Cloud Installation

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

AWS Deployment

Amazon ECS (Elastic Container Service)

# 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

# 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

// 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

# 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

# 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

// 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

# 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

# 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

// 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

# 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

# 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

// 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

// 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

// 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

# 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

# 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)

# 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

# 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

Choose the Right Platform

Select cloud platforms based on your specific requirements, budget, and team expertise.

Implement Auto-Scaling

Configure horizontal and vertical pod autoscaling for optimal resource utilization.

Use Managed Services

Leverage managed database services for better reliability and maintenance.

Implement Monitoring

Set up comprehensive monitoring and alerting across all cloud platforms.

Secure Your Deployment

Use proper IAM roles, secrets management, and network security.

Optimize Costs

Monitor resource usage and implement cost optimization strategies.

Plan for Disaster Recovery

Implement backup and disaster recovery procedures across regions.

Use Infrastructure as Code

Define all infrastructure using code for consistency and reproducibility.

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

🚀 Get Started

📦 Installation

🧠 Core Concepts

📖 Advanced Guides

🔧 API Reference

🛠️ Troubleshooting

Cloud Installation

Cloud Installation

AWS Deployment

Amazon ECS (Elastic Container Service)

Amazon RDS Integration

AWS Lambda Integration

Google Cloud Platform

Google Cloud Run

Google Cloud SQL Integration

Google Cloud Functions

Microsoft Azure

Azure Container Instances

Azure Database Integration

Azure Functions

DigitalOcean

DigitalOcean App Platform

DigitalOcean Kubernetes

Cloudflare Workers

Cloudflare Workers Integration

Vercel

Vercel Serverless Functions

Netlify

Netlify Functions

Auto-Scaling Configuration

Horizontal Pod Autoscaler

Vertical Pod Autoscaler

Monitoring and Observability

CloudWatch Integration (AWS)

Google Cloud Monitoring

Best Practices

🚀 Get Started

📦 Installation

🧠 Core Concepts

📖 Advanced Guides

🔧 API Reference

🛠️ Troubleshooting

​Cloud Installation

​AWS Deployment

​Amazon ECS (Elastic Container Service)

​Amazon RDS Integration

​AWS Lambda Integration

​Google Cloud Platform

​Google Cloud Run

​Google Cloud SQL Integration

​Google Cloud Functions

​Microsoft Azure

​Azure Container Instances

​Azure Database Integration

​Azure Functions

​DigitalOcean

​DigitalOcean App Platform

​DigitalOcean Kubernetes

​Cloudflare Workers

​Cloudflare Workers Integration

​Vercel

​Vercel Serverless Functions

​Netlify

​Netlify Functions

​Auto-Scaling Configuration

​Horizontal Pod Autoscaler

​Vertical Pod Autoscaler

​Monitoring and Observability

​CloudWatch Integration (AWS)

​Google Cloud Monitoring

​Best Practices

Cloud Installation

AWS Deployment

Amazon ECS (Elastic Container Service)

Amazon RDS Integration

AWS Lambda Integration

Google Cloud Platform

Google Cloud Run

Google Cloud SQL Integration

Google Cloud Functions

Microsoft Azure

Azure Container Instances

Azure Database Integration

Azure Functions

DigitalOcean

DigitalOcean App Platform

DigitalOcean Kubernetes

Cloudflare Workers

Cloudflare Workers Integration

Vercel

Vercel Serverless Functions

Netlify

Netlify Functions

Auto-Scaling Configuration

Horizontal Pod Autoscaler

Vertical Pod Autoscaler

Monitoring and Observability

CloudWatch Integration (AWS)

Google Cloud Monitoring

Best Practices