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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.
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.
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.
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.
Here are some real-world scenarios where monitoring your Azure Redis cache can be useful:
|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.|
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!
Applications Manager also offers monitoring for the following Microsoft Azure services:
It allows us to track crucial metrics such as response times, resource utilization, error rates, and transaction performance. The real-time monitoring alerts promptly notify us of any issues or anomalies, enabling us to take immediate action.
Reviewer Role: Research and Development