Now that we dealt with the “Infrastructure”: Let’s go for our service implementation using Spring Boot 2. Make sure that redis-server is running and maybe go to: for troubleshooting. I would advice you to go to and have a try on your own.įor all the people who don’t want to get off this page right now: Mac OS:Ĭould not connect to Redis at 127.0.0.1:6379: Connection refused. There are many ways of installing Redis on your machine. Lets get started – Redis Installation Guide Define after what time (TTL=time-to-live) our cached Entries are not valid anymore.Create dynamic CacheKeys: Cache depending on the input parameters of our methods.Gain more fine granular control by using the other available Annotations.Use Spring’s Integrated Annotation to cache results of method invocations using Spring Data Redis.Setting up the Redis Cache on your machine.To give you a short summary what we are about to do: In this Guide I want to give you the same powerful tools for your current and future Implementations. At the center of this is Spring Boot together with Redis. It has been a while since I wrote my article about ‘How We Made Our Spring Boot Applications More Robust with Redis Cache and Spring AOP‘, so I guess it is time to write another technical article about Redis and Spring Boot.ĭuring my last 2 years at work, I would say a lot of our current architecture is only possible by using Caching. The Ultimate Guide to Redis Cache with Spring Boot 2 will help you to fulfill all requirements. This article shows how you can use it for your caching needs. Spring Boot and Redis are a powerful combination.
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