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Topics

Featured in Development

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework
Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on multi-year worth of data. He shares insights into why Apache Spark was the choice for creating such a system and how it fits in the "traditional" engineering practices.

All in development

Architecture & Design

Featured in Architecture & Design

Micro-Frontends: A Sociotechnical Journey Toward a Modern Frontend Architecture
Micro-frontends differ from components by emphasising autonomy and flow over standardisation and reuse—a sociotechnical shift aligned with Conway's law. Migration should be gradual, starting where autonomy is most beneficial and ensuring that the architecture aligns with the team structure. Duplication can benefit the flow and enable iterative delivery, rather than requiring extensive rewrites.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Reliable Data Flows and Scalable Platforms: Tackling Key Data Challenges
Matthias Niehoff discusses how to bridge the gap between application development and data engineering. Learn to apply software engineering best practices to data pipelines, embrace boring technologies, and simplify architecture to maximize business value and data reliability.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Authenticity Over Convention: Lessons from 16 Years of Solo Game Development
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Joe Cassavaugh about building a sustainable solopreneur game development business, the importance of authenticity over conventional wisdom, and learning from both successes and failures in the digital content marketplace.

All in culture-methods

Featured in DevOps

Trust No One: Securing the Modern Software Supply Chain with Zero Trust
Emma Yuan Fang explains the Zero Trust mindset required to combat modern software supply chain attacks. She details security controls for dependency management, including SBOM (Software Bill of Materials), artifact signing, Git commit signing, and CI/CD hardening. Learn how to implement security gating, enforce policies as code, and manage secrets across your build and runtime environments.

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InfoQ HomepageMachine Learning Content on InfoQ

Machine Learning

News about Machine Learning

Presentations about Machine Learning

Culture & Methods
Humans in the Loop: Engineering Leadership in a Chaotic Industry
Michelle Brush
on Nov 24, 2025
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48:25
AI, ML & Data Engineering
Growing and Cultivating Strong Machine Learning Engineers
Vivek Gupta
on Nov 10, 2025
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38:15
AI, ML & Data Engineering
Achieving Precision in AI: Retrieving the Right Data Using AI Agents
Adi Polak
on Nov 07, 2025
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50:00
AI, ML & Data Engineering
AI for Food Image Generation in Production: How & Why
Iaroslav Amerkhanov
on Aug 27, 2025
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44:46
AI, ML & Data Engineering
10 Reasons Your Multi-Agent Workflows Fail and What You Can Do about It
Victor Dibia
on Aug 14, 2025
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48:24
AI, ML & Data Engineering
Maximizing Deep Learning Performance on CPUs using Modern Architectures
Bibek Bhattarai
on Jul 31, 2025
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39:25
AI, ML & Data Engineering
A Framework for Building Micro Metrics for LLM System Evaluation
Denys Linkov
on Jul 01, 2025
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29:10

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