{"id":514854,"date":"2022-05-27T08:24:51","date_gmt":"2022-05-27T06:24:51","guid":{"rendered":"https:\/\/www.devoteam.com\/expert-view\/how-to-apply-caching-strategy-part-2\/"},"modified":"2022-05-27T08:24:51","modified_gmt":"2022-05-27T06:24:51","slug":"how-to-apply-caching-strategy-part-2","status":"publish","type":"expert-view","link":"https:\/\/devoteam.info\/be\/expert-view\/how-to-apply-caching-strategy-part-2\/","title":{"rendered":"Blog Series, Part II: How to apply caching strategy in a Mule4 project?"},"content":{"rendered":"\n

In my previous post, I briefly introduced what is cache and how it works. <\/em><\/p>\n\n\n\n

In this post, we will understand the importance of the best strategy to implement it in a Mule project and the validity of the data being cached. Bear in mind that a successful cache results in a high hit rate which means the data was present when fetched. A cache miss occurs when the data fetched was not present in the cache.<\/em><\/p>\n\n\n\n

Applying Caching strategy in a Mule Project<\/h3>\n\n\n\n

This section of this blog is a sequel to my previous blog post about the advantages and disadvantages of applying caching in Mule4. If you have decided to deep dive here, I will demonstrate how to accomplish it inside a Mule4 project.<\/p>\n\n\n\n

In this post, I will demonstrate how to accomplish caching inside<\/strong> the Mule application. <\/p>\n\n\n\n

In my next post, I will demonstrate how to apply a HTTP Caching Policy from CloudHub. <\/p>\n\n\n\n

Once you identify the flow or components where caching will be applied, follow the steps mentioned below.  <\/p>\n\n\n\n

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