InfoQ Homepage Programming Content on InfoQ
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Embracing Cloud-Native for Apache DolphinScheduler with Kubernetes: a Case Study
This article shares how Apache DolphinScheduler was updated to use a more modern, cloud-native architecture. This includes moving to Kubernetes and integrating with Argo CD and Prometheus. This improves substantially the user experience of deploying, operating, and monitoring DolphinScheduler.
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Developing a Cloud-Native Application on Microsoft Azure Using Open Source Technologies
Cloud native is a development approach that improves building, maintainability, scalability, and deployment of applications. My intention with this article is to explain, in a pragmatic way, how to build, deploy, run, and monitor a simple cloud-native application on Microsoft Azure using open-source technologies.
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DevOps and Cloud InfoQ Trends Report – June 2022
This article summarizes how we see the "cloud computing and DevOps" space in 2022, which focuses on fundamental infrastructure and operational patterns, the realization of patterns in technology frameworks, and the design processes and skills that a software architect or engineer must cultivate.
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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.
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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.
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What You Should Know before Deploying ML in Production
What should you know before deploying machine learning projects to production? There are four aspects of Machine Learning Operations, or MLOps, that everyone should be aware of first. These can help data scientists and engineers overcome limitations in the machine learning lifecycle and actually see them as opportunities.
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How to Accelerate Your Staff+ Career through Open Source Engagement
It takes many factors for an engineer to land a Staff+ position. In this article, you’ll find how contributing and engaging to open-source can help you sharpen critical Staff+ skills like writing communication, while helping increase your visibility and the odds of landing in such a position.
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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.
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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.
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AI for Software Developers: a Future or a New Reality?
In this article, author Nikita Povarov discusses the role AI/ML plays in software development and how tasks like code completion, code search, and bug detection can be powered by machine learning. But he also explains why a complete replacement of programmers by algorithms isn't going happen any time soon.
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Adaptability by Agreement: Valuing Outcomes over Imposed Solutions
In the pursuit of agile at scale, the landscape is dominated by process-driven approaches which are broken. This article explores a solution-driven rollout approach, one that puts authentic agreement on outcomes before solutions. The principles on which it is based are also effective as leadership strategies, where frameworks are resources to draw upon as people find fitting solutions.
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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.