{"id":4814,"date":"2022-08-31T08:00:05","date_gmt":"2022-08-31T15:00:05","guid":{"rendered":"https:\/\/devblogs.microsoft.com\/cosmosdb\/?p=4814"},"modified":"2022-08-31T08:01:55","modified_gmt":"2022-08-31T15:01:55","slug":"announcing-integrated-cache-general-availability","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/cosmosdb\/announcing-integrated-cache-general-availability\/","title":{"rendered":"Announcing General Availability of Azure Cosmos DB integrated cache"},"content":{"rendered":"

Reduce costs and latency for <\/span>read<\/span>–<\/span>heavy<\/span> workloads with <\/span>Azure Cosmos DB integrated cache<\/span>, <\/span>an in-memory cache<\/span> that\u2019s<\/span> now generally available<\/span>. <\/span>In addition to increasing speed and decreasing costs, adding an integrated cache<\/span> simplifies your<\/span> architecture<\/span> and application complexity<\/span>, allow<\/span>ing<\/span> you to <\/span>focus <\/span>on building<\/span> your<\/span> business logic<\/span>. The integrated cache is <\/span>built<\/span> into the Azure Cosmos DB <\/span><\/span>dedicated gateway<\/span><\/span><\/a> and can b<\/span>e <\/span>utilized<\/span> with <\/span>minimal changes to your application.<\/span> This allows you to get all the benefits of a traditional cache without any of the application overhead.<\/span><\/span>\u00a0<\/span><\/p>\n

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Save costs on database reads<\/span><\/span>\u00a0<\/span><\/h3>\n

Integrated cache can reduce database costs for many workloads<\/span>. For example, <\/span>it will cost 0 request units (RUs) to serve <\/span>a<\/span> read from the <\/span>integrated <\/span>cache<\/span> if no <\/span>cache refresh<\/span> is <\/span>required<\/span>.<\/span> This is true<\/span> for point reads or queries<\/span>,<\/span> regardless of <\/span>the complexity of the query<\/span> or the size of data returned<\/span>.<\/span> This<\/span> is useful<\/span> for:<\/span><\/span>\u00a0<\/span><\/p>\n