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Development

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

Scaling Cloud and Distributed Applications: Lessons and Strategies

The article shares goals and strategies for scaling cloud and distributed applications, focusing on lessons learned from cloud migration at Chase.com at JP Morgan Chase. The discussion centers on three primary goals and the strategies addressing the goals, concluding how these approaches were achieved in practice. For those managing large-scale systems, these lessons provide valuable guidance!

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

GenAI Security: Defending Against Deepfakes and Automated Social Engineering

In this episode, QCon AI New York 2025 Chair Wes Reisz speaks with Reken CEO and Google Trust & Safety founder Shuman Ghosemajumder about the erosion of digital trust. They explore how deepfakes and automated social engineering are scaling cybercrime and argues defenders must move beyond default trust, utilizing behavioral telemetry and game theory to counter attacks that simulate human behavior.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Transforming Life Sciences: AI, Vibe Coding, and Drug Development Acceleration

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Satish Kothapalli about the transformative impact of AI and vibe coding in life sciences software development, the acceleration of drug development timelines, and the evolving roles of developers in an AI-augmented environment.

All in culture-methods

DevOps

Featured in DevOps

Hybrid Cloud-Native Networking in Enterprise - Some Assembly Required

Louis Ryan shares a compelling vision for modern cloud native hybrid networking. He critiques primitive network abstractions (the "Big IP" problem) and rigid security policies that rot and cause SPOFs. Discover how architects can elevate network functionality, bake in identity (mTLS/PKI), and leverage composability to achieve repeatable policy enforcement everywhere their applications run.

All in devops

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QCon AI New York 2025

Go from AI demos to real engineering impact. Learn to embed LLMs, govern & scale securely.

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QCon London 2026

Learn what works in AI, architecture, data, security & FinTech.

Early Bird ends Dec 9.

Learn how leading engineering teams run AI in production—reliably, securely, and at scale.

Launch pricing ends Dec 9.

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AI, ML & Data Engineering

InfoQ AI, ML and Data Engineering Trends Report - 2025

This InfoQ Trends Report offers readers a comprehensive overview of emerging trends and technologies in the areas of AI, ML, and Data Engineering. This report summarizes the InfoQ editorial team’s and external guests' view on the current trends in AI and ML technologies and what to look out for in the next 12 months.

Srini Penchikala Savannah Kunovsky Anthony Alford Daniel Dominguez Vinod Goje
on Sep 24, 2025
AI, ML & Data Engineering

Building Trust in AI: Security and Risks in Highly Regulated Industries

Explore the transformative power of responsible AI across industries, emphasizing security, MLOps, and compliance. As AI drives innovation—from predicting hurricanes to enhancing legal workflows—organizations must prioritize ethical practices, transparency, and robust governance to safeguard sensitive data while navigating an evolving regulatory landscape.

Stefania Chaplin Azhir Mahmood
on Feb 10, 2025

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