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Azure Cache for Redis Monitoring

Azure Cache for Redis monitoring

Azure cache for Redis is a caching-based service from Azure that uses Redis for storing and retrieving data quickly. It enables you to access data instantly from memory and stores different kinds of data for instantaneous access, enabling your application to have enhanced performance and better scalability overall.

Monitoring Azure cache for Redis can be challenging due to its elastic and dynamic nature as well as the number of resources deployed. Applications Manager's Azure Redis cache monitoring enables you to monitor your Redis cache instances hosted on your Azure cloud and gives complete visibility into their performance within a single window. It helps you to track the performance of your cache instances and provides in-depth insights into clustering as well as geo-replication methods used for your cache instance, ensuring high scalability and reliability of data access for your caching applications.

With Applications Manager's Azure Redis Cache monitoring, you can:

Monitor the KPIs of Azure Redis cache

Visualize the performance of your Azure Redis cache metrics and obtain a comprehensive overview on how they are performing in real-time. Estimate the throughput performance of your cache instance by measuring the number of commands along with the rate of operations performed on your cache instance to derive the workload activity of your Redis server.

Keep a close watch on the number of errors obtained while processing requests by the cache instance as well as the status of various keys present in the cache to free up additional space and allocate resources in case of performance overloads.

Track the performance of your cache server

  • Measure the effectiveness of your caching strategy by obtaining detailed stats on the performance of cache hits/misses as well as the rate of reads/writes performed on your cache instance. Get alerts in case of abnormal increase in the values to aid you in analyzing and optimizing cache usage effectively.
  • Keep constant checks on the CPU utilized and the server load of your cache instance to ensure the cache resources are not overutilized/underutilized.
  • Keep track of the memory utilized by your cache instance, including fragmentation and metadata, and plan for setting up expiration and eviction policies accordingly to remove unwanted keys from cache and reduce memory pressure overall.

Analyze the performance of individual shards

Ensure high availability of your clustered caches by tracking various shard partitions in your cache instance. Analyze the performance of individual shards present in your cache cluster by monitoring key metrics such as Cache Hits/Misses, Memory Usage, Commands and operations, CPU usage and server load, similar to that of cache instance. Compare the performance of two or more shards based on the required metrics and take appropriate steps to manage your cache data across multiple nodes for better reliability and scalability.

Track the geo-replication status of your cache server

  • Improve the availability and performance of your cache data across various geographic regions by tracking the geo-replication group status of your cache instances in real-time.
  • Find out the number of geo-replication links that are healthy to ensure they are properly established and active.
  • Calculate the connectivity lag in synchronizing data with your geo-primary cache along with the amount of data that is yet to be synchronized with the geo-secondary cache to take proper measures in case of disaster recovery and load balancing.

Get notified of Azure Redis Cache performance issues

Set up alerts and get notified early about potential impacts and take necessary actions to mitigate any performance issues with Azure Redis cache. You can get alerts in a medium of your choice such as SMS, e-mail or Slack.

You may then automate corrective tasks using web hooks to start external actions or even integrate with your ITSM tools such as ServiceNow or ManageEngine ServiceDesk Plus.

Azure Cache for Redis monitoring use cases

Here are some real-world scenarios where monitoring your Azure Redis cache can be useful:

Use Case Description
Caching If you use Azure Redis Cache for caching purposes in web applications, monitoring will help ensure it is effectively reducing database load and improving application performance.
Application monitoring If you store application logs or user session data on Azure Redis Cache, monitoring can provide insights into application usage and performance.
Database performance Azure Redis cache can be used to store frequently accessed data in memory and improve the performance of database-driven applications. Monitoring the cache can identify slow queries or other performance issues.
Internet of Things (IoT) If you use Azure Redis cache to store and retrieve sensor data in real time, you can ensure that sensor data is being processed efficiently and that your IoT applications are responsive.
Streaming Identify any bottlenecks or performance issues in streaming applications that use Azure Redis cache to handle high volumes of data.
Real-time analytics If you use Azure Redis cache to store real-time analytics data, monitoring can provide insights into trends and help with decision making.

Get started with Azure Cache for Redis monitoring in minutes!

Applications Manager provides a way to eliminate the visibility gaps left by native Azure monitoring tools and is easy to set up. Discover more on our Azure monitoring capabilities by downloading a 30-day free trial today!

Supported Azure monitoring services

Applications Manager also offers monitoring for the following Microsoft Azure services:

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