> ## Documentation Index
> Fetch the complete documentation index at: https://docs.db.matsushiba.co/llms.txt
> Use this file to discover all available pages before exploring further.

# Cloud Installation

> Deploy MatsushibaDB on major cloud platforms including AWS, Google Cloud, Azure, and DigitalOcean with managed services and auto-scaling.

# Cloud Installation

Deploy MatsushibaDB on major cloud platforms with managed services, auto-scaling, and enterprise-grade infrastructure.

## AWS Deployment

### Amazon ECS (Elastic Container Service)

```yaml theme={null}
# aws/ecs-service.yaml
apiVersion: v1
kind: Service
metadata:
  name: matsushiba-ecs-service
spec:
  type: LoadBalancer
  ports:
  - port: 80
    targetPort: 8000
  selector:
    app: matsushiba-db
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: matsushiba-ecs-deployment
spec:
  replicas: 3
  selector:
    matchLabels:
      app: matsushiba-db
  template:
    metadata:
      labels:
        app: matsushiba-db
    spec:
      containers:
      - name: matsushiba-db
        image: matsushibadb/matsushibadb:latest
        ports:
        - containerPort: 8000
        env:
        - name: NODE_ENV
          value: "production"
        - name: DATABASE_PATH
          value: "/data/production.db"
        - name: AWS_REGION
          value: "us-west-2"
        resources:
          requests:
            memory: "512Mi"
            cpu: "500m"
          limits:
            memory: "1Gi"
            cpu: "1000m"
        volumeMounts:
        - name: efs-volume
          mountPath: /data
      volumes:
      - name: efs-volume
        persistentVolumeClaim:
          claimName: efs-claim
```

### Amazon RDS Integration

```yaml theme={null}
# aws/rds-integration.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: matsushiba-rds-config
data:
  RDS_ENDPOINT: "matsushiba-db.cluster-xyz.us-west-2.rds.amazonaws.com"
  RDS_PORT: "5432"
  RDS_DATABASE: "matsushiba_production"
  RDS_USERNAME: "matsushiba_user"
---
apiVersion: v1
kind: Secret
metadata:
  name: matsushiba-rds-secret
type: Opaque
data:
  RDS_PASSWORD: <base64-encoded-password>
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: matsushiba-rds-app
spec:
  replicas: 3
  selector:
    matchLabels:
      app: matsushiba-rds-app
  template:
    metadata:
      labels:
        app: matsushiba-rds-app
    spec:
      containers:
      - name: matsushiba-app
        image: matsushibadb/matsushibadb:latest
        env:
        - name: NODE_ENV
          value: "production"
        - name: DATABASE_TYPE
          value: "postgresql"
        - name: DATABASE_HOST
          valueFrom:
            configMapKeyRef:
              name: matsushiba-rds-config
              key: RDS_ENDPOINT
        - name: DATABASE_PORT
          valueFrom:
            configMapKeyRef:
              name: matsushiba-rds-config
              key: RDS_PORT
        - name: DATABASE_NAME
          valueFrom:
            configMapKeyRef:
              name: matsushiba-rds-config
              key: RDS_DATABASE
        - name: DATABASE_USER
          valueFrom:
            configMapKeyRef:
              name: matsushiba-rds-config
              key: RDS_USERNAME
        - name: DATABASE_PASSWORD
          valueFrom:
            secretKeyRef:
              name: matsushiba-rds-secret
              key: RDS_PASSWORD
```

### AWS Lambda Integration

```javascript theme={null}
// aws/lambda-handler.js
const MatsushibaDB = require('matsushibadb');

exports.handler = async (event, context) => {
  const db = new MatsushibaDB('/tmp/lambda-db.db');
  
  try {
    // Initialize database
    await db.run(`
      CREATE TABLE IF NOT EXISTS lambda_data (
        id INTEGER PRIMARY KEY,
        data TEXT,
        timestamp DATETIME DEFAULT CURRENT_TIMESTAMP
      )
    `);
    
    // Process event
    const { action, data } = JSON.parse(event.body);
    
    switch (action) {
      case 'create':
        const result = await db.run(
          'INSERT INTO lambda_data (data) VALUES (?)',
          [JSON.stringify(data)]
        );
        return {
          statusCode: 200,
          body: JSON.stringify({
            id: result.lastInsertRowid,
            message: 'Data created successfully'
          })
        };
      
      case 'read':
        const records = await db.all('SELECT * FROM lambda_data ORDER BY timestamp DESC LIMIT 10');
        return {
          statusCode: 200,
          body: JSON.stringify(records)
        };
      
      default:
        return {
          statusCode: 400,
          body: JSON.stringify({ error: 'Invalid action' })
        };
    }
  } catch (error) {
    return {
      statusCode: 500,
      body: JSON.stringify({ error: error.message })
    };
  } finally {
    await db.close();
  }
};
```

## Google Cloud Platform

### Google Cloud Run

```yaml theme={null}
# gcp/cloud-run.yaml
apiVersion: serving.knative.dev/v1
kind: Service
metadata:
  name: matsushiba-cloud-run
  annotations:
    run.googleapis.com/ingress: all
    run.googleapis.com/execution-environment: gen2
spec:
  template:
    metadata:
      annotations:
        autoscaling.knative.dev/maxScale: "100"
        autoscaling.knative.dev/minScale: "1"
        run.googleapis.com/cpu-throttling: "false"
        run.googleapis.com/execution-environment: gen2
    spec:
      containerConcurrency: 1000
      timeoutSeconds: 300
      containers:
      - image: gcr.io/PROJECT_ID/matsushibadb:latest
        ports:
        - containerPort: 8000
        env:
        - name: NODE_ENV
          value: "production"
        - name: DATABASE_PATH
          value: "/tmp/cloud-run.db"
        - name: GOOGLE_CLOUD_PROJECT
          value: "PROJECT_ID"
        resources:
          limits:
            cpu: "2"
            memory: "2Gi"
          requests:
            cpu: "1"
            memory: "1Gi"
        livenessProbe:
          httpGet:
            path: /health
            port: 8000
          initialDelaySeconds: 30
          periodSeconds: 10
        readinessProbe:
          httpGet:
            path: /health
            port: 8000
          initialDelaySeconds: 5
          periodSeconds: 5
```

### Google Cloud SQL Integration

```yaml theme={null}
# gcp/cloud-sql.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: matsushiba-cloud-sql-config
data:
  CLOUD_SQL_CONNECTION_NAME: "PROJECT_ID:REGION:INSTANCE_NAME"
  DATABASE_NAME: "matsushiba_production"
  DATABASE_USER: "matsushiba_user"
---
apiVersion: v1
kind: Secret
metadata:
  name: matsushiba-cloud-sql-secret
type: Opaque
data:
  DATABASE_PASSWORD: <base64-encoded-password>
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: matsushiba-cloud-sql-app
spec:
  replicas: 3
  selector:
    matchLabels:
      app: matsushiba-cloud-sql-app
  template:
    metadata:
      labels:
        app: matsushiba-cloud-sql-app
    spec:
      containers:
      - name: matsushiba-app
        image: gcr.io/PROJECT_ID/matsushibadb:latest
        env:
        - name: NODE_ENV
          value: "production"
        - name: DATABASE_TYPE
          value: "cloud-sql"
        - name: CLOUD_SQL_CONNECTION_NAME
          valueFrom:
            configMapKeyRef:
              name: matsushiba-cloud-sql-config
              key: CLOUD_SQL_CONNECTION_NAME
        - name: DATABASE_NAME
          valueFrom:
            configMapKeyRef:
              name: matsushiba-cloud-sql-config
              key: DATABASE_NAME
        - name: DATABASE_USER
          valueFrom:
            configMapKeyRef:
              name: matsushiba-cloud-sql-config
              key: DATABASE_USER
        - name: DATABASE_PASSWORD
          valueFrom:
            secretKeyRef:
              name: matsushiba-cloud-sql-secret
              key: DATABASE_PASSWORD
        resources:
          requests:
            memory: "512Mi"
            cpu: "500m"
          limits:
            memory: "1Gi"
            cpu: "1000m"
```

### Google Cloud Functions

```javascript theme={null}
// gcp/cloud-function.js
const MatsushibaDB = require('matsushibadb');

exports.matsushibaFunction = async (req, res) => {
  const db = new MatsushibaDB('/tmp/function-db.db');
  
  try {
    // Initialize database
    await db.run(`
      CREATE TABLE IF NOT EXISTS function_data (
        id INTEGER PRIMARY KEY,
        data TEXT,
        timestamp DATETIME DEFAULT CURRENT_TIMESTAMP
      )
    `);
    
    // Process request
    const { method, path, body } = req;
    
    switch (method) {
      case 'GET':
        if (path === '/data') {
          const records = await db.all('SELECT * FROM function_data ORDER BY timestamp DESC LIMIT 10');
          res.status(200).json(records);
        } else {
          res.status(404).json({ error: 'Not found' });
        }
        break;
      
      case 'POST':
        if (path === '/data') {
          const result = await db.run(
            'INSERT INTO function_data (data) VALUES (?)',
            [JSON.stringify(body)]
          );
          res.status(201).json({
            id: result.lastInsertRowid,
            message: 'Data created successfully'
          });
        } else {
          res.status(404).json({ error: 'Not found' });
        }
        break;
      
      default:
        res.status(405).json({ error: 'Method not allowed' });
    }
  } catch (error) {
    res.status(500).json({ error: error.message });
  } finally {
    await db.close();
  }
};
```

## Microsoft Azure

### Azure Container Instances

```yaml theme={null}
# azure/container-instance.yaml
apiVersion: 2019-12-01
location: eastus
name: matsushiba-aci
properties:
  containers:
  - name: matsushiba-app
    properties:
      image: your-registry.azurecr.io/matsushibadb:latest
      ports:
      - port: 8000
        protocol: TCP
      environmentVariables:
      - name: NODE_ENV
        value: production
      - name: DATABASE_PATH
        value: /data/production.db
      - name: AZURE_REGION
        value: eastus
      resources:
        requests:
          cpu: 1
          memoryInGb: 1
        limits:
          cpu: 2
          memoryInGb: 2
      livenessProbe:
        httpGet:
          path: /health
          port: 8000
        initialDelaySeconds: 30
        periodSeconds: 10
      readinessProbe:
        httpGet:
          path: /health
          port: 8000
        initialDelaySeconds: 5
        periodSeconds: 5
  osType: Linux
  restartPolicy: Always
  ipAddress:
    type: Public
    ports:
    - protocol: TCP
      port: 80
    - protocol: TCP
      port: 443
  volumes:
  - name: data
    azureFile:
      shareName: matsushiba-data
      storageAccountName: yourstorageaccount
      storageAccountKey: your-storage-key
```

### Azure Database Integration

```yaml theme={null}
# azure/database-integration.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: matsushiba-azure-db-config
data:
  AZURE_DB_SERVER: "matsushiba-server.database.windows.net"
  AZURE_DB_PORT: "1433"
  AZURE_DB_NAME: "matsushiba_production"
  AZURE_DB_USER: "matsushiba_user"
---
apiVersion: v1
kind: Secret
metadata:
  name: matsushiba-azure-db-secret
type: Opaque
data:
  AZURE_DB_PASSWORD: <base64-encoded-password>
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: matsushiba-azure-db-app
spec:
  replicas: 3
  selector:
    matchLabels:
      app: matsushiba-azure-db-app
  template:
    metadata:
      labels:
        app: matsushiba-azure-db-app
    spec:
      containers:
      - name: matsushiba-app
        image: your-registry.azurecr.io/matsushibadb:latest
        env:
        - name: NODE_ENV
          value: "production"
        - name: DATABASE_TYPE
          value: "azure-sql"
        - name: DATABASE_HOST
          valueFrom:
            configMapKeyRef:
              name: matsushiba-azure-db-config
              key: AZURE_DB_SERVER
        - name: DATABASE_PORT
          valueFrom:
            configMapKeyRef:
              name: matsushiba-azure-db-config
              key: AZURE_DB_PORT
        - name: DATABASE_NAME
          valueFrom:
            configMapKeyRef:
              name: matsushiba-azure-db-config
              key: AZURE_DB_NAME
        - name: DATABASE_USER
          valueFrom:
            configMapKeyRef:
              name: matsushiba-azure-db-config
              key: AZURE_DB_USER
        - name: DATABASE_PASSWORD
          valueFrom:
            secretKeyRef:
              name: matsushiba-azure-db-secret
              key: AZURE_DB_PASSWORD
        resources:
          requests:
            memory: "512Mi"
            cpu: "500m"
          limits:
            memory: "1Gi"
            cpu: "1000m"
```

### Azure Functions

```javascript theme={null}
// azure/azure-function.js
const MatsushibaDB = require('matsushibadb');

module.exports = async function (context, req) {
  const db = new MatsushibaDB('/tmp/azure-function-db.db');
  
  try {
    // Initialize database
    await db.run(`
      CREATE TABLE IF NOT EXISTS azure_data (
        id INTEGER PRIMARY KEY,
        data TEXT,
        timestamp DATETIME DEFAULT CURRENT_TIMESTAMP
      )
    `);
    
    // Process request
    const { method, url } = req;
    
    switch (method) {
      case 'GET':
        if (url.includes('/data')) {
          const records = await db.all('SELECT * FROM azure_data ORDER BY timestamp DESC LIMIT 10');
          context.res = {
            status: 200,
            body: records
          };
        } else {
          context.res = {
            status: 404,
            body: { error: 'Not found' }
          };
        }
        break;
      
      case 'POST':
        if (url.includes('/data')) {
          const result = await db.run(
            'INSERT INTO azure_data (data) VALUES (?)',
            [JSON.stringify(req.body)]
          );
          context.res = {
            status: 201,
            body: {
              id: result.lastInsertRowid,
              message: 'Data created successfully'
            }
          };
        } else {
          context.res = {
            status: 404,
            body: { error: 'Not found' }
          };
        }
        break;
      
      default:
        context.res = {
          status: 405,
          body: { error: 'Method not allowed' }
        };
    }
  } catch (error) {
    context.res = {
      status: 500,
      body: { error: error.message }
    };
  } finally {
    await db.close();
  }
};
```

## DigitalOcean

### DigitalOcean App Platform

```yaml theme={null}
# digitalocean/app-platform.yaml
name: matsushiba-app
services:
- name: matsushiba-db
  source_dir: /
  github:
    repo: your-username/matsushiba-app
    branch: main
  run_command: npm start
  environment_slug: node-js
  instance_count: 3
  instance_size_slug: basic-xxs
  http_port: 8000
  envs:
  - key: NODE_ENV
    value: production
  - key: DATABASE_PATH
    value: /data/production.db
  - key: PORT
    value: "8000"
  health_check:
    http_path: /health
  routes:
  - path: /
  alerts:
  - rule: CPU_UTILIZATION
    disabled: false
    threshold: 80
  - rule: MEM_UTILIZATION
    disabled: false
    threshold: 80
databases:
- name: matsushiba-db
  engine: POSTGRES
  version: "13"
  size: db-s-1vcpu-1gb
  num_nodes: 1
```

### DigitalOcean Kubernetes

```yaml theme={null}
# digitalocean/kubernetes.yaml
apiVersion: v1
kind: Namespace
metadata:
  name: matsushiba
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: matsushiba-app
  namespace: matsushiba
spec:
  replicas: 3
  selector:
    matchLabels:
      app: matsushiba-app
  template:
    metadata:
      labels:
        app: matsushiba-app
    spec:
      containers:
      - name: matsushiba-app
        image: matsushibadb/matsushibadb:latest
        ports:
        - containerPort: 8000
        env:
        - name: NODE_ENV
          value: "production"
        - name: DATABASE_PATH
          value: "/data/production.db"
        resources:
          requests:
            memory: "256Mi"
            cpu: "250m"
          limits:
            memory: "512Mi"
            cpu: "500m"
        volumeMounts:
        - name: data-volume
          mountPath: /data
      volumes:
      - name: data-volume
        persistentVolumeClaim:
          claimName: matsushiba-pvc
---
apiVersion: v1
kind: Service
metadata:
  name: matsushiba-service
  namespace: matsushiba
spec:
  selector:
    app: matsushiba-app
  ports:
  - port: 80
    targetPort: 8000
  type: LoadBalancer
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: matsushiba-pvc
  namespace: matsushiba
spec:
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 10Gi
  storageClassName: do-block-storage
```

## Cloudflare Workers

### Cloudflare Workers Integration

```javascript theme={null}
// cloudflare/worker.js
import { MatsushibaDB } from 'matsushibadb';

export default {
  async fetch(request, env, ctx) {
    const db = new MatsushibaDB(':memory:'); // In-memory for Workers
    
    try {
      // Initialize database
      await db.run(`
        CREATE TABLE IF NOT EXISTS worker_data (
          id INTEGER PRIMARY KEY,
          data TEXT,
          timestamp DATETIME DEFAULT CURRENT_TIMESTAMP
        )
      `);
      
      // Process request
      const { method, url } = request;
      const urlObj = new URL(url);
      
      switch (method) {
        case 'GET':
          if (urlObj.pathname === '/data') {
            const records = await db.all('SELECT * FROM worker_data ORDER BY timestamp DESC LIMIT 10');
            return new Response(JSON.stringify(records), {
              headers: { 'Content-Type': 'application/json' }
            });
          }
          break;
        
        case 'POST':
          if (urlObj.pathname === '/data') {
            const body = await request.json();
            const result = await db.run(
              'INSERT INTO worker_data (data) VALUES (?)',
              [JSON.stringify(body)]
            );
            return new Response(JSON.stringify({
              id: result.lastInsertRowid,
              message: 'Data created successfully'
            }), {
              status: 201,
              headers: { 'Content-Type': 'application/json' }
            });
          }
          break;
      }
      
      return new Response('Not found', { status: 404 });
    } catch (error) {
      return new Response(JSON.stringify({ error: error.message }), {
        status: 500,
        headers: { 'Content-Type': 'application/json' }
      });
    } finally {
      await db.close();
    }
  }
};
```

## Vercel

### Vercel Serverless Functions

```javascript theme={null}
// vercel/api/matsushiba.js
const MatsushibaDB = require('matsushibadb');

export default async function handler(req, res) {
  const db = new MatsushibaDB('/tmp/vercel-db.db');
  
  try {
    // Initialize database
    await db.run(`
      CREATE TABLE IF NOT EXISTS vercel_data (
        id INTEGER PRIMARY KEY,
        data TEXT,
        timestamp DATETIME DEFAULT CURRENT_TIMESTAMP
      )
    `);
    
    // Process request
    const { method, query, body } = req;
    
    switch (method) {
      case 'GET':
        if (query.action === 'list') {
          const records = await db.all('SELECT * FROM vercel_data ORDER BY timestamp DESC LIMIT 10');
          res.status(200).json(records);
        } else {
          res.status(404).json({ error: 'Not found' });
        }
        break;
      
      case 'POST':
        if (query.action === 'create') {
          const result = await db.run(
            'INSERT INTO vercel_data (data) VALUES (?)',
            [JSON.stringify(body)]
          );
          res.status(201).json({
            id: result.lastInsertRowid,
            message: 'Data created successfully'
          });
        } else {
          res.status(404).json({ error: 'Not found' });
        }
        break;
      
      default:
        res.status(405).json({ error: 'Method not allowed' });
    }
  } catch (error) {
    res.status(500).json({ error: error.message });
  } finally {
    await db.close();
  }
}
```

## Netlify

### Netlify Functions

```javascript theme={null}
// netlify/functions/matsushiba.js
const MatsushibaDB = require('matsushibadb');

exports.handler = async (event, context) => {
  const db = new MatsushibaDB('/tmp/netlify-db.db');
  
  try {
    // Initialize database
    await db.run(`
      CREATE TABLE IF NOT EXISTS netlify_data (
        id INTEGER PRIMARY KEY,
        data TEXT,
        timestamp DATETIME DEFAULT CURRENT_TIMESTAMP
      )
    `);
    
    // Process request
    const { httpMethod, path, body } = event;
    
    switch (httpMethod) {
      case 'GET':
        if (path === '/data') {
          const records = await db.all('SELECT * FROM netlify_data ORDER BY timestamp DESC LIMIT 10');
          return {
            statusCode: 200,
            body: JSON.stringify(records)
          };
        }
        break;
      
      case 'POST':
        if (path === '/data') {
          const result = await db.run(
            'INSERT INTO netlify_data (data) VALUES (?)',
            [JSON.stringify(JSON.parse(body))]
          );
          return {
            statusCode: 201,
            body: JSON.stringify({
              id: result.lastInsertRowid,
              message: 'Data created successfully'
            })
          };
        }
        break;
    }
    
    return {
      statusCode: 404,
      body: JSON.stringify({ error: 'Not found' })
    };
  } catch (error) {
    return {
      statusCode: 500,
      body: JSON.stringify({ error: error.message })
    };
  } finally {
    await db.close();
  }
};
```

## Auto-Scaling Configuration

### Horizontal Pod Autoscaler

```yaml theme={null}
# autoscaling/hpa.yaml
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: matsushiba-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: matsushiba-app
  minReplicas: 3
  maxReplicas: 50
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 70
  - type: Resource
    resource:
      name: memory
      target:
        type: Utilization
        averageUtilization: 80
  - type: Pods
    pods:
      metric:
        name: http_requests_per_second
      target:
        type: AverageValue
        averageValue: "100"
  behavior:
    scaleDown:
      stabilizationWindowSeconds: 300
      policies:
      - type: Percent
        value: 10
        periodSeconds: 60
    scaleUp:
      stabilizationWindowSeconds: 60
      policies:
      - type: Percent
        value: 50
        periodSeconds: 60
      - type: Pods
        value: 5
        periodSeconds: 60
```

### Vertical Pod Autoscaler

```yaml theme={null}
# autoscaling/vpa.yaml
apiVersion: autoscaling.k8s.io/v1
kind: VerticalPodAutoscaler
metadata:
  name: matsushiba-vpa
spec:
  targetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: matsushiba-app
  updatePolicy:
    updateMode: "Auto"
  resourcePolicy:
    containerPolicies:
    - containerName: matsushiba-app
      minAllowed:
        cpu: 100m
        memory: 128Mi
      maxAllowed:
        cpu: 2
        memory: 4Gi
      controlledResources: ["cpu", "memory"]
```

## Monitoring and Observability

### CloudWatch Integration (AWS)

```yaml theme={null}
# monitoring/cloudwatch.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: cloudwatch-config
data:
  cloudwatch-config.yaml: |
    region: us-west-2
    log_group_name: /aws/eks/matsushiba
    log_stream_name: matsushiba-app
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: cloudwatch-agent
spec:
  selector:
    matchLabels:
      name: cloudwatch-agent
  template:
    metadata:
      labels:
        name: cloudwatch-agent
    spec:
      containers:
      - name: cloudwatch-agent
        image: amazon/cloudwatch-agent:latest
        volumeMounts:
        - name: cloudwatch-config
          mountPath: /opt/aws/amazon-cloudwatch-agent/etc
        - name: docker-sock
          mountPath: /var/run/docker.sock
        - name: proc-stat
          mountPath: /proc/stat
        - name: sys
          mountPath: /sys
      volumes:
      - name: cloudwatch-config
        configMap:
          name: cloudwatch-config
      - name: docker-sock
        hostPath:
          path: /var/run/docker.sock
      - name: proc-stat
        hostPath:
          path: /proc/stat
      - name: sys
        hostPath:
          path: /sys
```

### Google Cloud Monitoring

```yaml theme={null}
# monitoring/gcp-monitoring.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: gcp-monitoring-config
data:
  monitoring-config.yaml: |
    project_id: PROJECT_ID
    cluster_name: matsushiba-cluster
    zone: us-central1-a
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: gcp-monitoring-agent
spec:
  selector:
    matchLabels:
      name: gcp-monitoring-agent
  template:
    metadata:
      labels:
        name: gcp-monitoring-agent
    spec:
      containers:
      - name: gcp-monitoring-agent
        image: gcr.io/google-containers/monitoring-agent:latest
        volumeMounts:
        - name: gcp-monitoring-config
          mountPath: /etc/gcp-monitoring
        - name: docker-sock
          mountPath: /var/run/docker.sock
      volumes:
      - name: gcp-monitoring-config
        configMap:
          name: gcp-monitoring-config
      - name: docker-sock
        hostPath:
          path: /var/run/docker.sock
```

## Best Practices

<Steps>
  <Step title="Choose the Right Platform">
    Select cloud platforms based on your specific requirements, budget, and team expertise.
  </Step>

  <Step title="Implement Auto-Scaling">
    Configure horizontal and vertical pod autoscaling for optimal resource utilization.
  </Step>

  <Step title="Use Managed Services">
    Leverage managed database services for better reliability and maintenance.
  </Step>

  <Step title="Implement Monitoring">
    Set up comprehensive monitoring and alerting across all cloud platforms.
  </Step>

  <Step title="Secure Your Deployment">
    Use proper IAM roles, secrets management, and network security.
  </Step>

  <Step title="Optimize Costs">
    Monitor resource usage and implement cost optimization strategies.
  </Step>

  <Step title="Plan for Disaster Recovery">
    Implement backup and disaster recovery procedures across regions.
  </Step>

  <Step title="Use Infrastructure as Code">
    Define all infrastructure using code for consistency and reproducibility.
  </Step>
</Steps>

<Note>
  Cloud deployment provides excellent scalability and reliability. Always implement proper monitoring, security, and cost optimization strategies for production deployments.
</Note>
