Ian Robins

@ianrobins.social

Helping dev teams adopt new patterns and practices through InfoQ.com and QConferences.com

"Decision-making is decentralized." Engineers are now expected to be architects, often without the training. Tech leader Luca Mezzalira explains why the "architect mindset" is more critical than ever. It’s not about memorizing patterns; it's about guiding decisions. Watch the clip 👇 #InfoQ

1/ Let's translate "Digital Sovereignty" from a buzzword into an actionable plan. Here's a 3-part framework for architects & devs, inspired by our latest podcast 🧵

Last week, I had the pleasure of recording a podcast episode with speakers from the upcoming InfoQ Dev Summit Munich 2025. We discussed the practical challenges facing European developers caught between regulatory pressures and technological realities. www.infoq.com/podcasts/sov...

Sovereign Clouds, Hyperscalers and European Alternatives: InfoQ Dev Summit Munich 2025 Preview

In this podcast episode, speakers from the upcoming InfoQ Dev Summit Munich 2025 tackle the practical challenges facing European developers caught between regulatory pressures and technological realit...

infoq.com

📣 Announcing QCon AI 2025! Join us Dec 16-17 in NYC for 27+ peer-curated sessions focused on how senior practitioners are accelerating the software development lifecycle with AI—reliably and without the hype. Secure launch pricing now: bit.ly/4lzLahK

Enterprise AI Conference for Developers & Architects | QCon AI NYC 2025

QCon AI New York (Dec 16-17): The AI conference for senior engineers & leaders scaling reliable, production-grade AI. Get real-world patterns. Register!

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Leandro Guimarães, Senior Engineering Manager @ClassPass, former Chair of QCon in Brazil, and track host for The Path to Senior Engineering Leadership at #QConLondon 2025, shares why QCon is an eye-opening learning experience. Watch the full interview: bit.ly/4i5NrOO

Enjoyed this InfoQ podcast with Olimpiu Pop & Max Rydahl Andersen 👏 Grounded insights on making #Java dev joyful again: - Why GenAI won’t replace devs but might break more systems - How Quarkus rethinks Java startup & dev loops - JBang: the “just works” CLI Java needs www.infoq.com/podcasts/sim...

Simplify Your System By Challenging The Status-Quo And Learning From Other Ecosystems

In this podcast, Max Rydahl Andersen, distinguished engineer at RedHat and the creator of JBang discusses how continuously learning from other ecosystems and adopting new tools allows you to simplify ...

infoq.com

Excellent insights from Ankit Awasthi, Eng. Leader at Amazon Prime Video to build better #MobileStreaming apps in 2025: - Zero buffering is now expected - AI caching enables seamless offline viewing - Dynamic buffering adapts in real-time - Edge computing cuts latency www.infoq.com/articles/bui...

Building Efficient Mobile Streaming Apps

This article explores efficient preloading systems for mobile video streaming apps, balancing user experience with technical constraints. We will dive into practical implementation strategies that lev...

infoq.com

From Khawaja Shams' "Dare Mighty Things" talk at #QConSF: The NASA risk framework: - Focus on what can go RIGHT, not just wrong - Convert one-way door decisions into two-way doors - Course-correct quickly > perfect planning The biggest risk is not taking one. www.infoq.com/presentation...

Dare Mighty Things: What NASA's Endeavors Teach Us About the Power of Calculated RISCs

Khawaja Shams explores the essence of calculated risks, discussing why taking these risks, how to identify and mitigate potential downsides, and the characteristics of good risks.

infoq.com

ML models don’t fail in the lab. They fail in production. To build scalable, #observable ML systems, you need: - MLflow for tracking - Streamlit for monitoring - Prometheus + Grafana for metrics - SHAP for explainability Learn how to make #ML work beyond the notebook: www.infoq.com/articles/bui...

Beyond Notebook: Building Observable Machine Learning Systems

In this article, author discusses a machine learning pipeline with observability built-in for credit card fraud detection use case, with tools like MLflow, FastAPI, Streamlit, Apache Kafka, Prometheus...

infoq.com