Incremental Static Regeneration (ISR) is a rendering mechanism, popularized by Next.js, that enables the selective re-generation of individual static pages at runtime. Unlike traditional Static Site Generation (SSG), which requires a complete rebuild to update any content, ISR allows developers to specify a revalidate interval. When a request arrives after this interval, the cached page is served while a new version is regenerated in the background.
Glossary
Incremental Static Regeneration (ISR)

What is Incremental Static Regeneration (ISR)?
Incremental Static Regeneration (ISR) is a hybrid rendering strategy that allows developers to update static pages on a per-page basis without requiring a full site rebuild, combining the performance of static generation with the flexibility of server-side rendering.
This strategy relies on a stale-while-revalidate caching pattern, ensuring zero-downtime updates. The first user to trigger a regeneration after the time-to-live (TTL) expires receives the stale cached page, while the server builds the fresh version for subsequent visitors. This effectively decouples content publishing frequency from build times, making it ideal for large-scale e-commerce product pages or content sites where data changes periodically but full rebuilds are computationally prohibitive.
Key Features of Incremental Static Regeneration
Incremental Static Regeneration (ISR) is a hybrid rendering strategy that allows developers to update static pages on a per-page basis without requiring a full site rebuild. It combines the performance of static generation with the flexibility of server-side rendering.
Per-Page Revalidation
ISR allows individual pages to be regenerated in the background when a request arrives after a specified revalidation interval (revalidate prop). The first request after expiry triggers a rebuild, while subsequent requests continue to receive the stale cached version until the new page is ready. This avoids full-site rebuilds and ensures atomic updates.
- Stale-while-revalidate pattern: serve cached content, then update
- Revalidation interval defined in seconds (e.g.,
revalidate: 60) - Only pages receiving traffic are regenerated, saving compute
On-Demand Revalidation
Beyond time-based intervals, ISR supports on-demand revalidation via an API route or webhook. When content in a headless CMS changes, a webhook can trigger immediate regeneration of specific pages by calling res.revalidate(path). This eliminates the latency of waiting for the next interval and ensures content updates propagate instantly.
- Webhook-driven invalidation from CMS events
- Path-specific targeting: regenerate only affected routes
- Programmatic control via
unstable_revalidateor stable API routes
Fallback Strategies
ISR provides granular control over how new pages are handled before they exist in the cache. The fallback key in getStaticPaths accepts three modes:
false: Return 404 for non-pre-rendered pathstrue: Serve a loading state while generating the page on first request, then cache it'blocking': Wait for server-side generation to complete before serving the response, with no loading state visible to the user
This enables lazy generation of large content sets without pre-building every page.
Edge-Compatible Caching
ISR integrates with edge caching infrastructure to serve regenerated pages from the CDN. Once a page is rebuilt, the updated HTML is pushed to the edge, ensuring subsequent visitors worldwide receive the fresh content with static-level latency. This decouples regeneration frequency from global distribution speed.
- Compatible with Vercel Edge Network, Cloudflare, and other CDNs
- Cache-Control headers managed automatically by the framework
- Regenerated pages inherit the same TTL and purge behavior as static assets
Incremental Build vs. Full Rebuild
Traditional Static Site Generation (SSG) requires rebuilding the entire site when any content changes, which becomes prohibitively slow for large sites. ISR solves this by treating the static build as a baseline snapshot and applying incremental patches over time.
- Build time: Only pre-render critical pages; defer the rest
- Runtime regeneration: Pages update independently without redeployment
- Cost efficiency: Compute is proportional to traffic, not site size
This makes ISR ideal for e-commerce catalogs, documentation sites, and content platforms with millions of pages.
Data Fetching at Regeneration Time
During regeneration, ISR re-executes the getStaticProps function, allowing pages to pull fresh data from APIs, databases, or headless CMS backends. This ensures regenerated pages reflect the latest data without requiring a full deployment.
- Server-side data fetching during background regeneration
- Supports async/await for database queries and external API calls
- Error handling: If regeneration fails, the previous cached version remains served
- Combine with Content Federation patterns to aggregate data from multiple sources
ISR vs. SSG vs. SSR
A technical comparison of the three primary rendering strategies for modern web applications, evaluating their data freshness, build performance, and infrastructure requirements.
| Feature | ISR | SSG | SSR |
|---|---|---|---|
Data Freshness | Stale-while-revalidate; updated per-request after timeout | Stale until next full site rebuild | Always fresh; generated at request time |
Time to First Byte (TTFB) | < 50ms (cached); ~200ms (revalidate) | < 50ms | 200-800ms |
Build Time for 100k Pages | < 5 min (initial); incremental thereafter | 30-120 min | 0 min (no build step) |
Requires Live Server | |||
CDN Cacheable | |||
Per-Page Updates | |||
Cold Start Latency | None (pre-rendered) | None (pre-rendered) | High (requires server boot) |
Database Dependency at Runtime | Only during revalidation | None | Every request |
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Frequently Asked Questions
Clear, technically precise answers to the most common questions about Incremental Static Regeneration (ISR), a hybrid rendering strategy that updates static pages on a per-page basis without requiring a full site rebuild.
Incremental Static Regeneration (ISR) is a hybrid rendering strategy, popularized by Next.js, that allows developers to update static pages on a per-page basis without requiring a full site rebuild. ISR works by serving a statically generated page to the first user request, then regenerating that specific page in the background when a defined revalidation interval has elapsed. The mechanism relies on a revalidate property set in the page's getStaticProps function, which specifies the number of seconds after which a fresh version of the page should be generated. When a request arrives after the revalidation window, the stale-while-revalidate pattern kicks in: the user immediately receives the cached (stale) version, while the server triggers a background regeneration. Subsequent requests then receive the newly generated page. This approach combines the performance benefits of Static Site Generation (SSG) with the freshness of Server-Side Rendering (SSR), making it ideal for content that changes periodically but doesn't require real-time updates, such as product pages, blog posts, or documentation.
Related Terms
Understanding Incremental Static Regeneration requires familiarity with the rendering strategies and architectural patterns that surround it in the modern Jamstack ecosystem.
Static Site Generation (SSG)
A build-time rendering technique where all pages are pre-rendered into static HTML, CSS, and JavaScript files. Unlike ISR, traditional SSG requires a full site rebuild to update any single piece of content. The entire site is regenerated, which becomes prohibitively slow at scale. ISR solves this by allowing per-page regeneration without a full rebuild, making SSG viable for sites with millions of pages.
Server-Side Rendering (SSR)
A technique where HTML is generated on-demand at request time on the server. While SSR guarantees fresh content on every request, it introduces latency and server load. ISR bridges the gap between SSG and SSR by serving statically cached pages that are regenerated in the background when stale, combining the speed of static delivery with the freshness of dynamic rendering.
Stale-While-Revalidate (SWR)
An HTTP caching strategy popularized by Vercel where a cached response is served immediately (stale) while a background process fetches an updated version (revalidate). ISR implements this pattern at the page level:
- First request gets the cached page instantly
- A regeneration is triggered in the background
- Subsequent requests receive the updated page This ensures users never wait for a build.
Edge Caching
The practice of storing content copies on geographically distributed CDN servers to serve requests from the nearest point of presence. ISR-generated pages are stored at the edge, meaning the regenerated static files propagate across the CDN. When a page is revalidated, the new version replaces the stale cache globally, ensuring all users receive the updated content with minimal latency.
Cache Invalidation
The process of purging or marking cached objects as stale when origin content changes. ISR provides programmatic cache invalidation through:
- Time-based revalidation (
revalidateprop) - On-demand revalidation via API routes
- Manual cache purging through platform dashboards This granular control ensures content updates propagate precisely when needed without flushing entire cache regions.
Jamstack
A modern web architecture based on JavaScript, APIs, and Markup. ISR is a key evolution of the Jamstack paradigm, addressing its historical limitation of long build times for large sites. By enabling incremental updates, ISR allows Jamstack sites to scale to hundreds of thousands of pages while maintaining the security and performance benefits of pre-rendered static assets served from a CDN.

About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
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