🔧 AI Nachrichten Major AI platforms go down in unprecedented simultaneous outage(03.09.2026 um 17:34 Uhr)
🔧 AI Nachrichten ChatGPT, Claude, and Grok Down? Users Report Widespread Outages(03.09.2026 um 19:14 Uhr)
🔧 AI Nachrichten OpenAI Launches GPT-6 Astra, Says We May Have Entered the AGI Era(03.09.2026 um 22:08 Uhr)
🔧 AI Nachrichten Claude Comes to CarPlay as Fifth Major AI Chatbot App(05.09.2026 um 05:31 Uhr)
🔧 AI Nachrichten OpenAI’s GPT-6 Astra Is AGI, Says NVIDIA CEO Jensen Huang(07.09.2026 um 06:31 Uhr)
🔧 AI Nachrichten Blame AI companies for Mac mini and Mac Studio shortage(31.08.2026 um 10:32 Uhr)
🔧 AI Nachrichten Major AI platforms go down in unprecedented simultaneous outage(03.09.2026 um 17:34 Uhr)
🔧 AI Nachrichten ChatGPT, Claude, and Grok Down? Users Report Widespread Outages(03.09.2026 um 19:14 Uhr)
🔧 AI Nachrichten OpenAI Launches GPT-6 Astra, Says We May Have Entered the AGI Era(03.09.2026 um 22:08 Uhr)
🔧 AI Nachrichten Claude Comes to CarPlay as Fifth Major AI Chatbot App(05.09.2026 um 05:31 Uhr)
🔧 AI Nachrichten OpenAI’s GPT-6 Astra Is AGI, Says NVIDIA CEO Jensen Huang(07.09.2026 um 06:31 Uhr)
🔧 AI Nachrichten Blame AI companies for Mac mini and Mac Studio shortage(31.08.2026 um 10:32 Uhr)

🔧 Programmierung 🕛 kürzlich 6 Min Lesezeit
0

Harnessing Cloudflare D1 and Drizzle ORM for Scalable Serverless Apps in Next.js

↗ Quelle (dev.to)
🗣️ Stimme:
📑 Inhaltsübersicht

Building serverless APIs has become a game-changer for modern application development. With tools like Cloudflare D1, a lightweight serverless database, and Drizzle ORM, a type-safe and developer-friendly ORM, managing data for APIs can be simple, efficient, and scalable. These technologies work seamlessly together to eliminate the complexity of traditional database hosting and simplify data interactions.



In this blog, we'll show you how to use Cloudflare D1 as the serverless database backend for your API application. While the API itself can be hosted on Cloudflare workers, we'll focus on deploying the database to Cloudflare's edge network, ensuring global availability, low latency, and effortless scaling. Drizzle ORM will handle the database operations, making queries and schema management straightforward and type-safe.



By the end of this guide, you'll have a serverless database deployed with Cloudflare D1 and a clear understanding of how to integrate it with your API application using Drizzle ORM. Let's dive in!






Prerequisites




  • Node JS.

  • Cloudflare account.

  • Wrangler[CLI tool for Cloudflare] setup on local.






Setting up Project



Run the following command in the Terminal to create a next.js application to be deployed to Cloudflare.



npm create cloudflare@latest -- drizle-d1-demo --framework=next



While app creation select the option as shown in the images:




  • What would you like to start with? Framework Starter

  • Which development framework do you want to use? Next

  • TypeScript? Yes

  • ESLint? Yes,

  • Tailwind CSS? Yes,

  • src/ directory? No,

  • App Router? Yes,

  • Import alias? Yes,

  • Import alias configured? @/*

  • Do you want to deploy the application? No






Creating D1 Database



npx wrangler d1 create drizzle-demo-db




Once the creation is complete copy the database details from your terminal and paste in ./wrangler.toml





CODE
[[d1_databases]]
binding = "DB"
database_name = "drizzle-demo-db"
database_id = "9443a6ee-a77d-44d8-8eb5-977d51c06918"









Installing and setting up Drizzle



Run the following command:



npm add drizzle-orm drizzle-kit




Post creation of db add the following to ./wrangler.toml




migrations_dir = 'drizzle'



We need to generate a database type to make the DB initialization type safe. Run:



wrangler types --env-interface CloudflareEnv env.d.ts



Extending process.env to have database bindings ass the following code to globals.d.ts




CODE
declare global {
namespace NodeJS {
interface ProcessEnv extends CloudflareEnv {
}
}
}//extends process.env to have new types given by cloudflare

export type {};









Creating Schema & initializing DB




./schema.ts





CODE
import {integer, sqliteTable, text} from "drizzle-orm/sqlite-core";
import dayjs from "dayjs";

export const todosTable = sqliteTable('todos', {
id: integer("id").primaryKey({autoIncrement: true}),
title: text("title").notNull(),
completed: integer("completed", {
mode: 'boolean'
}),
createdAt: integer("createdAt", {
mode: 'timestamp'
}).$defaultFn(() => dayjs().toDate()),
updatedAt: integer("createdAt", {
mode: 'timestamp'
}).$defaultFn(() => dayjs().toDate()).$onUpdateFn(() => dayjs().toDate()),
})







/db.ts





CODE
import {drizzle} from "drizzle-orm/d1";
import * as schema from "./schema"
export const db = drizzle(process.env.DB, {schema})









Setting up Drizzle config



D1 database does not allow us to query remote db for local development intend to create a local db in the system to use thus first we need to create that and then go for remote db.



Add the following in drizzle.config.ts




CODE
import {defineConfig} from "drizzle-kit";
export default defineConfig({
dialect: 'sqlite',
schema: './app/api/server/schema.ts',
out: './drizzle',
})







Add scripts in package.json





CODE
"db:generate": "drizzle-kit generate",
"db:midrate:local": "wrangler d1 migrations apply drizzle-demo-db --local",
"db:midrate:prod": "wrangler d1 migrations apply drizzle-demo-db --remote"`

`npm db:generate
npm db:midrate:local






This should create a .wrangler folder that has the local db and the./drizzle folder will have the migration files



Let us add the code for the remote DB. The final code in drizzle.config.ts




CODE
import path from "node:path";
import * as fs from "node:fs";
import {defineConfig} from "drizzle-kit";

function getLocalD1DB() {
try {
const basePath = path.resolve(".wrangler")
const dbFile = fs.readdirSync(basePath, {encoding: "utf-8", recursive: true}).find((f) => f.endsWith('.sqlite'))

if (!dbFile) {
throw new Error('.sqlite file not found')
}

const url = path.resolve(basePath, dbFile)
return url;
} catch (e) {
console.error(`Error ${e}`)
}
}

export default defineConfig({
dialect: 'sqlite',
schema: './app/api/server/schema.ts',
out: './drizzle',
...(process.env.NODE_ENV === 'production' ? {
driver: 'd1-http', dbCredentials: {
accountId: process.env.CLOUDFLARE_ACCOUNT_ID,
databaseId: process.env.CLOUDFLARE_DATABASE_ID,
token: process.env.CLOUDFLARE_D1_API_TOKEN
}
} : {
dbCredentials: {
url: getLocalD1DB()
}
})
})







Create a .dev.vars file for secrets





CODE
CLOUDFLARE_ACCOUNT_ID=""
CLOUDFLARE_DATABASE_ID=""
CLOUDFLARE_D1_API_TOKEN=""






Add the following data from Cloudflare where CLOUDFLARE_DATABASE_ID is present in wrangler.toml, CLOUDFLARE_D1_API_TOKEN can be created from the Cloudflare dashboard My Profile> API TOKENS> CREATE NEW and give the API a name and following access.





Finally, run Migration to prod.



npm db:midrate:prod



Check your CloudFlare D1 for the DB with the schema defined.






Conclusion



By combining Cloudflare D1 and Drizzle ORM, you can create a powerful, streamlined setup for building and managing APIs with a serverless database backend. This approach offers several key benefits:

Global Scalability: With Cloudflare's edge network, your database is globally distributed, ensuring low-latency access for users around the world.

Simplified Deployment: Deploying the database to Cloudflare D1 removes the need to manage infrastructure, allowing you to focus entirely on application logic.



Effortless Maintenance: Drizzle ORM provides type-safe models, intuitive migrations, and a clean interface for working with your data, making it easy to build and maintain robust APIs.



Cost-Effectiveness: The serverless nature of D1 ensures you only pay for what you use, making it a budget-friendly option for applications of any size.

Future-Ready: Cloudflare's integrated ecosystem means your database can seamlessly integrate with Workers, Pages, and other services as your application grows.



This setup is perfect for developers who value performance, scalability, and simplicity. Whether you're building a small project or scaling a larger application, Cloudflare D1 and Drizzle ORM offer a modern, efficient way to handle your data needs.

With this foundation in place, you're ready to create APIs that are not only robust and reliable but also optimized for the demands of a global audience.



Thanks for Reading.

Vollständiger Original-Bericht
Ausführliche Details, Code-Beispiele & Hersteller-Stellungnahme auf dev.to.
↗ Original-Artikel auf dev.to lesen
Wie bewertest du diesen Beitrag?
1 Klick Feedback
Teilen mit Netzwerk & Team:

Community-Analysen & Experten-Meinungen 0

Verfasse deine eigene Analyse, teile Workarounds oder diskutiere diesen Vorfall im Blog.
Noch keine Community-Analyse verfasst. Markiere einen Textabschnitt oder klicke oben auf Eigene Analyse verfassen“!
Community Pulse: Relevanz-Einschätzung
1 Klick Experten-Votum
🔴 Akute Relevanz 0%
🟡 In Evaluierung 0%
🟢 Keine Auswirkung 0%
Spannende Innovation 0%
Verwandte Story-Cluster & Quellen (Vektor-KI)
Port 8095 Engine
3 Quellen
GPT-6 Astra Release Today? OpenAI’s Next Major AI Model Is Almost Here
1 Quelle
Apple accuses OpenAI of destroying evidence as trade-secrets fight intensifies
1 Quelle
Major AI platforms go down in unprecedented simultaneous outage
Ähnliche Beiträge
🔍 Verwandte News

Auch interessante Nachrichten Harnessing Cloudflare D1 and Drizzle ORM for Scalable Serverless Apps in Next.js

Thematisch verwandte Begriffe: Harnessing, Cloudflare, Drizzle, Scalable · 6 Treffer

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...