Custom Scaling On Azure Container Apps Based On Redis Streams When you scale a cache up or down in the portal, both maxmemory reserved and maxfragmentationmemory reserved settings automatically scale in proportion to the cache size. for example, if maxmemory reserved is set to 3 gb on a 6 gb cache, and you scale to 12 gb cache, the settings automatically updated to 6 gb during scaling. To scale your azure cache for redis instances using azure cli, call the az redis update command. use the sku.capcity property to scale within a tier, for example from a standard c0 to standard c1 cache: azure cli. copy. az redis update cluster name mycache resource group mygroup set "sku.capacity"="2".
How To Run Enterprise Workloads At Scale With Azure Cache For Redis In the publishing dialog, select azure as the deployment target, and then select next. for the specific target, select azure container apps (linux), and then select next. create a new container app to deploy to. select the green icon to open a new dialog and enter the following values: container app name: leave the default value or enter a name. In this session, we'll discover what redis is, and the many ways azure redis cache can help you optimize your .net core applications, especially for cache as. Step 1: create an azure redis cache instance. log into the azure portal. search for “azure cache for redis” and click create. select resource group, and name your redis instance. choose a pricing tier based on your performance needs. review and create the instance. Azure cache for redis is applied to cache repeated web queries, session state, and web page view. it’s built with asp.net core. the sample code is available at azure cache redis demos eshop. in the sample application, the product catalog web page performance was measured by running azure load test.
Custom Scaling On Azure Container Apps Based On Redis Streams Step 1: create an azure redis cache instance. log into the azure portal. search for “azure cache for redis” and click create. select resource group, and name your redis instance. choose a pricing tier based on your performance needs. review and create the instance. Azure cache for redis is applied to cache repeated web queries, session state, and web page view. it’s built with asp.net core. the sample code is available at azure cache redis demos eshop. in the sample application, the product catalog web page performance was measured by running azure load test. Azure cache for redis provides us with a powerful in memory data store that can be used for distributed data, session stores or even message brokering. azure provides us with it’s own implementation of redis called azure cache for redis. this is an in memory data store that helps us improve the performance and scalability of our applications. Comparing side by side. the performance for web application using redis cache is presented by the blue line, and the web application without redis cache is presented by the red line. results show that the 90th percentile response times are 1.29s (cache) vs. 9.56s (no cache), and the throughputs are 2.14k s (cache) vs. 837 s (no cache).
Comments are closed.