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LinkedIn Consolidates Hiring Data Pipelines to Power AI Driven Talent Systems
LinkedIn introduced a unified integrations platform to standardize and reconcile hiring data across systems. The platform reduces onboarding time by 72%, improves data consistency and completeness, and enables scalable AI-driven hiring features through standardized schemas, orchestration workflows, and centralized data processing.
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Architecting for Global Scale: inside DoorDash’s Unified, Composable Dasher Onboarding Platform
DoorDash has rebuilt its Dasher onboarding into a unified, modular platform to support global expansion. The new architecture uses reusable step modules, a centralized status map, and workflow orchestration to ensure consistent, localized onboarding experiences. This design reduces complexity, supports market-specific variations, and enables faster rollout to new countries.
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Uber Moves from Static Limits to Priority-Aware Load Control for Distributed Storage
Uber engineers detailed how they evolved their storage platform from static rate limiting to a priority-aware load management system. The approach protects Docstore and Schemaless, Uber’s MySQL-based distributed databases, by colocating control with storage, prioritizing critical traffic, and dynamically shedding load under overload conditions.