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Topics

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

Managing Asynchronous APIs at Scale

Ian Cooper discusses managing asynchronous APIs in event-driven architectures at scale. He explains the "ABCs" of messaging (Address, Binding, Contract) and shares how to tackle discovery, governance, and provisioning using AsyncAPI, CloudEvents, schema registries, and automated CI/CD infrastructure pipelines based on real-world engineering practices at Just Eat Takeaway.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Building GenAI Platform at DoorDash

Swaroop Chitlur and Sidd Kodwani share DoorDash’s journey building an internal GenAI platform. They discuss core architectural bets, transitioning from vendor-first setups to open-weights models, navigating LLM and agent gateways, and balancing accuracy, latency, and cost for over 5,000 internal users.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Keeping the Mainline Green Across Diverse Language Monorepos

Dhruva Juloori discusses how Uber maintains green mainlines across massive monorepos handling 65,000+ monthly changes. He explains how SubmitQueue uses binary speculation trees, conflict analysis, and machine learning models to predict build success and execution times. Dhruva shares how bypassing large diffs slashed CI resource usage by 53% while accelerating PR landing times by 37%.

All in culture-methods

DevOps

Featured in DevOps

Beyond Observability: Evolving Production Operations in the Age of AI

The panelists discuss how production operations are evolving with AI, turning operational data into actionable insights for incident response. They explain how automation and new architectural practices help engineering teams build more understandable systems, while exploring how AI reshapes software delivery and changes the historically deterministic nature of production applications.

All in devops

Events

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AI Security & Privacy Engineering Certification

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Compare team design, delivery flow, AI roles, and metrics with experienced practitioners.
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QCon San Francisco

What's working across AI, architecture, and leadership, from the teams doing it.
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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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Learn from the decisions and trade-offs behind AI systems already running in production.
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Presentations

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Microservices or SOLID Services?

Ondrej Krajicek discusses how basic techniques - SOLID principles, Design by Contract - and certain metrics can be used in architecting microservices, and the benefits resulting from using them.

Ondrej Krajicek
on Jul 17, 2015

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38:24
Continuous Delivery: Tools, Collaboration, and Conway's Law

Matthew Skelton shares his recent experience of helping many different organisations to evaluate and select tools to facilitate DevOps and Continuous Delivery.

Matthew Skelton
on May 05, 2015

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44:56
Measuring Microservices

Richard Rodger discusses measuring the benefits of using microservices from a business perspective in order to evaluate their impact on an organization.

Richard Rodger
on Apr 29, 2015

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41:43
Metrics-Driven Prioritization

Sam McAfee outlines an approach they are using at Neo to help their clients integrate business metrics and probabilistic modeling into their prioritization process.

Sam McAfee
on Jan 27, 2015

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44:18
The Impact of Lean and Agile Quantified: 2014

Larry Maccherone presents the latest findings on the attempt to quantify the benefits of introducing an Agile culture and practices into an organization.

Larry Maccherone
on Jan 26, 2015

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54:41
Make It Great: Refactoring That’s Smart and Satisfying

Ann Robson discusses how to develop standards, approach refactoring in a safe and practical way, and track the evolution of a code with tools and metrics.

Ann Robson
on Jul 17, 2014

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41:50
Agile Metrics and the Deadly Sins of Agile Measurement

Steve Lawrence showcases several agile metrics supporting an organization’s objectives, but also addresses some of the bad metrics and the 7 sins of Agile measurements.

Steve Lawrence
on Nov 11, 2013

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32:11
Actionable Metrics - Enabling Decision-Making in Netﬂix’s Decentralized Environment

Roy Rapoport discusses how Netflix uses metrics to monitor and manage their operating environment along with some notes about their event management system.

Roy Rapoport
on Feb 14, 2013

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43:58

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