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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

The Ideal Micro-frontends Platform

Luca Mezzalira explains micro-frontends as a strategy to scale frontend architecture and organization. Learn the four key architectural decisions (Identify, Compose, Route, Communicate) and the necessity of a Platform Team and Developer Experience.

The Ideal Micro-frontends Platform

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Why Observability Matters (More!) with AI Applications

Sally O'Malley explains the unique observability challenges of LLMs and provides a reproducible, open-source stack for monitoring AI workloads. She demonstrates deploying Prometheus, Grafana, OpenTelemetry, and Tempo with vLLM and Llama Stack on Kubernetes. Learn to monitor critical cost, performance, and quality signals for business-critical AI applications.

Why Observability Matters (More!) with AI Applications

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

From Technical Excellence to Leadership: Understanding Yourself First

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Frankie Berkoben about executive coaching for engineering leaders, applying iterative development to personal growth, and supporting neurodivergent team members.

From Technical Excellence to Leadership: Understanding Yourself First

All in culture-methods

Featured in DevOps

From Grassroots to Enterprise: Vanguard's Journey in SRE Transformation

Christina Yakomin shares Vanguard's SRE transformation: from quarterly testing of monoliths to a mature DevOps model with continuous delivery. She explains the SRE coaching hub, self-service tools, and advanced techniques like request-rate autoscaling. She details modern challenges, including region failure game days and testing AI-backed contact centers.

From Grassroots to Enterprise: Vanguard's Journey in SRE Transformation

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 Spreadsheets for Developers

AI, ML & Data Engineering

Spreadsheets for Developers

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01:21:47

Summary

Felienne Hermans presents various algorithms that outlining the power of Excel, showing that spreadsheets are fit for TDD and rapid prototyping.

Bio

Felienne Hermans is a professor in software engineering, researching spreadsheets. Felienne is co-founder of Intron, a university spin off helping companies professionalize their spreadsheet and she is a highly entertaining and experienced speaker, having spoken at StrangeLoop, keynoted StrataConf and given a TEDx talk.

About the conference

ACCU is an organisation for anyone interested in developing and improving programming skills. ACCU welcomes everyone who is interested in any programming language. ACCU supports its members by hosting mailing lists, running a yearly conference, publishing journals and organising online study groups.

Recorded at:

Sep 11, 2015

by

Felienne Hermans

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

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