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Handling Flaky Unit Tests in Java

Uber Engineering

Unit testing forms the bedrock of any Continuous Integration (CI) system. It also … The post Handling Flaky Unit Tests in Java appeared first on Uber Engineering Blog. It warns software engineers of bugs in newly-implemented code and regressions in existing code, before it is merged.

Java 105
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Translating Java to Kotlin at Scale

Engineering at Meta

Meta has been on a years-long undertaking to translate our entire Android codebase from Java to Kotlin. We could simply decide to write all new code in Kotlin and leave our existing Java code as is, just as many other companies have. As long as we have substantial amounts of Java, we need to continue supporting parallel tool chains.

Java 82
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The Future of Java: Top Trends and Technologies

Knowledge Hut

For over 2 decades, Java has been the mainstay of app development. Another reason for its popularity is its cross-platform and cross-browser compatibility, making applications written in Java highly portable. These very qualities gave rise to the need for reusability of code, version control, and other tools for Java developers.

Java 97
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How to Analyze Java Class at Runtime Using Java Reflection API?

Workfall

Reflection API is one of the best features in Java. In simple words, it refers to the ability of a running Java program to look at itself and understand its own internal details. The builder tool can understand and manipulate the properties of Java components (classes) as they are loaded into the program. Click Next to continue.

Java 70
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Speed Up Your Analytics With The Alluxio Distributed Storage System

Data Engineering Podcast

Summary Distributed storage systems are the foundational layer of any big data stack. Alluxio is a distributed virtual filesystem which integrates with multiple persistent storage systems to provide a scalable, in-memory storage layer for scaling computational workloads independent of the size of your data.

Systems 100
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Fault Tolerance in Distributed Systems: Tracing with Apache Kafka and Jaeger

Confluent

Using Jaeger tracing, I’ve been able to answer an important question that nearly every Apache Kafka ® project that I’ve worked on posed: how is data flowing through my distributed system? Before I discuss how Kafka can make a Jaeger tracing solution in a distributed system more robust, I’d like to start by providing some context.

Kafka 54
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How to find dead code in your Java services

Picnic Engineering

At Picnic we use one of the tools that almost every Java developer has, directly or indirectly, interacted with: the Java Code Coverage Library (JaCoCo). It collects coverage metrics by instrumenting the bytecode through a Java agent when the Java class loader loads the classes. java files matching the revision.

Java 75