Rebuilding Notion’s lexical search reindexer
How we replaced a manual, multi-week search indexing process with a Spark-native pipeline that’s faster, safer, and easier to run.
Aravind Selvan, Calder Lund, and Gaurang Sadekar
Reflexiones sobre cómo será el trabajo en el futuro,
según las personas y los equipos que lo crean.
según las personas y los equipos que lo crean.
Tecnología
— Cómo creamos Notion, bloque a bloque.
Enabling Multi-Region Data Systems at Notion
Learn how we built multi-region data infrastructure—spanning search, analytics, AI, and event logging—to ensure customer data is processed and stored entirely within its home region.Justin Lee, Adam Hudson
How Notion catches breaking schema changes before they reach production
How we built a CI guardrail to catch breaking schema changes automatically, and some of the design decisions that shaped it.
Maya Lekhi
Engineering, Notion
Updating the design of Notion pages
In recent months, we decided to revisit our page designs and apply our design rules to them more consistently.
Paul Velleux
Product Designer, Notion
How we built security into Custom Agents
A look inside the security model behind Custom Agents, and what we learned testing it at scale.Sean Keenan, Jacob Brackett
Two years of vector search at Notion: 10x scale, 1/10th cost
This is the story of how we scaled our vector search infrastructure by 10x while simultaneously reducing costs by 90 percent over the past two years.Preeti Gondi, Mickey Liu, Nathan Louie, Calder Lund, Jacob Sager
Balancing cost and reliability for Spark on Kubernetes
Today, we’re excited to open-source Spot Balancer in collaboration with AWS, a tool that helped us reduce Spark compute costs by up to 90% while maintaining reliability.
Justin Lee
Software Engineer, Notion
How we made Notion available offline
Offline Mode was Notion's most requested feature for years, but building it meant solving tough technical challenges around our unique block architecture. Here's the architecture and data model that made it possible.
Raymond Xu
Software Engineer, Notion
Speed, Structure, and Smarts: The Notion AI Way
How we combine AI with structured data to deliver a best-in-class work product.
Sarah Sachs
How we evolve code: Notion’s “ratcheting” system using custom ESLint rules
Our custom ESLint approach gradually modernizes code without slowing development. By systematically tracking violations and distributing the workload of fixing them, we maintain high code-quality standards while keeping engineers focused on what matters most.Ankit Sardesai, Jake Teton-Landis