Deploying a Gatsby Static Site on Deployxa
Key Facts
Direct answer: The direct answer is that Deployxa auto-detects Gatsby from your `package.json` (which includes `gatsby`). It configures the build and start commands: the build command is `npm run build` (which produces a `public/` directory with static files), and the start command runs a static file server.
Why Gatsby Is a Great Choice for Content-Heavy Sites: Three reasons explain why Gatsby is a great choice for content-heavy sites.
The Architecture: Gatsby + Static File Server: Here is how Deployxa deploys a Gatsby static site.
Step-by-Step: Deploying a Gatsby Static Site: Here is the exact workflow for a typical Cursor-generated Gatsby site.
Performance: Gatsby vs Next.js vs Astro: Gatsby, Next.js, and Astro are three leading React-based static site generators.
Gatsby is a popular static site generator for React, known for its rich plugin ecosystem, image optimization, and excellent performance for content-heavy sites like blogs, documentation, and marketing pages. While Next.js has become the dominant React framework, Gatsby remains a strong choice for static sites that need a rich plugin ecosystem and GraphQL data layer. Deployxa's zero-config engine handles the Gatsby deployment automatically, detecting the framework from your `package.json` and configuring the build and start commands. Here is how to deploy a Gatsby static site on Deployxa.
The direct answer is that Deployxa auto-detects Gatsby from your `package.json` (which includes `gatsby`). It configures the build and start commands: the build command is `npm run build` (which produces a `public/` directory with static files), and the start command runs a static file server. The AutoRepairService handles missing dependencies. You do not write a Dockerfile. For more on static site deployment, see our article on deploying an Astro static site.
Why Gatsby Is a Great Choice for Content-Heavy Sites
Three reasons explain why Gatsby is a great choice for content-heavy sites. First, its GraphQL data layer lets you pull data from multiple sources (CMSs, APIs, Markdown files) into a unified query interface, which makes data management clean and flexible. Second, its plugin ecosystem is rich, with plugins for image optimization, SEO, sitemaps, RSS feeds, and more, which means you do not have to build these features yourself. Third, its static output is fast and secure, because there is no server to hack and no database to compromise. For content-heavy sites (blogs, documentation, marketing pages), Gatsby is an excellent choice. For more on static sites, see our article on SPA vs SSR hardware sizing.
The Architecture: Gatsby + Static File Server
Here is how Deployxa deploys a Gatsby static site.
The Gatsby container
The ingestion service detects Gatsby from your `package.json`. It configures the build and start commands:
- Build command: `npm run build` (which runs `gatsby build`)
- Output directory: `public`
- Start command: Static file server (e.g., `gatsby serve` or `npx serve public`)
- Runtime: Node 20
The static file server
For Gatsby static sites, Deployxa serves the `public/` directory via a static file server, with SPA fallback for client-side routing.
The reverse proxy
Traefik v3 routes traffic from your custom domain to the static file server, with automatic SSL via Let's Encrypt.
Step-by-Step: Deploying a Gatsby Static Site
Here is the exact workflow for a typical Cursor-generated Gatsby site.
Step 1: Create your Gatsby site
```bash
npm install -g gatsby-cli
gatsby new my-site
cd my-site
```
Step 2: Create a page
```jsx
// src/pages/index.js
import React from 'react';
import { graphql } from 'gatsby';
import Layout from '../components/Layout';
export default function Home({ data }) {
return (
My Gatsby Site
Welcome to my Gatsby site deployed on Deployxa.
);
}
```
Step 3: Add a health check
Gatsby generates static HTML, so the health check is just a static file. Create a `static/health.json` file:
```json
{ "status": "ok" }
```
Step 4: Push to GitHub
```bash
git init
git add .
git commit -m "gatsby site"
git remote add origin https://github.com/yourname/my-site.git
git push -u origin main
```
Step 5: Connect to Deployxa
In the Deployxa dashboard, connect your repository. Deployxa auto-detects Gatsby:
```text
[ingest] Detected Node.js project
[ingest] Framework: gatsby
[ingest] Runtime: node 20.x
[ingest] Build command: npm run build
[ingest] Output directory: public
[ingest] Start command: gatsby serve --host 0.0.0.0 --port $PORT
```
Step 6: Deploy
Click Deploy. The build runs `gatsby build`, which produces the `public/` directory. The container starts the static file server, and your site is live within 60 to 90 seconds.
Step 7: Add a custom domain
Add a custom domain in the Deployxa dashboard. SSL is provisioned automatically.
Step 8: Verify with deployxa doctor
Run `deployxa doctor` to verify health. The 14-point readiness engine checks SSL, DNS, environment variables, health endpoints, and container status.
Common Pitfalls and Troubleshooting
The first pitfall is build time. Gatsby's build can be slow (2-5 minutes) for large sites, because it generates static HTML for every page. The fix is to use incremental builds (via `GATSBY_EXPERIMENTAL_PAGE_BUILD_ON_DATA_CHANGES=true`) and to cache the build output. The second pitfall is image optimization. Gatsby's image optimization (via `gatsby-plugin-image`) is powerful but can be slow, because it generates multiple sizes for each image. The fix is to limit the number of images per page and to use lazy loading. The third pitfall is the GraphQL data layer. Gatsby's GraphQL queries can be complex, and incorrect queries can cause build failures. The fix is to test queries in the GraphiQL IDE (available at `http://localhost:8000/__graphql` during development). The fourth pitfall is environment variables. Gatsby uses `GATSBY_*` prefix for client-side environment variables, which are inlined at build time. The fix is to set them in the Deployxa dashboard before triggering the build. The fifth pitfall is the `gatsby serve` command. `gatsby serve` is for local preview, not for production. For production, use a dedicated static file server. Deployxa's zero-config engine handles this automatically.
Performance: Gatsby vs Next.js vs Astro
Gatsby, Next.js, and Astro are three leading React-based static site generators. Gatsby produces fast static sites with a rich plugin ecosystem, but its build is slow. Next.js (with `output: 'export'`) produces static sites with a simpler build, but fewer plugins. Astro produces the fastest static sites (zero JavaScript by default), but it is not React-first. For content-heavy sites that need a rich plugin ecosystem, Gatsby is a good choice. For simpler static sites, Next.js or Astro is better. Deployxa supports all three equally. For more on framework comparisons, see our articles on deploying a Next.js 15 app and deploying an Astro static site.
Advanced Gatsby Patterns
Beyond the basics, Gatsby sites benefit from several advanced patterns. The first is the GraphQL data layer. Gatsby's GraphQL data layer lets you pull data from multiple sources (CMSs, APIs, Markdown files) into a unified query interface, which makes data management clean and flexible. The second is the plugin ecosystem. Gatsby has plugins for image optimization (`gatsby-plugin-image`), SEO (`gatsby-plugin-seo`), sitemaps (`gatsby-plugin-sitemap`), RSS feeds (`gatsby-plugin-feed`), and more, which means you do not have to build these features yourself. The third is incremental builds. Gatsby supports incremental builds (via `GATSBY_EXPERIMENTAL_PAGE_BUILD_ON_DATA_CHANGES=true`), which only rebuilds changed pages, which significantly reduces build time for large sites. The fourth is preview mode. Gatsby supports preview mode (via `gatsby-plugin-preview`), which lets content editors preview their changes before publishing. The fifth is testing. Gatsby has testing support (via `jest` and `@testing-library/react`), which makes it easy to write unit and integration tests. For more on testing, see our article on the testing void.
Scaling and Long-Term Considerations
As your project grows beyond the initial deployment, several long-term considerations become important. The first is scalability planning. What works for 100 users might not work for 1000 or 10000 users. Plan ahead by understanding your bottlenecks: is it the database (add indexes, use read replicas), the app server (add containers, use auto-scaling), or the network (use a CDN, optimize assets)? Monitor your resource usage trends and scale proactively before you hit limits, not reactively after an outage. For more on scaling, see our article on how to scale your SaaS from MVP to first customers.
The second consideration is maintainability. As your codebase grows, technical debt accumulates. Regular refactoring, dependency updates, and code reviews keep the codebase healthy. Schedule time for maintenance (e.g., one day per month) and treat it as a feature, not an afterthought. For more on maintenance, see our article on the SaaS founder's guide to dependency management.
The third consideration is team growth. What happens when you hire your first engineer? Is the codebase understandable? Is the deployment process documented? Are the environment variables inventoried? A well-documented, well-structured project makes onboarding faster and reduces the risk of mistakes. For more on team handoff, see our article on how to build a deployment process your future team can inherit.
The fourth consideration is cost evolution. As you scale, costs increase. Without monitoring, costs can exceed revenue. Track your cost-per-user metric (total hosting cost / number of active users) and ensure it stays below your revenue-per-user. For more on cost management, see our article on the SaaS founder's guide to cost optimization.
The fifth consideration is disaster recovery. As you grow, the impact of data loss or downtime increases. Regularly test your backup restore, your rollback procedure, and your incident response plan. An untested plan is not a plan. For more on disaster recovery, see our article on the SaaS founder's guide to disaster recovery planning.
Conclusion: Gatsby Without the Configuration
Gatsby is a popular static site generator with a rich plugin ecosystem, and deploying it should be as simple as pushing to Git. Deployxa's zero-config engine makes it so: no Dockerfile, no server configuration, no build management. Stop configuring servers and start shipping.
Ready to deploy your Gatsby site? Drag your project to Deployxa Drop for an instant live preview, or install the CLI with `npm i -g @deployxa/cli` and deploy from your terminal. For more on framework deep-dives, see our articles on deploying a NestJS app and deploying a Vue 3 + Vite SPA. Learn about deploying a Fastify API and deploying a Next.js 15 app in our companion articles. Explore our free developer tools to speed up your workflow.