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Development

Featured in Development

Accelerating Performance by Incrementally Integrating Rust into Existing Codebase

Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.

All in development

Architecture & Design

Featured in Architecture & Design

Article Series: Agentic AI Architecture

In this article series, 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

Beyond the Prototype: Scaling Framework Agnostic AI Agent Infrastructure with Ray

The speakers discuss transitioning AI agents from local FastAPI prototypes to resilient production systems on Kubernetes using Ray. They share operational insights on RayCluster topology, stateful memory handling, auto-scaling on dynamic traffic, and robust control plane designs, while highlighting critical guardrails, multi-region setups, and LLM-as-a-judge evaluation pipelines.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

AI is an Amplifier: Scale High Performance, Not Dysfunction

Nathen Harvey shares insights from DORA research on AI adoption in software delivery. He explains why AI acts as an amplifier, how the DORA AI Capabilities Model drives outcomes, and why engineering leaders must evolve beyond bottlenecks like code reviews to achieve sustainable productivity, reduce delivery instability, and empower developers without burning out their teams.

All in culture-methods

DevOps

Featured in DevOps

Exploding GPUs and the AI Infrastructure Challenge

Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, covering non-deterministic agent behavior, GPU supply chain vulnerabilities, shared compute risks, and practical defense strategies - from prompt firewalling to agentic identity - to help secure cloud-native AI workloads in production environments.

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

Work through your production AI decisions with senior engineers from other companies. Apply their perspectives to challenges from your own work.
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AI Engineering Certification

Building RAG pipelines or AI agents? Work through retrieval, context, evals, and reliability decisions with experienced practitioners.
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High-Performing Teams Certification

Compare team design, delivery flow, AI roles, and metrics with experienced practitioners.
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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 Nov 10.

QCon AI New York

Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
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QCon London

What early-adopter teams have proven in production, across 15 engineering tracks.
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QCon AI Boston

Learn from the decisions and trade-offs behind AI systems already running in production.
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About this Podcast

Intended for architects and senior developers.

Architecture & Design

Colin Eberhardt on What WebAssembly Is, and Plans for Version 2.0

In this podcast Wes talks to Colin Eberhardt, the technology director at Scott Logic, about what WebAssembly (WASM) is, a bit of the history of JavaScript, and plans for WebAssembly 2.0 including the threading model and GC.

Colin Eberhardt
on May 11, 2018

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Topics

Accelerating Performance by Incrementally Integrating Rust into Existing Codebase

Article Series: Agentic AI Architecture

Beyond the Prototype: Scaling Framework Agnostic AI Agent Infrastructure with Ray

AI is an Amplifier: Scale High Performance, Not Dysfunction

Exploding GPUs and the AI Infrastructure Challenge

Helpful links

Choose your language

Podcasts

About this Podcast

Colin Eberhardt on What WebAssembly Is, and Plans for Version 2.0

Google Adopts Pyrefly for Faster, More Accurate Python Type Checking

Reverse Engineer Anything Project Brings AI Agents to Binary Analysis

ZCS Command Injection via SNMP Handlers Enables Unauthenticated Remote Code Execution

Netflix Bridges AWS IAM and Internal Identity with Workload Attestation

Article Series: Agentic AI Architecture

Pinterest Uses Event Time Watermarks to Finalize Petabyte Scale Data Partitions

AI is an Amplifier: Scale High Performance, Not Dysfunction

Optimizing Software Workflow: Exploring Fundamental Impacts in Technology

The Minimum Viable Manager: Building Trust, Feedback, and Alignment

Google SynthID Detector Simplifies Watermark Detection and Expands Support to Other AI Providers

Beyond the Prototype: Scaling Framework Agnostic AI Agent Infrastructure with Ray

The Future of Web Apps: Will AI Agents Generate UIs on the Fly?

Cilium 1.20 Expands Gateway API and Opens eBPF Datapath for Kubernetes

GitHub Actions Runner Controller 0.15.0 Targets Reliability at Scale

Buildkite Adds Scoped Secrets and New Agentic CI Tools

Online InfoQ AI Security & Privacy Engineering Program

Online InfoQ AI Engineering Certification

Online InfoQ AI Engineering Certification

Online InfoQ High-Performing Teams Certification

QCon San Francisco

QCon AI New York

Online InfoQ AI Engineering Certification

Online InfoQ Architect Certification

QCon London 2027

QCon AI Boston

InfoQ Software Architects' Newsletter

Podcasts

About this Podcast