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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

Agentic AI Architecture

In this eMag, we try to establish agentic AI architecture as a new type of software architecture that will likely dominate the industry for years to come. The articles, written by industry experts, cover various elements and aspects of agentic AI architecture. We aim to present the latest trends and developments shaping the new type of architecture as it enters the mainstream.

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

Formal Methods for Every Engineer in an AI-Powered Future

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Gabriela Moreira about making formal methods accessible through the Quint specification language, how AI is dramatically lowering the barrier to entry for formal specification and model-based testing, and why defining correct system behaviour remains essential human work in an AI-driven world.

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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Architect Certification

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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InfoQ Homepage Kinect Content on InfoQ

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Pre-release Kinect for Windows

William Fink demos a pre-release Kinect for Windows, showing its new features and capabilities.

William Fink
on Dec 06, 2014

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01:00:29

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Topics

Practical Robustness: Going beyond Memory Safety in Rust

Agentic AI Architecture

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

Formal Methods for Every Engineer in an AI-Powered Future

Chaos Engineering GPU Clusters

Helpful links

Choose your language

Presentations

Pre-release Kinect for Windows

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

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

The Kubernetes Approach to AI-Assisted Maintainership Prioritises Human Accountability

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

AWS Details How One Customer Scaled to One Million Lambda Functions

Airbnb Shares Architecture behind Sitar-Agent Dynamic Configuration Sidecar for Kubernetes Services

Formal Methods for Every Engineer in an AI-Powered Future

How Open Source Enables Collaboration in Creating a Platform

Shifting Platform Development from Projects to Products

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

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

Switching from PostgreSQL to ClickHouse for Improved Performance and Scalability

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

Online InfoQ Architect Certification

Online InfoQ AI Security & Privacy Engineering Program

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