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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

Empathy Driven Platforms: You Build It, Let’s Run It Together

Erin Doyle explains the evolution from siloed IT Ops to the Platform Team model, revealing why the "You Build It, You Run It" principle created new cognitive load. She shares the Empathy-Driven Platforms strategy - the ultimate attack against engineering roadblocks. Discover ways platform teams can build empathy, foster psychological safety, and adopt a product mindset.

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.

QCon AI Boston

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

Launch pricing ends Dec 9.

InfoQ Homepage Prompt Engineering Content on InfoQ

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AI, ML & Data Engineering

Beyond the Gang of Four: Practical Design Patterns for Modern AI Systems

In this article, author Rahul Suresh discusses emerging AI patterns in the areas of prompting, responsible AI, user experience, AI-Ops, and optimization, with code examples for each design pattern.

Rahul Suresh
on May 15, 2025
AI, ML & Data Engineering

Prompt Engineering: Challenges, Strengths, and Its Place in Software Development's Future

Prompt engineering is evolving as a crucial skill that bridges AI communication and programming, blending creativity and precision to shape the future of software development. The future of software development might involve a synergistic blend of both approaches. Prompt engineering can accelerate prototyping and enhance interactivity, while traditional programming ensures robustness.

Hien Luu
on Feb 24, 2025

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Topics

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework

Scaling Cloud and Distributed Applications: Lessons and Strategies

GenAI Security: Defending Against Deepfakes and Automated Social Engineering

Empathy Driven Platforms: You Build It, Let’s Run It Together

Hybrid Cloud-Native Networking in Enterprise - Some Assembly Required

Helpful links

Choose your language

Articles

Beyond the Gang of Four: Practical Design Patterns for Modern AI Systems

Prompt Engineering: Challenges, Strengths, and Its Place in Software Development's Future

Lessons Learned in Migrating to Micro-Frontends by Luca Mezzalira at QCon SF

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework

Rust at the Core: Accelerating Polyglot SDK Development by Spencer Judge at QCon SF 2025

Grab Adds Real-Time Data Quality Monitoring to Its Platform

Karrot Improves Conversion Rates by 70% with New Scalable Feature Platform on AWS

Scaling Cloud and Distributed Applications: Lessons and Strategies

Growing Yourself as a Software Engineer, Using AI to Develop Software

Empathy Driven Platforms: You Build It, Let’s Run It Together

Authenticity Over Convention: Lessons from 16 Years of Solo Game Development

Memori Expands into a Full-Scale Memory Layer for AI Agents across SQL and MongoDB

How Discord Scaled its ML Platform from Single-GPU Workflows to a Shared Ray Cluster

GenAI Security: Defending Against Deepfakes and Automated Social Engineering

Hybrid Cloud-Native Networking in Enterprise - Some Assembly Required

NVIDIA Dynamo Addresses Multi-Node LLM Inference Challenges

System Initiative Unveils Expansion with Real-Time Multi-Cloud Discovery and Automation

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