BT

Facilitating the Spread of Knowledge and Innovation in Professional Software Development

Write for InfoQ

Topics

Choose your language

InfoQ Homepage Languages Content on InfoQ

  • Gatling vs JMeter - What to Use for Performance Testing

    A performance tool with a graphical interface will probably be easier to use at the beginning, but the idea of a performance test as code is the future. Tests are readable and much easier to maintain. Many people are skeptical about Gatling because it requires learning a new programming language - Scala. However, Java is supported with the release of Gatling 3.7.

  • Kafka Streams and Quarkus: Real-Time Processing Events

    Consuming Kafka messages is simple; you get them as long as they are produced, but nothing more. But if you need real-time processing of the data (filtering, joining, or manipulating events), just using the Kafka-consuming API might not be the best approach as the resulting code becomes complex. Kafka Streams and Quarkus are the perfect matches to start processing Kafka events in real-time.

  • The Compounding (Business) Value of Composable Ecosystems

    Being “free” and open source doesn’t hinder the value of these projects to businesses and end users; rather it unlocks it. The composability of open source ecosystems allows the innovation and value of the whole ecosystem to compound on itself.

  • Data Oriented Programming in Java

    Project Amber has brought a number of new features to Java in recent years. While each of these features are self-contained, they are also designed to work together. Specifically, records, sealed classes, and pattern matching work together to enable easier data-oriented programming in Java.

  • Reduce Carbon Dioxide Emissions with Serverless and Kubernetes Native Java

    Moving application workloads to multi- and hybrid cloud platforms causes more carbon dioxide emissions, although better scalability and performance. Serverless and Kubernetes Native Java enable developers to solve the global climate changes by reducing carbon dioxide emissions by natively native features with milliseconds first boot time, tiny resident set size memory and scalability.

  • Introduction to Apache Beam Using Java

    Apache Beam is a stream processor, helping developers migrate work between different processes to offload work onto runners that leverage external resources.

  • Standardizing Native Java: Aligning GraalVM and OpenJDK

    Native Java is essential for Java to remain relevant in the evolving cloud world. But it is not a solved problem yet. And the development lifecycle needs to adapt as well. Standardization through Project Leyden is key to the success of native Java. Native Java needs to be brought into OpenJDK to enable co-evolution with other ongoing enhancements.

  • Go Native with Spring Boot and GraalVM

    Spring Boot 3 & Spring Framework 6, due in late 2022, will have built-in support for native Java. For Spring Framework 5.x & Spring Boot 2.x, Spring Native is the way to go. Spring Native provides integrations for Spring's vast ecosystem of libraries. It also has a component model that allows you to extend native compilation support for other libraries.

  • Article Series: Native Compilation Boosts Java

    Java dominates enterprise applications. But in the cloud, Java is more expensive than some competitors. Native compilation makes Java in the cloud cheaper. It raises many questions for all Java users: How does native Java change development? When should we switch to native Java? When should we not? And what framework should we use for native Java? This series provides answers to these questions.

  • Cloud Native Java with the Micronaut Framework

    The Micronaut framework provides a solid foundation for building Cloud Native Java microservices. It reduces the use of Java reflection, runtime proxy generation, and dynamic classloading. Tight integration with GraalVM Ahead-of-Time Compilation (AOT) has seen the usage of the Micronaut framework grow.  Active compilation-time checking increases type safety and improves developer productivity.

  • Getting Started to Quarkus Reactive Messaging with Apache Kafka

    How data is processed/consumed nowadays is different from how it was once practiced. In the past, data was stored in a database and it was batch processed for analytics. Apache Kafka is a distributed event store and stream-processing platform for storing, consuming, and processing data streams in real-time. In this post, we’ll learn how to produce and consume data using Apache Kafka and Quarkus.

  • Designing Secure Tenant Isolation in Python for Serverless Apps

    Software as a Service (SaaS) has become a very common way to deliver software today. While providing the benefits of easy access to users without the overhead of having to manage the operations themselves, this flips the paradigm and places the responsibility on software providers for maintaining ironclad SLAs, as well as all of the security and data privacy requirements.

BT