World Congress 2022 Jun 15, 2022

How Gatsby Cloud's real-time streaming architecture drives <5 second builds

Kyle Mathews

By modeling HTML generation after database indexes, Gatsby eliminates slow static rebuilds and complex SSR caches. See how its reactive streaming architecture drives sub-five-second publish times.

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#1 about 6 min

Building and updating HTML content as derived data

Exploring ways to transform inputs into updated site documents without constant recomputation.

#2 about 6 min

Tradeoffs of batch processing and application caching

Evaluating historical caching methods and their impacts on computational load and data freshness.

#3 about 8 min

Comparing static site generation and server-side rendering

Breaking down cold start speeds and deployment times for pre-rendered and on-demand web architectures.

#4 about 6 min

Using database indexes and reactive processing patterns

How explicit data pipelines use targeted transformations to react immediately to single input updates.

#5 about 8 min

Implementing reactive data flows for incremental builds

Using dependency tracking to immediately rebuild only the components affected by a content change.

#6 about 5 min

Managing content scale and cache invalidation bottlenecks

Overcoming the severe performance limits of traditional static and server-rendered frameworks at massive scale.

#7 about 5 min

Scaling build systems vertically and horizontally

Distributing component rendering and query executions across multiple cores to accelerate initial site constructions.

#8 about 2 min

Concluding thoughts on infinite background computation architectures

Envisioning a future of infinitely scalable computing for resolving traditional site generation dependencies.

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Modern application stacks and real-time data requirements

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Leveraging server-side streaming for performance and interactivity

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