InfoQ Homepage Development Content on InfoQ
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Experts Discuss Top Kubernetes Trends and Production Challenges
Kubernetes growth has led to cultural, technological and operational challenges. InfoQ caught up with Kubernetes experts and implementers who talk about 2-3 top trends and challenges that are facing the platform.
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Agile Development Applied to Machine Learning Projects
Machine learning is a powerful new tool, but how does it fit in your agile development? Developing ML with agile has a few challenges that new teams coming up in the space need to be prepared for - from new roles like data scientists to concerns in reproducibility and dependency management.
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How to Build Interactive Data Visualizations for Python with Bokeh
In this article, the author shows how to use one of the powerful Python tools Bokeh in creating data visualizations with custom charts.
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Is Ruby Pass-by-Value Or Pass-by-Reference?
This article will delve into Ruby internals to explain how parameters are passed into functions. As you will see, it is not immediate to say if Ruby passes parameters by value or by reference, but understanding how this works will help you to write better programs.
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Boosting WebAssembly Performance with SIMD and Multi-Threading
Early implementations of WebAssembly's SIMD and multi-threading proposals show that WebAssembly is narrowing the gap with native performance, by using SIMD instructions and multicore CPUs. Significant performance improvements have been observed in compute-intensive tasks (machine-learning, bio-informatics, scientific computing).
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Improving the Performance of a Route Editor Using a Quadtree
A quadtree is a tree data structure that allows the user to partition a two-dimensional space and to quickly find the intersection of objects. In this article we show how we used it to improve the performance of our route editor.
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Creating an Android Face Filter App Using Banuba Face AR SDK
This article is going to provide a step-by-step guide on how to create an Android face filter app using Banuba Face AR SDK. We will also discuss how face filters work and the advantages of using Banuba Face Filter Catalogue for implementing face filters in your app.
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Testing Quarkus Web Applications: Component & Integration Tests
Quarkus is a full-stack, Kubernetes-native Java framework made for Java virtual machines (JVMs) and native compilation. Instead of reinventing the wheel, Quarkus uses well-known enterprise-grade frameworks backed by standards/specifications and makes them compilable to a binary using Graal VM. This article focuses on using some of the Quarkus testing facilities.
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Piercing the Fog: Observability Tools from the Future
Visibility into those distributed systems and how they are performing is challenging. Despite all the observability tools available for site reliability, debugging remains incredibly difficult, and many SREs would agree that their debugging processes have only marginally improved. This article explores how observability for troubleshooting could be done from the user’s point of view.
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How DSLs Withstand the Test of Time
Domain-specific languages let domain experts participate in the software development process. Few DSLs however withstand the test of time. Key success factors for longstanding DSLs seem to be user-centered design and adhering to the open–closed principle. Markdown, TeX, and CSS, have remained popular and relevant for two decades, even as their original target audience evolved.
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Performance Tuning Techniques of Hive Big Data Table
In this article, author Sudhish Koloth discusses how to tackle performance problems when using Hive Big Data tables.
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Virtual Panel: the MicroProfile Influence on Microservices Frameworks
In mid-2016, the MicroProfile initiative was created as a collaboration of vendors to deliver microservices for enterprise Java. InfoQ recently asked the opinion of expert practitioners on how MicroProfile has influenced how developers today are building microservices-based applications, the emergence of new microservices frameworks and reverting back to monolith-based applications development.
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Progressive Delivery: Explore the Next Iteration of Continuous Delivery
Effective Feature Management (By O'Reilly)
Learn how Atlassian, Honeycomb, IBM use Feature Management to Improve Software Delivery Performance
Forrester Thought Leadership Paper: Building Value Streams with Feature Management Platforms
