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# Jamstack and Web Performance, a match made in heaven

Are legacy origin servers bottlenecking your applications? Discover how Jamstack’s decoupled architecture and build-time rendering instantly resolve backend latency to maximize your core web vitals.

- **Speakers:** [Tamas Piros](https://www.wearedevelopers.com/@tamas-piros)
- **Event:** World Congress 2021
- **Published:** June 29, 2021
- **Duration:** 42:04
- **URL:** https://www.wearedevelopers.com/videos/169-jamstack-and-web-performance-a-match-made-in-heaven

## Summary

Over the past decade, average web page sizes and asset requests have skyrocketed, making sluggish performance a primary risk to both user experience and business revenue. Traditional approaches like the LAMP or MEAN stack rely on origin servers to process requests and render pages at runtime, which inherently bottlenecks response times and scales poorly under load.

The Jamstack architecture (JavaScript, APIs, and Markup) offers a modern alternative by decoupling the frontend from the backend. Instead of rendering at request-time, developers use static site generators like 11ty, Gatsby, or Nuxt to pre-render HTML markup at build-time. This content is then deployed directly to globally distributed edge networks via platforms like Netlify or Vercel. Because the frontend is served statically, dynamic web app functionalities—such as authentication, media processing, or payment gateways—are seamlessly handled by specialized, domain-specific APIs and serverless functions.

By leveraging edge servers, Jamstack natively resolves critical backend performance enhancements like automated caching, compression, and load balancing. However, frontend speed must still be rigorously tracked to align with core web vitals (like Largest Contentful Paint and Cumulative Layout Shift), which directly impact search visibility. Using local dev tools like Lighthouse for lab data, alongside PageSpeed Insights for field data and real user metrics, helps pinpoint frontend delivery bottlenecks. Ultimately, pairing this architecture with media-optimized APIs ensures rapidly converting, lightweight applications.

**Keywords:** jamstack architecture, web performance optimization, origin server limitations, edge server deployment, static site generators, build-time rendering, domain-specific apis, serverless functions, core web vitals, largest contentful paint, cumulative layout shift, real user metrics, lighthouse lab data, pagespeed insights field data, frontend asset optimization, frontend load balancing

## Chapters

1. **The evolution of average web page sizes** (00:03) — Historical web data reveals a continuous increase in overall page weights and digital asset sizes.
1. **Business impact of slow website performance metrics** (05:29) — Fast-loading websites actively improve overall user experiences and protect vital e-commerce revenue streams.
1. **Defining the Jamstack architecture and core principles** (06:45) — The Jamstack architecture eliminates origin servers by decoupling the frontend through JavaScript, API services, and markup.
1. **Replacing backend origin servers with edge networks** (08:00) — Modern edge caching servers deliver assets faster across disparate geographical locations than centralized origin servers.
1. **Generating static markup using static site generators** (12:24) — Static site generators solve dynamic rendering delays by pre-generating static html documents during automated builds.
1. **Adding dynamic functionality using external API services** (16:19) — Third-party endpoints and serverless functions supply dynamic execution capabilities without requiring dedicated backend hosting.
1. **Automating web deployments to global edge networks** (19:52) — Integrating source control directly with hosting platforms enables seamless automated deployments to global edge networks.
1. **Key considerations for web performance optimization strategies** (23:00) — Optimizing both server configurations and frontend asset delivery is essential for passing modern performance audits.
1. **Built-in performance benefits of the Jamstack architecture** (24:52) — Adopting static generation frameworks inherently resolves complex performance tasks like asset minification and caching invalidations.
1. **Testing local site performance with Lighthouse audits** (27:48) — The Lighthouse auditing tool allows developers to locally measure and debug critical core web vitals.
1. **Analyzing real user metrics with PageSpeed Insights** (34:27) — PageSpeed Insights uncovers authentic rendering bottlenecks by analyzing chronological field data from actual user connections.
1. **Optimizing media delivery using content delivery networks** (38:08) — Delegating image handling to specialized cloud providers dramatically reduces total bandwidth payloads through automatic compression.

## Related Moments

- [Leveraging jamstack and edge computing for frontend delivery](https://www.wearedevelopers.com/videos/489-modern-headless-commerce-with-vendure) (from "Modern Headless Commerce with Vendure")
- [Leveraging the JAMstack concept for content-driven web applications](https://www.wearedevelopers.com/videos/118-how-to-stop-choosing-javascript-frameworks-and-start-living) (from "How to Stop Choosing JavaScript Frameworks and Start Living")
- [Understanding JAMstack through static and dynamic examples](https://www.wearedevelopers.com/videos/97-headless-and-jamstack-the-state-of-commerce-today) (from "Headless and JAMstack - The State of Commerce Today")
- [Reducing environmental impact with static site generators and Jamstack](https://www.wearedevelopers.com/videos/308-how-your-bundle-size-affects-the-climate) (from "How Your Bundle Size Affects The Climate")
- [Core principles of the modern JAMstack development mindset](https://www.wearedevelopers.com/videos/97-headless-and-jamstack-the-state-of-commerce-today) (from "Headless and JAMstack - The State of Commerce Today")
- [Leveraging Gatsby for React-based static site generation](https://www.wearedevelopers.com/videos/421-next-nest-nuxt-nust) (from "Next, Nest, Nuxt… Nust?")

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