InfoQ Homepage Use Cases Content on InfoQ
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Dynamic Moments: Weaving LLMs into Deep Personalization at DoorDash
Sudeep Das and Pradeep Muthukrishnan discuss how DoorDash combines LLMs with deep learning to move from "classic" collaborative filtering to "hyper-personalization" in real-time commerce.
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Event-Driven Patterns for Cloud-Native Banking - What Works, What Hurts?
Chris Tacey-Green explains how to build resilient event-driven architectures in regulated banking, covering transactional integrity, idempotency patterns, and strategies to avoid "poisonous" messages.
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Poetry4Shellz – Avoiding Limerick Based Exploitation and Safely Using AI in Your Apps
Rich Smith provides a case study of a real world LLM based app that is vulnerable to a variety of attack vectors that illustrate the challenges to account for when integrating today's LLM technologies
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gRPC Migration Automation at LinkedIn
Karthik Ramgopal and Min Chen discuss how LinkedIn changed the remote procedure calls (RPC) protocol for 50,000 production endpoints from Rest.li to Google's gRPC.
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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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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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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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