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Topics

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

Events

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AI Security & Privacy Engineering Certification

Secure and govern production AI systems, from sensitive data to guardrails, evals, and audits.
Online. Register now.

AI Engineering Certification

Production AI calls on retrieval, agents, evals, and infrastructure, checked with peers.
Online. Register Now.

Architect Certification

Distributed systems, decentralized decisions, platform engineering, and AI architecture.
Online. Register Now.

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.
Register. Early bird ends July 14.

InfoQ Homepage Interviews The Larger Purpose of Big Data with Pavlo Baron

The Larger Purpose of Big Data with Pavlo Baron

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18:43

Bio

Pavlo Baron is lead architect with codecentric AG. His passion are distributed systems and large data sets – the infrastructure behind what they call Big Data. Pavlo is frequent conference speaker and has written three German books: “Erlang/OTP”, “Pragmatic IT Architecture” and “Fragile Agile”.

About the conference

Software is changing the world; QCon aims to empower software development by facilitating the spread of knowledge and innovation in the enterprise software development community; to achieve this, QCon is organized as a practitioner-driven conference designed for people influencing innovation in their teams: team leads, architects, project managers, engineering directors.

Jan 30, 2013

Interview with

Pavlo Baron

by

Harry Brumleve

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