InfoQ
InfoQ - Human progress through technology
Software is changing the world, and our mission is to help progressive software development teams adopt new technologies and practices. For over 18 years, InfoQ has guided senior software development teams with peer-validated, trustworthy insights in adopting new technologies and practices.
InfoQ shares the experiences of senior software developers gained using innovator and early adopter stage techniques and technologies with the wider industry. We carefully curate and peer-review everything we publish. We strongly believe that the high-quality insights offered by our editors and other contributors have the power to uplift entire communities, no matter what their native language.
Our conferences include QCon international software development conferences in London, New York, and San Francisco, as well as the InfoQ Dev Summit in Boston and Munich.
Building Composable Teams: Moving Beyond Rigid Organizational Structures
Graph DB to LLM: Chat with Structured Data (NO Cypher/SQL)
Mental Models in Architecture & Societal Views of Technology: A Conversation with Nimisha Asthagiri
GenAI at Scale: Red Hat CTO's $1M to $500/Mo Cost Secret
Using Brain Science to Communicate and Lead Technical Teams Effectively
Elena Samuylova on Large Language Model (LLM) Based Application Evaluation and LLM as a Judge
Building Engineering Culture Through Autonomy and Ownership
Platform Engineering Mistakes: The CTO & Architect's Truths on Adoption
How to Translate Technical Expertise into Strategic Influence
Testcontainers, WireMock, Awaitility: The Hard Truths of Microservices Testing
The Hidden Vulnerability of The Open Source Software Supply Chain: The Underlying Infrastructure
How Blameless Culture Transforms Engineering Teams
Revolut's DevOps Platform Secrets: Scaling to 12,000 Engineers
AI, ML, and Data Engineering InfoQ Trends Report 2025
The Truth About Observability Metrics: Why Yours Are Lying To You
The Myth of 100% Utilization: The Neuroscience of Productive Teams
Java Devs: Stop Using Python for AI! (a Spring AI Solution)
The Microservice Myth: What Monzo Learned About Scaling a Bank
Scaling Systems, Companies, and Careers with Suhail Patel
The 3 Golden Rules of Distributed Systems
Why Software Development Sucks And 7 Mental Models To Help Fix It
Why 99% of AI Products Fail: A CTO's Hard-Won Lessons
The Architect's Dilemma: Tech-First vs. Human-Centered Design
Safely Changing Software to Avoid Incidents: A Conversation with Justin Sheehy
The Evolution of Code Review: From Bug-Finding to Team Building
Rust + Serverless: The High-Performance Myth EXPOSED
AR’s Hardest Problem? The Engineering Lesson from Google Maps
Observability in Java with Micrometer - a Conversation with Marcin Grzejszczak
Building a Resilient and Inclusive Engineering Culture with Matthew Card
The Hard Truth About Multi-Cloud: How We Built ONE Network at Google