![]() Using Redis for ASP.NET Session State and Output Caching For an example of an end to end application using Azure Redis Cache, please check out the MVC Movie Application blog post. You have now stored and retrieved a “Hello World” string from a Redis cache instance running on Azure. Items can be stored in and retrieved from a cache by using the StringSet and StringGet methods (or their async counterparts – StringSetAsync and StringGetAsync). IDatabase cache = connection.GetDatabase() Once the connection is established, retrieve a reference to the Redis cache database, by calling the ConnectionMultiplexer.GetDatabase method. Var connection = (".net,ssl=true,password=.") Once you’ve retrieved these, create a connection instance to the cache with the code below: ![]() Then, obtain the cache endpoint and key respectively from the Properties blade and the Keys blade for your cache instance within the Azure Preview Portal. First open any Visual Studio project and add the StackExchange.Redis NuGet package to it, with the NuGet package manager. NET Redis client called StackExchange.Redis to connect to our Azure Redis Cache instance. The API + libraries are exactly the same.īelow we’ll use a. You use the same Redis client packages that you’d use to connect to your own Redis instance as you do to connect to an Azure Redis Cache service. You can then use a wide variety of programming languages and corresponding client packages to connect to the Redis Cache you’ve provisioned. Simply select the New->Redis Cache item to create a new instance. ![]() You can create a new instance of a Redis Cache using the Azure Preview Portal. ![]() Create a New Redis Cache and Connect to It This helps ensure the availability of the cache and the data stored within it.ĭetails on Azure Redis Cache pricing can be found on the Azure Cache pricing page. With the Standard edition, we manage replication between the two nodes and perform an automatic failover in the case of any failure of the Master node (because of either an un-planned server failure, or in the event of planned patching maintenance). Standard – A multi-node, replicated cache configured in a two-node Master/Replica configuration for high-availability, and backed by an enterprise SLA.Basic – A single cache node, without a formal SLA, recommended for use in dev/test or non-critical workloads.We plan to support even higher-memory options in the future.Įach Redis cache size option is also offered in two editions: The Azure Redis Cache Service is today offered in the following sizes: 250 MB, 1 GB, 2.8 GB, 6 GB, 13 GB, 26 GB, 53 GB. This allows it to be used by nearly any application, running on either Windows or Linux, that you host inside of Azure. This is reflected in the diverse set of Redis clients available across multiple languages. Other features include support for transactions, pub/sub, Lua scripting, keys with a limited time-to-live, and configuration settings to make Redis behave more like a traditional cache.įinally, Redis has a healthy, vibrant open source ecosystem built around it. Unlike traditional caches which deal only with key-value pairs, Redis is popular for its support of high performance data types, on which you can perform atomic operations such as appending to a string, incrementing the value in a hash, pushing to a list, computing set intersection, union and difference, or getting the member with highest ranking in a sorted set. The Azure Redis Cache is now the recommended distributed cache solution we advocate for Azure applications. The Azure Redis Cache service provides the ability for you to use a secure/dedicated Redis cache, managed as a service by Microsoft. I’m excited to announce the General Availability of the Azure Redis Cache. Below are more details about them: Redis Cache: General Availability of Redis Cache Service ![]()
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