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Topics

Featured in Development

Go Channels: Understanding Happens-Before for Safe Concurrency

This article dives into the happens-before semantics of Go channels, explaining how they relate to memory visibility, synchronization, and concurrency correctness. We'll examine subtle pitfalls, illustrate them with examples, and explore the architectural implications for system designers.

Go Channels: Understanding Happens-Before for Safe Concurrency

All in development

Architecture & Design

Featured in Architecture & Design

Building Resilient Platforms: Insights from Over Twenty Years in Mission-Critical Infrastructure

Building resilient platforms requires understanding the art and science of creating infrastructure that others depend on for critical applications. This perspective applies to anyone who builds software consumed by others at scale. Whether developing infrastructure platforms, software development platforms, or messaging systems, principles address how to build software that others consume at scale

Building Resilient Platforms: Insights from Over Twenty Years in Mission-Critical Infrastructure

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Achieving Precision in AI: Retrieving the Right Data Using AI Agents

Adi Polak explains the path from GenAI prototype to production by focusing on precision - the competitive edge. She details Agentic RAG architectures, emergent agent design patterns, and crucial feedback loops (LLM-as-a-judge) for refinement. Learn how to leverage data streaming (Kafka) to manage collaboration, memory, and scale microservices in real-time agent systems.

Achieving Precision in AI: Retrieving the Right Data Using AI Agents

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Shine Bright as an IC: Growing Yourself as Your Company Grows

Suhail Patel discusses how senior engineers and tech leaders must go beyond technical mastery to achieve staff-plus growth. He explains how to leverage one-to-ones, intentional interviewing (as learning opportunities), and visible writing to build influence and your network. Get practical advice on making ambitious bets and fixing organizational cracks to grow your team and company.

Shine Bright as an IC: Growing Yourself as Your Company Grows

All in culture-methods

Featured in DevOps

You Are Asking the Wrong Questions (about Reliability and SRE)

David Blank-Edelman (Microsoft SRE Academy) explains seven essential questions to elevate your reliability practice. He challenges engineering leaders to redefine reliability metrics beyond availability, replace "root cause" with contributing factors, critique the five whys, re-evaluate the true goals of toil automation, and understand SRE's role (firefighting vs. partnership).

You Are Asking the Wrong Questions (about Reliability and SRE)

Events

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QCon San Francisco 2025

Get production-proven patterns from the leaders who scaled a GenAI search platform to millions, migrated a core ML system without downtime, and architected a global streaming service from the ground up.

Early Bird ends Nov 11.

QCon AI New York 2025

Move beyond AI demos to real engineering impact. Discover how teams embed LLMs, govern models, and scale inference pipelines to accelerate development securely.

Early Bird ends Nov 11.

QCon London 2026

Benchmark your systems against leading engineering teams. See what really works in FinOps, modern Java, and distributed data architectures to balance cost, scale, and reliability.

Early Bird ends Nov 11.

InfoQ Homepage Presentations Engineering Systems for Real-Time Predictions @DoorDash

AI, ML & Data Engineering

Engineering Systems for Real-Time Predictions @DoorDash

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33:20

Summary

Raghav Ramesh presents DoorDash’s thoughts on how to structure machine learning systems in production to enable robust and wide-scale deployment of machine learning, and shares best practices in designing engineering tooling around machine learning.

Bio

Raghav Ramesh is a machine learning engineer at DoorDash working on its core logistics engine, where he focuses on AI problems: vehicle routing, Dasher assignments, delivery time predictions, demand forecasting, and pricing. Previously, he worked on various data products at Twitter, including recommendation systems, trends ranking, and growth analytics.

About the conference

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

Recorded at:

Aug 22, 2018

by

Raghav Ramesh

This content is in the AI, ML & Data Engineering topic

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