Does PlanetScale Work With Kubernetes?
PlanetScale works seamlessly with Kubernetes—deploy your app in K8s and connect to PlanetScale's serverless MySQL via standard connection strings.
Quick Facts
How PlanetScale Works With Kubernetes
PlanetScale and Kubernetes integrate naturally because PlanetScale exposes standard MySQL connectivity (host, port, credentials) that any containerized application can consume. You deploy your app container in Kubernetes, pass PlanetScale connection credentials as environment variables or Kubernetes Secrets, and your app connects via the MySQL protocol. PlanetScale's branching feature pairs well with K8s—you can create feature branches for testing and wire them to staging namespaces. Connection pooling is essential; use a sidecar like PgBouncer or rely on your application's connection pool (e.g., Prisma, SQLAlchemy) to avoid hitting PlanetScale's connection limits. PlanetScale handles all database ops—scaling, backups, HA—so you only manage your app layer in Kubernetes, reducing operational burden significantly.
Best Use Cases
Quick Setup
npm install dotenv mysql2/promiseimport mysql from 'mysql2/promise';
import dotenv from 'dotenv';
dotenv.config();
async function connectToPlanetScale() {
const connection = await mysql.createConnection({
host: process.env.DB_HOST,
user: process.env.DB_USER,
password: process.env.DB_PASSWORD,
database: process.env.DB_NAME,
ssl: 'Amazon RootCA1',
waitForConnections: true,
connectionLimit: 10,
queueLimit: 0,
});
const [rows] = await connection.execute('SELECT VERSION() as version');
console.log('Connected to PlanetScale:', rows);
await connection.end();
}
connectToPlanetScale().catch(console.error);Known Issues & Gotchas
Connection limit exhaustion when running many K8s pods without connection pooling
Fix: Implement a connection pooler (PgBouncer sidecar, or use an ORM with built-in pooling like Prisma). PlanetScale allows ~1000 connections; with proper pooling, you can support thousands of app instances.
FOREIGN KEY constraint enforcement behavior differs between PlanetScale and traditional MySQL
Fix: Test schema migrations thoroughly. PlanetScale uses online DDL which changes constraint handling during the migration window. Review PlanetScale's migration docs before deploying to K8s.
Secrets management—hardcoding credentials in ConfigMaps or env vars is insecure
Fix: Use Kubernetes Secrets and mount them as volumes or env vars. Better yet, integrate with HashiCorp Vault or AWS Secrets Manager for dynamic credential rotation.
Regional latency if your K8s cluster is far from PlanetScale's region
Fix: Deploy K8s in the same region as your PlanetScale instance. PlanetScale currently operates in us-east, us-west, and eu-west regions.
Alternatives
- •AWS RDS MySQL + Kubernetes—traditional managed database with VPC networking, heavier ops overhead
- •Supabase (PostgreSQL) + Kubernetes—PostgreSQL alternative with branching, similar serverless experience
- •CockroachDB + Kubernetes—distributed SQL with native K8s operator, better for high-scale distributed systems
Resources
Related Compatibility Guides
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