From Siloed To Streamlined: The Entity Platform Story
Talkat Platform Engineering Day North America 2025 · on Monday, 2025-11-10· at 15:55· Building B | Level 5 | Thomas Murphy Ballroom 1·
summary
LinkedIn builds a unified entity platform that turns months of entity provisioning into days and query development into hours by automating DB choice, service scaffolding, ETL, privacy and ACL integration, and DevOps. The team ships a distributed SQL index plus pluggable graph database support, generates a statically typed fluent API from entity schemas, and automates onboarding with UI state machines and PR-driven migrations. V1 runs two entities at 200 QPS then scales to 30 entities and 400,000 QPS, now reporting 1.8M QPS and eight managed entities.
AI-written summary · about
chapters (20)
- 0:00LinkedIn’s entity platform intro
- 1:03What entities mean at LinkedIn
- 2:08Microservices for entities
- 2:51Adding new entities pain points
- 5:00Querying entities challenges
- 7:32Premise of entity platform
- 8:14Managed entity service concept
- 8:56Global entity index for queries
- 9:57Building with stakeholder buy-in
- 11:21Splitting project in two
- 12:07V1 release and MVP
- 13:56Declarative query API generation
- 14:41Prioritizing UX for all personas
- 15:43Platform owner dashboard
- 16:47Scaling to 400K QPS
- 17:29Incentivizing platform adoption
- 18:58Partnerships for mutual benefit
- 20:41Declarative API integration
- 21:46Current platform scale and growth
- 22:08Q&A on privacy and access
related talks
24mHow To Remove Data Siloes: Tips & Considerations
12mPower a Better Future
29mDeveloper Enterprise Consciousness: Examining the Role of Data in Business Information
29mEnhancing Flexibility and Productivity with Access Patterns and Storage-Agnostic Abstractions
40mThe Tools Empowering 5000 Employees
21mSimplify Your Data Stack: Automate Orchestrate and Integrate Data
30mData Mesh – Architecture And Insights From The Self-service Platform Boosting Financial Services
10mpresent role and future