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Development

Featured in Development

Practical Robustness: Going beyond Memory Safety in Rust

Andy Brinkmeyer shares how engineering leaders and architects can use Rust to build failure-proof systems. Moving beyond memory safety, he explains how ownership, enums, and the typestate pattern embed complex runtime protocols into compile-time checks. Learn to eliminate entire classes of bugs, manage real-world resources safely, and maximize codebase robustness effortlessly.

All in development

Architecture & Design

Featured in Architecture & Design

Governance in the Age of AI: A Conversation with Sarah Wells

In this podcast, Michael Stiefel spoke to Sarah Wells about the relationship of governance to software architecture. Governance enables teams to work effectively by establishing procedures that minimize system complexity, improve security, and reduce repetitive tasks. Targeted checklists help engineers by reducing the stress over these procedures.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Accelerating Netflix Data: a Cross-Team Journey from Offline to Online

Raj Ummadisetty and Ken Kurzweil share Netflix's architectural pivot to CloudStream, a repeatable capture, conversion, and deployment framework. They discuss shifting key-value abstractions from stateless to stateful to move terabytes of bulk data safely. Software architects will learn to exploit data access patterns, use "Pathfinder" prototypes, and maintain a 99% faster rollout.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Road to Compliance: Will Your Internal Users Hate Your Platform Team?

Davide de Paolis discusses the realities of rolling out cloud infrastructure compliance without fracturing developer relations. Drawing from a real-world platform team reboot at Sevdesk, he explains how to implement "minimum viable governance" on AWS, utilize event-driven Slack alerting to automate policy feedback, and shift from rigid enforcement to high-empathy, data-driven collaboration.

All in culture-methods

DevOps

Featured in DevOps

Chaos Engineering GPU Clusters

Bryan Oliver discusses the frontier of AI infrastructure: chaos engineering for large-scale GPU clusters. He shares how engineering leaders can handle complex topologies, network protocols like RDMA, and NUMA misalignments. Discover seven practical fault-injection strategies to maximize multi-million dollar hardware efficiency and build robust observability loops.

All in devops

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AI Security & Privacy Engineering Certification

Secure and govern production AI systems, from sensitive data to guardrails, evals, and audits.
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AI Engineering Certification

Production AI calls on retrieval, agents, evals, and infrastructure, checked with peers.
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Distributed systems, decentralized decisions, platform engineering, and AI architecture.
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QCon San Francisco

What's working across AI, architecture, and leadership, from the teams doing it.
Register. Early bird ends July 14.

QCon London

What early-adopter teams have proven in production, across 15 engineering tracks.
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Martin Fowler on Enterprise Rails

Martin Fowler likens DHH to Kent Beck and draws conclusions about the future of Ruby and Rails in enterprisey settings.

Obie Fernandez
on Jul 11, 2006

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Topics

Practical Robustness: Going beyond Memory Safety in Rust

Governance in the Age of AI: A Conversation with Sarah Wells

Accelerating Netflix Data: a Cross-Team Journey from Offline to Online

Road to Compliance: Will Your Internal Users Hate Your Platform Team?

Chaos Engineering GPU Clusters

Helpful links

Choose your language

News

Martin Fowler on Enterprise Rails

How to Build More Resilient Local-First Applications With AT Protocol Infrastructure

Cloudflare Identifies Race Condition in hyper’s HTTP/1 Implementation

OpenAI Fixes 18-Year-Old GNU libunwind Bug by Treating Crash Debugging Like Epidemiology

How DoorDash Built an AI Shopping Assistant That Doesn’t Rely on the LLM Alone

Governance in the Age of AI: A Conversation with Sarah Wells

Slack Introduces Agent Driven End-to-End Testing to Improve Resilience in UI Test Automation

Road to Compliance: Will Your Internal Users Hate Your Platform Team?

Formal Methods for Every Engineer in an AI-Powered Future

How Open Source Enables Collaboration in Creating a Platform

The Path to Sovereign Data: Challenges and Priorities in Local-First Computing

Accelerating Netflix Data: a Cross-Team Journey from Offline to Online

The Multi-Agent Approach: Building Reliable and Controllable Software Development Automation

Chaos Engineering GPU Clusters

Linux Foundation Launches Akrites to Protect Critical Open Source Software from AI-Powered Threats

GitHub Copilot CLI Gets Tabs and No-Config-File Tool Setup in Redesigned Terminal UI

Online InfoQ AI Engineering Certification

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Online InfoQ AI Security & Privacy Engineering Program

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