Azure Redis Cache is a fully-managed in-memory data storage service that offers cloud applications high-performance caching and data storage. With Azure Redis Autoscaling, you can dynamically scale up or down your cache based on usage patterns, ensuring that your application always has the necessary capacity to handle the traffic. This feature optimizes your costs by preventing overprovisioning and ensuring you only pay for the resources you require. Azure Redis Autoscaling is available for caches on the Premium tier and can be configured via the Azure portal. Through the use of Azure Redis Autoscaling, you can enhance the scalability and availability of your cloud applications and provide your customers with a better user experience.
The following is a quick guide for configuring Azure Redis Autoscaling. Our Redis Server Support team is available to answer your questions and address your concerns.
Configure the scaling settings within the Azure portal to enable autoscaling for Azure Redis Cache. You can scale according to the following metrics:
CPU usage
Azure Redis Autoscaling enables the scaling up or down of your cache based on CPU utilization. CPU usage is a metric that measures the percentage of CPU utilization by the cache, indicating how much processing power is being used by the cache to handle requests. By configuring autoscaling to scale based on CPU utilization, you can ensure that your cache has the sufficient processing power to handle traffic even during peak usage periods. Azure Redis Autoscaling will automatically scale up the cache by adding more CPU resources when CPU utilization exceeds a user-defined threshold, thereby preventing performance bottlenecks and ensuring that your application is highly responsive. Similarly, if the CPU utilization falls below a certain threshold, Azure Redis Autoscaling will scale down the cache, reducing costs by eliminating unused resources. With Azure Redis Autoscaling, you can ensure that your cache is always optimized for efficiency and performance.
Memory access
Azure Redis Autoscaling allows your cache to be scaled up or down based on memory usage. Memory usage is a metric that indicates how much memory the cache is using to store data by measuring the percentage of memory utilization. By configuring autoscaling to scale based on memory usage, you can ensure that your cache has sufficient memory to handle traffic even during periods of peak usage. When the memory usage exceeds a specified threshold, Azure Redis Autoscaling will automatically scale up the cache by adding additional memory resources, thereby preventing performance bottlenecks and ensuring that your application is highly responsive. Similarly, if memory usage falls below a certain threshold, Azure Redis Autoscaling will scale down the cache, reducing costs by eliminating unused resources. With Azure Redis Autoscaling, you can guarantee that your cache is always optimized for performance and cost efficiency and that you only pay for the resources you utilize.
Throughput
Azure Redis Autoscaling allows your cache to be scaled up or down based on throughput. Throughput is a metric that measures the number of cache operations per second and indicates the amount of traffic the cache is handling. By configuring autoscaling to scale based on throughput, you can guarantee that your cache has sufficient capacity to handle traffic even during peak usage periods. When the throughput exceeds a specified threshold, Azure Redis Autoscaling will automatically scale up the cache by adding more resources, thereby preventing performance bottlenecks and ensuring that your application is responsive. If the throughput falls below a certain threshold, Azure Redis Autoscaling will scale down the cache, reducing costs by removing unused resources. With Azure Redis Autoscaling, you can guarantee that your cache is always optimized for performance and cost efficiency and that you only pay for the resources you utilize.
Once the scaling settings have been configured, Azure Redis Cache continuously monitors usage patterns and scales the cache up or down as necessary. This guarantees that your application always has sufficient capacity to handle traffic and provides a seamless user experience.
Autoscaling is only available for caches in the Premium tier. If you have a cache of the Standard tier, you must manually adjust its size based on your usage patterns.
Conclusion
Azure Redis Autoscaling is a powerful feature that enables dynamic scaling of your cache based on usage patterns. By configuring autoscaling to scale based on CPU usage, memory usage, or throughput, you can ensure that your cache always has sufficient capacity to handle the traffic while optimizing your costs by removing unused resources. This feature is especially useful for cloud applications that experience traffic and demand fluctuations, as it allows you to maintain high performance and availability without overprovisioning. With Azure Redis Autoscaling, you can enhance the scalability, efficiency, and user experience of your cloud applications.
Our Server Support team demonstrated how to configure Redis Autoscaling.