home / skills / jeremylongshore / claude-code-plugins-plus-skills / deepgram-deploy-integration
/plugins/saas-packs/deepgram-pack/skills/deepgram-deploy-integration
This skill helps you deploy Deepgram integrations across Docker, Kubernetes, serverless and VMs, ensuring production readiness and reliable infra.
npx playbooks add skill jeremylongshore/claude-code-plugins-plus-skills --skill deepgram-deploy-integrationReview the files below or copy the command above to add this skill to your agents.
---
name: deepgram-deploy-integration
description: |
Deploy Deepgram integrations to production environments.
Use when deploying to cloud platforms, configuring production infrastructure,
or setting up Deepgram in containerized environments.
Trigger with phrases like "deploy deepgram", "deepgram docker",
"deepgram kubernetes", "deepgram production deploy", "deepgram cloud".
allowed-tools: Read, Write, Edit, Bash(gh:*), Bash(curl:*)
version: 1.0.0
license: MIT
author: Jeremy Longshore <[email protected]>
---
# Deepgram Deploy Integration
## Overview
Deploy Deepgram integrations to various cloud platforms and container environments.
## Prerequisites
- Production API key ready
- Infrastructure access configured
- Secret management in place
- Monitoring configured
## Deployment Targets
### 1. Docker Container
Containerized deployment for portability.
### 2. Kubernetes
Orchestrated deployment for scale.
### 3. Serverless
AWS Lambda, Google Cloud Functions, Vercel.
### 4. Traditional VMs
Direct deployment to virtual machines.
## Examples
### Dockerfile
```dockerfile
# Dockerfile
FROM node:20-slim AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
RUN npm run build
# Production image
FROM node:20-slim AS runner
WORKDIR /app
ENV NODE_ENV=production
# Create non-root user
RUN addgroup --system --gid 1001 nodejs
RUN adduser --system --uid 1001 deepgram
USER deepgram
COPY --from=builder --chown=deepgram:nodejs /app/dist ./dist
COPY --from=builder --chown=deepgram:nodejs /app/node_modules ./node_modules
COPY --from=builder --chown=deepgram:nodejs /app/package.json ./
EXPOSE 3000
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
CMD curl -f http://localhost:3000/health || exit 1
CMD ["node", "dist/index.js"]
```
### Docker Compose
```yaml
# docker-compose.yml
version: '3.8'
services:
deepgram-service:
build: .
ports:
- "3000:3000"
environment:
- NODE_ENV=production
- DEEPGRAM_API_KEY=${DEEPGRAM_API_KEY}
secrets:
- deepgram_key
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:3000/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s
deploy:
replicas: 3
resources:
limits:
cpus: '1'
memory: 512M
reservations:
cpus: '0.5'
memory: 256M
redis:
image: redis:7-alpine
volumes:
- redis-data:/data
secrets:
deepgram_key:
file: ./secrets/deepgram-api-key.txt
volumes:
redis-data:
```
### Kubernetes Deployment
```yaml
# k8s/deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: deepgram-service
labels:
app: deepgram-service
spec:
replicas: 3
selector:
matchLabels:
app: deepgram-service
template:
metadata:
labels:
app: deepgram-service
spec:
serviceAccountName: deepgram-service
containers:
- name: deepgram-service
image: your-registry/deepgram-service:latest
ports:
- containerPort: 3000
env:
- name: NODE_ENV
value: "production"
- name: DEEPGRAM_API_KEY
valueFrom:
secretKeyRef:
name: deepgram-secrets
key: api-key
resources:
requests:
memory: "256Mi"
cpu: "250m"
limits:
memory: "512Mi"
cpu: "500m"
livenessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /ready
port: 3000
initialDelaySeconds: 5
periodSeconds: 5
securityContext:
runAsNonRoot: true
runAsUser: 1001
readOnlyRootFilesystem: true
---
apiVersion: v1
kind: Service
metadata:
name: deepgram-service
spec:
selector:
app: deepgram-service
ports:
- port: 80
targetPort: 3000
type: ClusterIP
---
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: deepgram-service
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: deepgram-service
minReplicas: 3
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
```
### Kubernetes Secret
```yaml
# k8s/secret.yaml (use sealed-secrets or external-secrets in production)
apiVersion: v1
kind: Secret
metadata:
name: deepgram-secrets
type: Opaque
stringData:
api-key: ${DEEPGRAM_API_KEY}
```
### AWS Lambda (Serverless)
```yaml
# serverless.yml
service: deepgram-transcription
provider:
name: aws
runtime: nodejs20.x
stage: ${opt:stage, 'dev'}
region: us-east-1
memorySize: 512
timeout: 30
environment:
NODE_ENV: production
iam:
role:
statements:
- Effect: Allow
Action:
- secretsmanager:GetSecretValue
Resource:
- arn:aws:secretsmanager:${self:provider.region}:*:secret:deepgram/*
functions:
transcribe:
handler: dist/handlers/transcribe.handler
events:
- http:
path: /transcribe
method: post
cors: true
environment:
DEEPGRAM_SECRET_ARN: ${ssm:/deepgram/secret-arn}
transcribeAsync:
handler: dist/handlers/transcribe-async.handler
events:
- sqs:
arn: !GetAtt TranscriptionQueue.Arn
timeout: 300
reservedConcurrency: 10
resources:
Resources:
TranscriptionQueue:
Type: AWS::SQS::Queue
Properties:
QueueName: ${self:service}-transcription-queue
VisibilityTimeout: 360
```
### Lambda Handler
```typescript
// src/handlers/transcribe.ts
import { APIGatewayProxyHandler } from 'aws-lambda';
import { SecretsManager } from '@aws-sdk/client-secrets-manager';
import { createClient } from '@deepgram/sdk';
const secretsManager = new SecretsManager({});
let deepgramKey: string | null = null;
async function getApiKey(): Promise<string> {
if (deepgramKey) return deepgramKey;
const { SecretString } = await secretsManager.getSecretValue({
SecretId: process.env.DEEPGRAM_SECRET_ARN!,
});
deepgramKey = JSON.parse(SecretString!).apiKey;
return deepgramKey!;
}
export const handler: APIGatewayProxyHandler = async (event) => {
try {
const body = JSON.parse(event.body || '{}');
const { audioUrl, options = {} } = body;
if (!audioUrl) {
return {
statusCode: 400,
body: JSON.stringify({ error: 'audioUrl required' }),
};
}
const apiKey = await getApiKey();
const client = createClient(apiKey);
const { result, error } = await client.listen.prerecorded.transcribeUrl(
{ url: audioUrl },
{ model: 'nova-2', smart_format: true, ...options }
);
if (error) {
return {
statusCode: 500,
body: JSON.stringify({ error: error.message }),
};
}
return {
statusCode: 200,
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
transcript: result.results.channels[0].alternatives[0].transcript,
metadata: result.metadata,
}),
};
} catch (err) {
return {
statusCode: 500,
body: JSON.stringify({ error: 'Internal server error' }),
};
}
};
```
### Google Cloud Run
```yaml
# cloudbuild.yaml
steps:
- name: 'gcr.io/cloud-builders/docker'
args: ['build', '-t', 'gcr.io/$PROJECT_ID/deepgram-service:$COMMIT_SHA', '.']
- name: 'gcr.io/cloud-builders/docker'
args: ['push', 'gcr.io/$PROJECT_ID/deepgram-service:$COMMIT_SHA']
- name: 'gcr.io/google.com/cloudsdktool/cloud-sdk'
entrypoint: gcloud
args:
- 'run'
- 'deploy'
- 'deepgram-service'
- '--image=gcr.io/$PROJECT_ID/deepgram-service:$COMMIT_SHA'
- '--region=us-central1'
- '--platform=managed'
- '--allow-unauthenticated'
- '--set-secrets=DEEPGRAM_API_KEY=deepgram-api-key:latest'
- '--memory=512Mi'
- '--cpu=1'
- '--min-instances=1'
- '--max-instances=10'
images:
- 'gcr.io/$PROJECT_ID/deepgram-service:$COMMIT_SHA'
```
### Vercel Deployment
```typescript
// api/transcribe.ts (Vercel Edge Function)
import { createClient } from '@deepgram/sdk';
export const config = {
runtime: 'edge',
};
export default async function handler(request: Request) {
if (request.method !== 'POST') {
return new Response('Method not allowed', { status: 405 });
}
try {
const { audioUrl } = await request.json();
const client = createClient(process.env.DEEPGRAM_API_KEY!);
const { result, error } = await client.listen.prerecorded.transcribeUrl(
{ url: audioUrl },
{ model: 'nova-2', smart_format: true }
);
if (error) {
return new Response(JSON.stringify({ error: error.message }), {
status: 500,
headers: { 'Content-Type': 'application/json' },
});
}
return new Response(
JSON.stringify({
transcript: result.results.channels[0].alternatives[0].transcript,
}),
{ headers: { 'Content-Type': 'application/json' } }
);
} catch (err) {
return new Response(JSON.stringify({ error: 'Internal error' }), {
status: 500,
headers: { 'Content-Type': 'application/json' },
});
}
}
```
### Deploy Script
```bash
#!/bin/bash
# scripts/deploy.sh
set -e
ENVIRONMENT=$1
if [ -z "$ENVIRONMENT" ]; then
echo "Usage: ./deploy.sh <staging|production>"
exit 1
fi
echo "Deploying to $ENVIRONMENT..."
# Build
npm run build
# Run tests
npm test
# Deploy based on environment
case $ENVIRONMENT in
staging)
kubectl apply -f k8s/staging/
kubectl rollout status deployment/deepgram-service -n staging
;;
production)
kubectl apply -f k8s/production/
kubectl rollout status deployment/deepgram-service -n production
;;
*)
echo "Unknown environment: $ENVIRONMENT"
exit 1
;;
esac
# Run smoke tests
npm run smoke-test
echo "Deployment complete!"
```
## Resources
- [Docker Best Practices](https://docs.docker.com/develop/dev-best-practices/)
- [Kubernetes Deployments](https://kubernetes.io/docs/concepts/workloads/controllers/deployment/)
- [AWS Lambda with Node.js](https://docs.aws.amazon.com/lambda/latest/dg/lambda-nodejs.html)
- [Google Cloud Run](https://cloud.google.com/run/docs)
## Next Steps
Proceed to `deepgram-webhooks-events` for webhook configuration.
This skill deploys Deepgram integrations to production environments across container, orchestration, serverless, and VM targets. It packages, configures secrets, and applies production-ready deployment manifests to Docker, Kubernetes, Cloud Run, Vercel, and AWS Lambda. The goal is a repeatable, secure, and observable production rollout.
The skill builds and packages the application, injects production API keys via secrets, and applies platform-specific artifacts (Docker images, k8s manifests, serverless configs). It configures health, readiness, and autoscaling probes, sets resource requests/limits, and wires monitoring and secret access. Deploy scripts and CI/CD steps run tests, rollout deployments, and perform smoke checks to validate production readiness.
How should I store the Deepgram API key in production?
Use a secrets manager (Cloud Secrets Manager, AWS Secrets Manager, Kubernetes sealed-secrets or ExternalSecrets). Mount or inject the secret at runtime; do not bake it into images.
What probes and resources are recommended for Kubernetes?
Configure readiness and liveness HTTP probes on /ready and /health, set CPU/memory requests and limits (example: requests 250m/256Mi, limits 500m/512Mi), and use an HPA targeting ~70% CPU utilization.