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Featured in Development

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework

Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on multi-year worth of data. He shares insights into why Apache Spark was the choice for creating such a system and how it fits in the "traditional" engineering practices.

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework

All in development

Architecture & Design

Featured in Architecture & Design

From Confusion to Clarity: Advanced Observability Strategies for Media Workflows at Netflix

Naveen Mareddy and Sujana Sooreddy discuss the evolution of Netflix’s media processing observability, moving from monolithic tracing to a high-cardinality analytics platform. They explain how to handle "trace explosion" using stream processing and a "request-first" tree visualization, and share how to transform raw spans into actionable business intelligence.

From Confusion to Clarity: Advanced Observability Strategies for Media Workflows at Netflix

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Lessons Learned from Building LinkedIn’s First Agent: Hiring Assistant

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated distributed agent platform. They explain the transition to a supervisor-sub-agent model that enables parallel development and modular quality evaluation and share a blueprint for building resilient, high-scale agentic systems.

Lessons Learned from Building LinkedIn’s First Agent: Hiring Assistant

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Changing Power Dynamics: What Senior Engineers Can Learn from Junior Engineers

Beth Anderson discusses the "power distance index" and its critical role in communication. Using the Korean Air Flight 801 tragedy as a case study, she explains the dangers of hierarchy-driven silence. She shares actionable frameworks for building the four stages of psychological safety, implementing reverse mentoring, and using PRs as tools for knowledge sharing rather than gatekeeping.

Changing Power Dynamics: What Senior Engineers Can Learn from Junior Engineers

All in culture-methods

Featured in DevOps

Fix SLO Breaches before They Repeat: an SRE AI Agent for Application Workloads

Bruno Borges discusses a paradigm shift in performance management: moving from manual tuning to automated SRE agents. He explains how to leverage the USE and jPDM methodologies alongside LLMs to reduce MTTR from hours to seconds. By utilizing MCP tools for real-time diagnostics and memory dump analysis, he shares how engineering leaders can scale systems while meeting strict objectives.

Fix SLO Breaches before They Repeat: an SRE AI Agent for Application Workloads

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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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