Cache your JHipster with Caffeine

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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • Guava

    Google core libraries for Java

  • Caffeine provides an in-memory cache using a Google Guava inspired API. The improvements draw on our experience designing Guava’s cache and ConcurrentLinkedHashMap.

  • Caffeine

    A high performance caching library for Java

  • Learn more at https://github.com/ben-manes/caffeine

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • JHipster

    JHipster, much like Spring initializr, is a generator to create a boilerplate backend application, but also with an integrated front end implementation in React, Vue or Angular. In their own words, it "Is a development platform to quickly generate, develop, & deploy modern web applications & microservice architectures."

  • Special thanks to Sudharaka Palamakumbura who did the PR to integrate Caffeine. If you want to, like Sudharaka, help the project to grow up, come on the Github project.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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