InfoQ Homepage Project Management Content on InfoQ
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Evolving Trainline Architecture for Scale, Reliability and Productivity
Milena Nikolic discusses how Trainline's systems architecture has evolved over the past 5 years to cater changes, as well as what's coming next.
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Building SaaS from Scratch Using Cloud-Native Patterns: a Deep Dive Into a Cloud Startup
Joni Collinge presents the design and implementation of the Diagrid Cloud platform, covering design considerations, trade-offs and learnings, using Kubernetes, Dapr and Cloud-Native services.
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Chronon - Airbnb’s End-to-End Feature Platform
Nikhil Simha discusses Airbnb's Feature Platform, focusing on the recent efforts to solve the challenges, specifically covering: core APIs, training data generation, feature serving and observability.
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Lessons Learned from Building LinkedIn’s AI Data Platform
Felix GV provides an overview of LinkedIn’s AI ecosystem, then discusses the data platform underneath it: an open source database called Venice.
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Unpacking How Ads Ranking Works @Pinterest
Aayush Mudgal discusses social media advertising, unpacking how Pinterest harnesses the power of Deep Learning Models and big data to tailor relevant advertisements to the pinners.
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Several Components are Rendering: Client Performance at Slack-Scale
Jenna Zeigen discusses front-end performance issues encountered by Slack as they continue to grow and evolve the desktop app.
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Success Patterns in for Building Cyber-Physical Systems with Agile
Robin Yeman demonstrates that there is a mission imperative to migrate from phase gate approach to Scaled Agile to increase safety for stakeholders.
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Relational Data at the Edge
Justin Kwan and Vignesh Ravichandran discuss Cloudflare’s edge database architecture, unique challenges and practices for data replication, failover and recovery, and custom performance techniques.
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How to Get Tech-Debt on the Roadmap
Ben Hartshorne discusses how to pitch a product, covering why one needs to make a business case, what tech debt is, what data is most compelling, and getting tech debt on other teams’ roadmaps.
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Portfolio Analysis at Scale: Running Risk and Analytics on 15+ Million Portfolios Every Day
William Chen discusses the importance of trimming your computational graph, storing data in multiple formats, leveraging open source, and considering multiple dimensions of modularization.
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The Journey to a Million Ops / Sec / Node in Venice
Alex Dubrouski, andGaojie Liu discuss some of the tricks used in their pursuit to lower read latency and to reach 1M operations per second per node.
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Lessons from Leading the Serverless First Journey at CapitalOne
George Mao discusses their journey into serverless, the best practices they picked up, the lessons learned along the way, and the optimizations for Lambda.