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A Functional Load Balancer with Scala, Http4s and Cats Effect

Rock the JVM

Project Structure We will use Scala 3.3.0, Using a dedicated Url type makes the code more self-explanatory and provides a clear and meaningful abstraction for URLs. and several monumental libraries to complete our project. val MunitVersion = "0.7.29" val LogbackVersion = "1.4.11" val MunitCatsEffectVersion = "1.0.7" currentOpt.

Scala 105
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A guide to UDP in Scala with FS2

Rock the JVM

The UDP header is fixed at 8 bytes and contains a source port, destination port, the checksum used to verify packet integrity by the receiving device, and the length of the packet which equates to the sum of the payload and header. Setting Up Let’s create a new Scala 3 project and add the following to your build.sbt file. isOpen ()) {.

Scala 90
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Two-Factor Authentication in Scala with Http4s

Rock the JVM

If you want to master the Typelevel Scala libraries (including Http4s) with real-life practice, check out the Typelevel Rite of Passage course, a full-stack project-based course. HMAC-based One Time Password (HOTP) The H in HOTP stands for HMAC (Hash-based Message Authentication Code). We can now use hotp to generate the code.

Scala 92
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Modern Data Engineering: Free Spark to Snowpark Migration Accelerator for Faster, Cheaper Pipelines in Snowflake

Snowflake

With familiar DataFrame-style programming and custom code execution, Snowpark lets teams process their data in Snowflake using Python and other programming languages by automatically handling scaling and performance tuning. It provided us insights as to code compatibility and allowed us to better estimate our migration time.”

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Why We Do Scala in Zalando

Zalando Engineering

Leveraging the full power of a functional programming language In Zalando Dublin, you will find that most engineering teams are writing their applications using Scala. We will try to explain why that is the case and the reasons we love Scala. How I came to use Scala I have been working with JVM for the last 18 years.

Scala 40
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Apache Spark vs MapReduce: A Detailed Comparison

Knowledge Hut

quintillion bytes of data are created every single day, and it’s only going to grow from there. MapReduce is written in Java and the APIs are a bit complex to code for new programmers, so there is a steep learning curve involved. It also supports multiple languages and has APIs for Java, Scala, Python, and R.

Hadoop 96
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The Ultimate Guide to Java Virtual Threads

Rock the JVM

Riccardo is a proud alumnus of Rock the JVM, now a senior engineer working on critical systems written in Java, Scala and Kotlin. So, all the code snippets in this article will use the following logger: static final Logger logger = LoggerFactory. The code is not easy to read and understand. getLogger ( App. getLogger ( App.

Java 145