InfoQ Homepage Project Management Content on InfoQ
-
Product Thinking for Cloud Native Engineers
Stéphane Di Cesare and Cat Morris discuss applying product thinking to engineering. They explain how focusing on outcomes over outputs helps engineers demonstrate value and secure promotions.
-
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.
-
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.
-
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
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.