InfoQ Homepage Frameworks Content on InfoQ
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Lessons Learned from Migrating a Legacy Test Suite to Gauge with Kotlin
Liran Yushinsky shared how his team replaced brittle bash and kubectl tests with a unified Kotlin + Gauge framework. Using Fabric8, Terraform, and Ansible, they automated their test environments. Feedback loops dropped from hours to minutes, developers joined testing efforts, and shared ownership boosted quality and release speed.
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Breaking Silos: Netflix Introduces Upper Metamodel to Bring Consistency across Content Engineering
Netflix has introduced the Upper metamodel within its Unified Data Architecture (UDA) to standardize domain definitions and generate consistent data container representations. UDA links conceptual models to GraphQL, Avro, SQL, and Java artifacts, supporting projections, mappings, and knowledge graph-based discovery across content, advertising, and operational systems.
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From On-Demand to Live : Netflix Streaming to 100 Million Devices in under 1 Minute
Netflix’s global live streaming platform powers millions of viewers with cloud-based ingest, custom live origin, Open Connect delivery, and real-time recommendations. This article explores the architecture, low-latency pipelines, adaptive bitrate streaming, and operational monitoring that ensure reliable, scalable, and synchronized live event experiences worldwide.
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Instagram Improves Engagement by Reducing Notification Fatigue with New Ranking Framework
Meta has introduced a diversity-aware ranking framework for Instagram notifications. The system applies multiplicative penalties to reduce repetitive alerts from the same creators or product surfaces, improving engagement while maintaining relevance and introducing content variety.
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Impulse, Airbnb’s New Framework for Context-Aware Load Testing
Airbnb has developed Impulse, an internal load testing framework to improve microservice reliability and performance. It enables distributed, large-scale testing and lets teams run self-service, context-aware load tests integrated with CI pipelines. By simulating production-like traffic, Impulse helps engineers identify bottlenecks and errors before changes reach production.
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Remix Reimagined: V3 Will Drop React for a Fork of Preact
Two years after shipping Remix v2, the Remix team recently announced working on Remix v3, with a new set of principles charting its path. Remix v3 will drop React for a fork of Preact as part of its effort to own most of its stack and feature only minimal, critical dependencies. Remix will also optimize for LLMs, build on Web APIs, eschew build processes, and demand composable abstractions.
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A Culture of Continuous Experimentation: Learnings from QCon New York
At QCon New York 2023, Sarah Aslanifar presented Building a Culture of Continuous Experimentation. She showed how fostering a culture of continuous experimentation and leveraging the principle of continuous learning can drive efficiency, eliminate waste, and improve product outcomes.
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Microsoft Guidance Offers Language for Controlling Large Language Models
Microsoft has recently introduced a domain-specific language called Guidance, to improve developers' ability to manage contemporary language models. The new framework integrates aspects such as generation, prompting, and logical control into a unified process for developers. The inclusion of regex pattern guides ensures the enforcement of formats, allowing for the natural completion of prompts.
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What Software Developers Can Do to Learn Effectively
Software developers are constantly learning new languages, frameworks, tools, and techniques. It can be challenging to decide which topic to learn, estimate our competence level, prevent becoming overwhelmed, and keep our learning effective. For better learning, break it down into realistically sized phases, and repeat the same topic several times to really get to experience it properly.
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Scalable Automation Frameworks for Functional and Non-Functional Testing
Separating the capabilities of a testing framework from the actual tests can enable scaling automated testing for complex enterprise products. According to Alexander Velinov, we should agree on the types of tests to execute automatically during release and what should be kept as manually triggered tests.
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Microsoft Releases .NET Community Toolkit 8 with Automatic Source Generation
Microsoft has released version 8.0.0 of .NET Community Toolkit (NCT), a collection of helpers and APIs that make it easier to use patterns like MVVM (model-view-viewmodel) independently of the underlying platform. In this version, developers can benefit from reduced boilerplate code and streamlined API methods.
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Microsoft Claims Entity Framework Core 7 Faster When Saving Changes
Entity Framework (EF) Core, Microsoft's object-to-database mapper library for .NET Framework, brings performance improvements for data updates in version 7, Microsoft claims. The performance of SaveChanges method in EF7 is up to 74% faster than in EF6, in some scenarios.
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MLGO Framework Brings Machine Learning in Compiler Optimizations
Google’s new Machine Learning Guided Optimization (MLGO) is an industrial-grade general framework for integrating machine-learning (ML) techniques systematically in a compiler and in particular in LLVM. Compiling faster and smaller code can significantly reduce the operational cost of large data-center applications.
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Microsoft's New Simulation Framework FLUTE Accelerates Federated Learning Algorithm Development
Microsoft Research has recently released Federated Learning Utilities and Tools for Experimentation (FLUTE), a new simulation framework to accelerate federated learning ML algorithm development. The main goal of federated learning is to train complex machine-learning models over massive amounts of data without the need to share that data in a centralized location.
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Waymo Releases Block-NeRF 3D View Synthesis Deep-Learning Model
Waymo released a ground-breaking deep-learning model called Block-NeRF for large-scale 3D world-view synthesis reconstructed from images collected by its self-driving cars. NeRF has the ability to encode surface and volume representation in neural networks.