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Development

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.

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.

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.

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.

All in culture-methods

DevOps

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.

All in devops

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InfoQ Homepage Interviews Karl Scotland introduces the Kanban Canvas

Karl Scotland introduces the Kanban Canvas

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24:57

Bio

Karl Scotland is a Lean/Agile coach with 20 years of experience, a founding member of the Lean Systems Society and the Limited WIP Society, and a pioneer and advocate of using Kanban Systems. Download the Kanban Canvas here.

About the conference

Every day, Agile practitioners and thought leaders are defining and refining new and existing practices that bring Agile’s values and principles to our world of work, play and service. Agile2014 reinforces our understanding of proven methods and illuminates some of the exciting new innovations that represent the future of Agile.

Sep 12, 2014

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Topics

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

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

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

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

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

Helpful links

Choose your language

Karl Scotland introduces the Kanban Canvas

Bio

About the conference

This content is in the Agile topic

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QCon AI New York

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InfoQ Software Architects' Newsletter

Karl Scotland introduces the Kanban Canvas

Bio

About the conference

This content is in the Agile topic

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