HTML is a form of derived data that must be updated whenever its source content or code changes.
Batch processing is efficient for large datasets but has high latency, while application caching offers fresher data at a higher computational cost.
Static site generators (SSG) follow a batch processing model, while server-side rendering (SSR) uses on-demand generation with application caching.
Database indexes provide a model for maintaining derived data by reacting directly and efficiently to individual data change events.
Gatsby models the flow of data from a CMS through nodes and pages, using GraphQL to declare dependencies for automatic and precise updates.
A live demonstration shows how Gatsby Cloud rebuilds and deploys a site in under two seconds by reacting instantly to a CMS content change.
As sites grow, SSGs become too slow for updates, while SSR faces risks from traffic spikes and requires over-provisioning or serving stale data.
Frameworks with first-class data models like Gatsby or Drupal can automate cache invalidation, which is faster and less error-prone than manual or TTL-based approaches.
Gatsby improves initial build times by first scaling vertically to use all CPU cores on one machine, and then horizontally by distributing work across multiple machines.
43:20Josh Goldberg
42:04Tamas Piros
32:56Laurie Voss
30:42Eddy Vinck
46:46Chris Ferdinandi
26:30Marius Obert
51:10Laurie Voss
39:24Anil Kumar Krishnashetty
Jobs that call for the skills explored in this talk.
doinstruct Software GmbH
Berlin, Germany
GULP Information Services GmbH
tarent solutions GmbH
tarent solutions GmbH