InfoQ Homepage Frameworks Content on InfoQ
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How to Build More Secure Service Brokers
Denise Yu highlights common threat assessment frameworks, drawing attention to potential vulnerabilities in service broker architecture, and offering system design guidelines and resources.
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Managing Privacy & Data Governance for Next Generation Architecture
Ayana Miller explores a governance framework for road mapping, resourcing, and driving decision-making for next generation of architecture with privacy by design.
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Managing Organizational Complexity with the Scaled Agile Framework
Mike van de Vijsel discusses how RAPID RTC has used the Scaled Agile Framework to handle feature prioritization, manage large programs and epics, and organize teams.
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Focusing on Culture to Fast-track Agility
Anna El Ali, Jody Weir share the 3C framework used for successfully creating culture movements to help Agile ways of working flourish.
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Eighteen Years of Spring
Rod Johnson discusses some of the key things that make successful frameworks, including: the Open/Closed principle, the role of Design Patterns, clear layering, consistent coding conventions, etc.
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Massive Scale Anomaly Detection Framework
Guy Gerson introduces an anomaly detection framework PayPal uses, focusing on flexibility to support different types of statistical and ML models, and inspired by scikit-learn and Spark MLlib.
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Robust Applications with Polly, the .NET Resilience Framework
Bryan Hogan introduces Polly, a .NET resilience framework, discussing some of its most important features.
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A Room with a Vue.js
Ryan Rousseau introduces Vue.js, building a simple web application to showcase its features and benefits.
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Steeltoe and the Open Source .NET Renaissance
Beth Massi, Zach Brown and Dave Tillman discuss the .NET platform renaissance, the Steeltoe framework, then demonstrate how to build resilient microservices with ASP.NET Core.
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Comparing Deep Learning Frameworks
Jeffrey Shomaker covers the different types of deep learning frameworks and then focuses on neural networks, including business uses and 4 of the main systems (eg. Tensor Flow) that are open sourced.
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Disciplined Agile Business Agility - One Size Does Not Fit All
Scott Ambler introduces the DA framework, describing strategies at the enterprise level currently being applied in organizations around the world.
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Products and Prototypes with Keras
Micha Gorelick shows how to build a working product with Keras, a high-level deep learning framework, discussing design decisions, and demonstrating how to train and deploy a model.