a specified reporting interval.
Percentage of total memory that is being used during the specified reporting interval
|Used Memory Percentage||Percent||Maximum|