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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

Building a Session-Ordered Kafka Pipeline in Go

The article describes a custom implementation that provides a session-level ordering on top of Apache Kafka partitions, supporting strict message ordering across 1000s of independent channels. The solution required application-level routing, consistent hashing, retries, and contiguous watermark commits. Engineers conducted operational hardening supported by extensive performance testing.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale

Prasanna Vijayanathan and Renzo Sanchez-Silva share how Netflix tackles observability across 38M events/sec. They discuss replacing reactive monitoring with an AI-driven operational ontology and agentic workflows using Claude and graph databases. They explain how unifying MELT telemetry into queryable knowledge graphs enables automated triaging, root-cause analysis, and self-healing systems.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

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

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Matt Gjertsen, founder of Built and author of Minimum Viable Manager, about the three foundational skills every first-time manager needs, how to build trust and give effective feedback, and why human leadership skills matter even more in the age of AI.

All in culture-methods

DevOps

Featured in DevOps

Building Resilient Platforms: Insights from 20+ Years in Mission-Critical Infrastructure

Matthew Liste explains the 12 core principles of building scalable, reliable platforms for enterprise tech teams. From avoiding technical debt and managing deprecation to building a strong engineering culture, Liste discusses how to design infrastructure platforms that reduce complexity, streamline developer workflows, and deliver long-term value for senior architects and engineering leaders.

All in devops

Events

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Architect Certification

Distributed systems, decentralized decisions, platform engineering, and AI architecture.
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AI-Assisted Engineering Certification

Your coding agent moves fast. Who checks whether it's making the codebase better?
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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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High-Performing Teams Certification

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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QCon AI Boston

Learn from the decisions and trade-offs behind AI systems already running in production.
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InfoQ Homepage Interviews Nada Amin on Scala DSLs with Lightweight Modular Staging and Compiling to JavaScript

Nada Amin on Scala DSLs with Lightweight Modular Staging and Compiling to JavaScript

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11:09

Bio

Nada Amin is a PhD student at EPFL, in the programming methods laboratory (LAMP) led by Martin Odersky. Previously, she was a software engineer at Google, in the Gmail and Closure compiler teams. She holds bachelor and master degrees in Computer Science from the Massachusetts Institute of Technology.

About the conference

Scala Days is the premier event for Scala enthusiasts, researchers, and practitioners. Scala is a general-purpose programming language designed to express common programming patterns in a concise, elegant, and type-safe way. It smoothly integrates features of object-oriented and functional programming.

Jun 18, 2012

Interview with

Nada Amin

by

Werner Schuster

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