InfoQ Homepage Programming Content on InfoQ
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DevOps is Not Enough for Scaling and Evolving Tech-Driven Organizations: a Q&A with Eduardo da Silva
Eduardo Silva from bol.com on the need for sociotechnical systems thinking. DevOps is a good starting point but a wider view of the organization as a sociotechnical system is key for sustained growth.
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The Flow System: Getting Fast Customer Feedback and Managing Flow
The Flow System elevates Lean Thinking in an age of complexity by combining complexity thinking, distributed leadership, and team science into the Triple Helix of Flow, which organizations can use to become more innovative, adaptive, and resilient. This first article explores the importance of quality, getting fast feedback from customers, the concept of flow, and The Flow System.
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Platform Engineering as a (Community) Service
Nicki Watt shares how successful platform engineering initiatives start by adjusting their thinking to centre around people and communities, and their experience consuming the platform, with examples.
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Strategies to Modernize, Maintain, and Future-Proof Systems
The book Kill it with Fire by Marianne Bellotti provides strategies that organizations can use to modernize, maintain, and future-proof their systems. She suggests choosing strategies based on the organizational context, and defining what value you’re hoping to see from modernization.
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Applying Stoicism in Testing
Agility stands for being aware of your environment. There is a specific set of values for a tester that you should stick to; they set limits to what you can deliver as a tester, and within those limits, you can keep your agility. But your values can cause a “collision” with agile people around you, because they don’t have to be perfectly in line with how people apply the agile principles.
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eBay's UI Framework Marko Adds Optimized Reactivity Model - Q&A with Marko's Development Team
Marko, eBay's performance-focused UI framework, features optimization strategies that are now becoming mainstream (e.g., server-side rendering, progressive and asynchronous rendering, partial hydration). InfoQ discussed with the Marko development team how those performance strategies may differentiate Marko from other frameworks and future performance-minded initiatives in their roadmap.
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Kubernetes Is Not Your Platform, It's Just the Foundation
Manuel Pais discusses how many organizations see Kubernetes as "the" platform, rather than just a technical foundation for a true internal platform. Successful Kubernetes adoption requires thinking about the platform as a product and establishing product-like team structures and interactions to reduce cognitive load on development and other stream teams. Metrics can help guide the journey.
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GraphQL Reference Guide: Building Flexible and Understandable APIs
This online guide aims to answer pertinent questions for software architects and tech leaders, such as: Why would you use GraphQL? Why should you pay attention to GraphQL now? How can GraphQL help with data modelling in the Enterprise?
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Testing Quarkus Web Applications: Reactive Messaging, Kafka, and Testcontainers
Quarkus is a full-stack, Kubernetes-native Java framework that supports many coding styles, including reactive programming. Writing clean unit/component/integration tests for Quarkus applications when a reactive approach is used is vitally important. Here we demonstrate testing reactive code, reactive messaging, and full integration testing.
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Pathpida Brings Types to Next.js and Nuxt.js Dynamic Routing with Zero Configuration
Pathpida is a library for TypeScript projects to collect dynamic routes in one place. It is a tedious task to do manually. This helps check the existence of routes in large web apps. Pathpida is optimized for Next.js (React) and Nuxt.js (Vue). Pathpida can be added to existing Next.js and Nuxt.js projects without configuration.
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How Optimizing MLOps Can Revolutionize Enterprise AI
In this article, author Monte Zweben discusses data science architecture, containerization, and how new solutions like Feature Store can help with the full lifecycle of machine learning processes.
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Sociotechnical Implications of Using Machines as Teammates
AI has become more than just a tool; it is now meriting consideration as an additional teammate. While this increases a project’s efficiency and technical rigor, AI teammates bring a fresh set of challenges around social integration, team dynamics, trust, and control. This article provides an overview of sociotechnical frameworks and strategies to address concerns with using machines as teammates.