snowflake-deploy-integration
Deploy Snowflake-powered applications with proper connection management and secrets. Use when deploying apps that query Snowflake, configuring connection pools for serverless/container platforms, or managing Snowflake credentials in production. Trigger with phrases like "deploy snowflake", "snowflake serverless", "snowflake production deploy", "snowflake Cloud Run", "snowflake Lambda".
Best use case
snowflake-deploy-integration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Deploy Snowflake-powered applications with proper connection management and secrets. Use when deploying apps that query Snowflake, configuring connection pools for serverless/container platforms, or managing Snowflake credentials in production. Trigger with phrases like "deploy snowflake", "snowflake serverless", "snowflake production deploy", "snowflake Cloud Run", "snowflake Lambda".
Teams using snowflake-deploy-integration should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/snowflake-deploy-integration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How snowflake-deploy-integration Compares
| Feature / Agent | snowflake-deploy-integration | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Deploy Snowflake-powered applications with proper connection management and secrets. Use when deploying apps that query Snowflake, configuring connection pools for serverless/container platforms, or managing Snowflake credentials in production. Trigger with phrases like "deploy snowflake", "snowflake serverless", "snowflake production deploy", "snowflake Cloud Run", "snowflake Lambda".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Snowflake Deploy Integration
## Overview
Deploy applications that connect to Snowflake on serverless platforms, containers, and VMs with proper connection lifecycle management.
## Prerequisites
- Snowflake service account with key pair auth
- Platform CLI installed (gcloud, aws, docker)
- Application tested against staging Snowflake
## Instructions
### Step 1: Connection Management for Serverless
```typescript
// src/snowflake/serverless-connection.ts
import snowflake from 'snowflake-sdk';
let cachedConnection: snowflake.Connection | null = null;
/**
* Reuse connection across Lambda/Cloud Function invocations.
* Serverless containers may be reused — avoid reconnecting every call.
*/
export async function getConnection(): Promise<snowflake.Connection> {
if (cachedConnection?.isUp()) {
return cachedConnection;
}
const conn = snowflake.createConnection({
account: process.env.SNOWFLAKE_ACCOUNT!,
username: process.env.SNOWFLAKE_USER!,
authenticator: 'SNOWFLAKE_JWT',
privateKey: process.env.SNOWFLAKE_PRIVATE_KEY!,
warehouse: process.env.SNOWFLAKE_WAREHOUSE!,
database: process.env.SNOWFLAKE_DATABASE!,
schema: process.env.SNOWFLAKE_SCHEMA || 'PUBLIC',
clientSessionKeepAlive: true, // Keep session alive between invocations
});
await new Promise<void>((resolve, reject) => {
conn.connect((err) => (err ? reject(err) : resolve()));
});
cachedConnection = conn;
return conn;
}
```
### Step 2: Google Cloud Run Deployment
```dockerfile
# Dockerfile
FROM node:20-slim
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY dist/ ./dist/
ENV NODE_ENV=production
CMD ["node", "dist/index.js"]
```
```bash
#!/bin/bash
# deploy-cloud-run.sh
PROJECT_ID="${GCP_PROJECT_ID}"
SERVICE_NAME="snowflake-api"
REGION="us-central1"
# Build and push
gcloud builds submit --tag gcr.io/$PROJECT_ID/$SERVICE_NAME
# Deploy with Snowflake credentials from Secret Manager
gcloud run deploy $SERVICE_NAME \
--image gcr.io/$PROJECT_ID/$SERVICE_NAME \
--region $REGION \
--platform managed \
--set-secrets="SNOWFLAKE_ACCOUNT=snowflake-account:latest,\
SNOWFLAKE_USER=snowflake-user:latest,\
SNOWFLAKE_PRIVATE_KEY=snowflake-private-key:latest" \
--set-env-vars="SNOWFLAKE_WAREHOUSE=PROD_ANALYTICS_WH,\
SNOWFLAKE_DATABASE=PROD_DB,\
SNOWFLAKE_SCHEMA=PUBLIC" \
--min-instances=1 \
--max-instances=10 \
--timeout=300
```
### Step 3: AWS Lambda Deployment
```typescript
// lambda/handler.ts
import { getConnection } from './snowflake/serverless-connection';
export async function handler(event: any) {
try {
const conn = await getConnection();
const rows = await new Promise<any[]>((resolve, reject) => {
conn.execute({
sqlText: 'SELECT COUNT(*) AS total FROM orders WHERE order_date = CURRENT_DATE()',
complete: (err, stmt, rows) => (err ? reject(err) : resolve(rows || [])),
});
});
return { statusCode: 200, body: JSON.stringify(rows[0]) };
} catch (error: any) {
return { statusCode: 500, body: JSON.stringify({ error: error.message }) };
}
}
```
```bash
# Store Snowflake private key in AWS Secrets Manager
aws secretsmanager create-secret \
--name snowflake/prod/private-key \
--secret-string "$(cat rsa_key.p8)"
# Lambda environment variables
aws lambda update-function-configuration \
--function-name snowflake-api \
--environment "Variables={
SNOWFLAKE_ACCOUNT=myorg-myaccount,
SNOWFLAKE_USER=svc_lambda,
SNOWFLAKE_WAREHOUSE=PROD_ANALYTICS_WH,
SNOWFLAKE_DATABASE=PROD_DB
}" \
--timeout 300
```
### Step 4: Docker Compose for Self-Hosted
```yaml
# docker-compose.yml
services:
snowflake-app:
build: .
environment:
- SNOWFLAKE_ACCOUNT=${SNOWFLAKE_ACCOUNT}
- SNOWFLAKE_USER=${SNOWFLAKE_USER}
- SNOWFLAKE_PRIVATE_KEY_PATH=/run/secrets/snowflake_key
- SNOWFLAKE_WAREHOUSE=PROD_ANALYTICS_WH
- SNOWFLAKE_DATABASE=PROD_DB
secrets:
- snowflake_key
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:3000/health"]
interval: 30s
timeout: 10s
retries: 3
secrets:
snowflake_key:
file: ./rsa_key.p8 # Never commit this file
```
### Step 5: Health Check Endpoint
```typescript
// src/health.ts
import { getConnection } from './snowflake/serverless-connection';
export async function healthCheck() {
const start = Date.now();
try {
const conn = await getConnection();
const rows = await new Promise<any[]>((resolve, reject) => {
conn.execute({
sqlText: 'SELECT 1 AS health_check',
complete: (err, _, rows) => (err ? reject(err) : resolve(rows || [])),
});
});
return {
status: 'healthy',
snowflake: { connected: true, latencyMs: Date.now() - start },
};
} catch (error: any) {
return {
status: 'degraded',
snowflake: { connected: false, error: error.message, latencyMs: Date.now() - start },
};
}
}
```
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Cold start timeout | Warehouse resuming | Set `min-instances=1` or pre-warm warehouse |
| Connection refused in container | Wrong network config | Check DNS resolution for `*.snowflakecomputing.com` |
| Secret not found | Missing secret binding | Verify secret manager config |
| `privateKey` format error | Key has headers/newlines | Strip PEM headers or use file path |
| Session expired | Long-running serverless | Set `clientSessionKeepAlive: true` |
## Resources
- [Node.js Connection Options](https://docs.snowflake.com/en/developer-guide/node-js/nodejs-driver-options)
- [Cloud Run Docs](https://cloud.google.com/run/docs)
- [AWS Lambda Docs](https://docs.aws.amazon.com/lambda/latest/dg/)
## Next Steps
For event-driven patterns, see `snowflake-webhooks-events`.Related Skills
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