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In this example, the code uses Play WS Standalone as a REST client to fetch JSON containing a UUID. Play WS has an asynchronous, non-blocking API based on Future, so you need to provide an ExecutionContext via Akka. That's all the boilerplate at the beginning of this example. Sometimes it will be done for you as when you use Play WS in the context of Play Framework. Nonetheless, you should be aware it has to happen somewhere.
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Scala became really popular with the advent of "Big Data" because functional programming lends itself so naturally to analytics, and the learning curve for modern LISPs like Haskell and Clojure is too high for too many. Apache Spark is built in Scala, and when it got big, Scala got big. Since then Scala has also become a popular language for other domains including reactive web applications and microservices with Play Framework and Akk and even the front end with Scala.js.
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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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Scala became really popular with the advent of "Big Data" because functional programming lends itself so naturally to analytics, and the learning curve for modern LISPs like Haskell and Clojure is too high for too many. Apache Spark is built in Scala, and when it got big, Scala got big. Since then Scala has also become a popular language for other domains including reactive web applications and microservices with Play Framework and Akk and even the front end with Scala.js.
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Operationally, as you might expect from a language borne from academia, Scala tooling can be problematic and compilation can be slow--particularly if you are not yet using Scala 3, which only recently emerged and is very slowly percolating through the ecosystem (Remember the Python 2 to Python 3 transition?). But type inference, a vast standard library, and the time-tested reliability of the JVM make you very productive once you get the hang of them. Performance varies with the JVM you're running, but regardless you do have to contend with the size of compiled objects and the latency of garbage collection at runtime. When you want to experiment, you can skip the ceremony of writing a class or test and instead use a command-line REPL, an online REPL called Scastie you can share, or an outstanding third-party command-line REPL called Ammonite. Dependency management is achieved with SBT typically but also more general JVM build tools like Gradle and Maven.
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After Go took off at Google and was released to the public, it got really popular as the language of concurrency, which helped in turn to make it the language of DevOps--particularly in concert with Kubernetes, which also emerged from Google. Go has expanded into other domains as well with the CMS Hugo and the microservices framework Go kit.
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After Go took off at Google and was released to the public, it got really popular as the language of concurrency, which helped in turn to make it the language of DevOps--particularly in concert with Kubernetes, which also emerged from Google. Go has expanded into other domains as well with the CMS Hugo and the microservices framework Go kit.
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Scala became really popular with the advent of "Big Data" because functional programming lends itself so naturally to analytics, and the learning curve for modern LISPs like Haskell and Clojure is too high for too many. Apache Spark is built in Scala, and when it got big, Scala got big. Since then Scala has also become a popular language for other domains including reactive web applications and microservices with Play Framework and Akk and even the front end with Scala.js.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.