Cloud Provider Deployment

Overview

Deploy UltraBalancer on major cloud platforms with platform-specific optimizations, auto-scaling, and managed services integration.

AWS

EC2, ECS, EKS, and Lambda

Google Cloud

Compute Engine, GKE, Cloud Run

Azure

VMs, AKS, Container Instances

DigitalOcean

Droplets and Kubernetes

AWS Deployment

EC2 Instance

User Data Script
Terraform
CloudFormation

user-data.sh

#!/bin/bash
# AWS EC2 User Data Script

# Update system
yum update -y

# Install UltraBalancer
curl -LO https://github.com/bas3line/ultrabalancer/releases/latest/download/ultrabalancer-linux-x86_64.tar.gz
tar -xzf ultrabalancer-linux-x86_64.tar.gz
mv ultrabalancer /usr/local/bin/
chmod +x /usr/local/bin/ultrabalancer

# Create configuration
mkdir -p /etc/ultrabalancer
cat > /etc/ultrabalancer/config.yaml << 'EOF'
listen_address: "0.0.0.0"
listen_port: 80
algorithm: "least-connections"

backends:
  - host: "10.0.1.10"  # Private IP
    port: 8080
  - host: "10.0.1.11"
    port: 8080

health_check:
  enabled: true
  interval_ms: 5000

logging:
  level: "info"
  format: "json"
  output: "/var/log/ultrabalancer/access.log"
EOF

# Create systemd service
cat > /etc/systemd/system/ultrabalancer.service << 'EOF'
[Unit]
Description=UltraBalancer
After=network.target

[Service]
Type=simple
ExecStart=/usr/local/bin/ultrabalancer -c /etc/ultrabalancer/config.yaml
Restart=always

[Install]
WantedBy=multi-user.target
EOF

# Start service
systemctl daemon-reload
systemctl enable ultrabalancer
systemctl start ultrabalancer

# Configure CloudWatch Logs
yum install -y amazon-cloudwatch-agent

main.tf

# AWS EC2 Instance for UltraBalancer

resource "aws_instance" "ultrabalancer" {
  ami           = "ami-0c55b159cbfafe1f0"  # Amazon Linux 2
  instance_type = "t3.medium"
  key_name      = var.key_name

  vpc_security_group_ids = [aws_security_group.ultrabalancer.id]
  subnet_id              = var.subnet_id

  user_data = file("user-data.sh")

  tags = {
    Name = "ultrabalancer"
    Environment = "production"
  }
}

resource "aws_security_group" "ultrabalancer" {
  name        = "ultrabalancer-sg"
  description = "Security group for UltraBalancer"
  vpc_id      = var.vpc_id

  ingress {
    from_port   = 80
    to_port     = 80
    protocol    = "tcp"
    cidr_blocks = ["0.0.0.0/0"]
  }

  ingress {
    from_port   = 443
    to_port     = 443
    protocol    = "tcp"
    cidr_blocks = ["0.0.0.0/0"]
  }

  egress {
    from_port   = 0
    to_port     = 0
    protocol    = "-1"
    cidr_blocks = ["0.0.0.0/0"]
  }
}

resource "aws_eip" "ultrabalancer" {
  instance = aws_instance.ultrabalancer.id
  domain   = "vpc"
}

output "public_ip" {
  value = aws_eip.ultrabalancer.public_ip
}

cloudformation.yaml

AWSTemplateFormatVersion: '2010-09-09'
Description: 'UltraBalancer on EC2'

Parameters:
  KeyName:
    Type: AWS::EC2::KeyPair::KeyName
    Description: EC2 Key Pair

  VPC:
    Type: AWS::EC2::VPC::Id

  Subnet:
    Type: AWS::EC2::Subnet::Id

Resources:
  UltraBalancerInstance:
    Type: AWS::EC2::Instance
    Properties:
      ImageId: ami-0c55b159cbfafe1f0
      InstanceType: t3.medium
      KeyName: !Ref KeyName
      SubnetId: !Ref Subnet
      SecurityGroupIds:
        - !Ref UltraBalancerSG
      UserData:
        Fn::Base64: !Sub |
          #!/bin/bash
          yum update -y
          curl -LO https://github.com/bas3line/ultrabalancer/releases/latest/download/ultrabalancer-linux-x86_64.tar.gz
          tar -xzf ultrabalancer-linux-x86_64.tar.gz
          mv ultrabalancer /usr/local/bin/
          # ... rest of setup
      Tags:
        - Key: Name
          Value: UltraBalancer

  UltraBalancerSG:
    Type: AWS::EC2::SecurityGroup
    Properties:
      GroupDescription: UltraBalancer Security Group
      VpcId: !Ref VPC
      SecurityGroupIngress:
        - IpProtocol: tcp
          FromPort: 80
          ToPort: 80
          CidrIp: 0.0.0.0/0
        - IpProtocol: tcp
          FromPort: 443
          ToPort: 443
          CidrIp: 0.0.0.0/0

Outputs:
  InstanceId:
    Value: !Ref UltraBalancerInstance
  PublicIP:
    Value: !GetAtt UltraBalancerInstance.PublicIp

ECS Fargate

ecs-task-definition.json

{
  "family": "ultrabalancer",
  "networkMode": "awsvpc",
  "requiresCompatibilities": ["FARGATE"],
  "cpu": "1024",
  "memory": "2048",
  "containerDefinitions": [
    {
      "name": "ultrabalancer",
      "image": "ultrabalancer/ultrabalancer:latest",
      "essential": true,
      "portMappings": [
        {
          "containerPort": 8080,
          "protocol": "tcp"
        }
      ],
      "environment": [
        {
          "name": "ULTRA_ALGORITHM",
          "value": "least-connections"
        },
        {
          "name": "ULTRA_BACKENDS",
          "value": "backend1.local:8080,backend2.local:8080"
        }
      ],
      "logConfiguration": {
        "logDriver": "awslogs",
        "options": {
          "awslogs-group": "/ecs/ultrabalancer",
          "awslogs-region": "us-east-1",
          "awslogs-stream-prefix": "ecs"
        }
      }
    }
  ]
}

EKS (Kubernetes)

eks-deployment.yaml

apiVersion: apps/v1
kind: Deployment
metadata:
  name: ultrabalancer
spec:
  replicas: 3
  selector:
    matchLabels:
      app: ultrabalancer
  template:
    metadata:
      labels:
        app: ultrabalancer
    spec:
      serviceAccountName: ultrabalancer
      containers:
      - name: ultrabalancer
        image: ultrabalancer/ultrabalancer:latest
        ports:
        - containerPort: 8080
        resources:
          requests:
            cpu: 200m
            memory: 256Mi
          limits:
            cpu: 1000m
            memory: 1Gi
---
apiVersion: v1
kind: Service
metadata:
  name: ultrabalancer
  annotations:
    service.beta.kubernetes.io/aws-load-balancer-type: nlb
spec:
  type: LoadBalancer
  selector:
    app: ultrabalancer
  ports:
  - port: 80
    targetPort: 8080

Google Cloud Platform

Compute Engine

gcloud
Terraform
Startup Script

# Create instance with startup script
gcloud compute instances create ultrabalancer \
  --machine-type=n1-standard-2 \
  --zone=us-central1-a \
  --image-family=ubuntu-2004-lts \
  --image-project=ubuntu-os-cloud \
  --boot-disk-size=20GB \
  --tags=http-server,https-server \
  --metadata-from-file=startup-script=startup.sh

# Create firewall rules
gcloud compute firewall-rules create allow-http \
  --allow=tcp:80 \
  --target-tags=http-server

gcloud compute firewall-rules create allow-https \
  --allow=tcp:443 \
  --target-tags=https-server

gcp.tf

resource "google_compute_instance" "ultrabalancer" {
  name         = "ultrabalancer"
  machine_type = "n1-standard-2"
  zone         = "us-central1-a"

  boot_disk {
    initialize_params {
      image = "ubuntu-os-cloud/ubuntu-2004-lts"
    }
  }

  network_interface {
    network = "default"
    access_config {
      // Ephemeral public IP
    }
  }

  metadata_startup_script = file("startup.sh")

  tags = ["http-server", "https-server"]
}

resource "google_compute_firewall" "http" {
  name    = "allow-http"
  network = "default"

  allow {
    protocol = "tcp"
    ports    = ["80"]
  }

  target_tags = ["http-server"]
}

startup.sh

#!/bin/bash

# Install UltraBalancer
curl -LO https://github.com/bas3line/ultrabalancer/releases/latest/download/ultrabalancer-linux-x86_64.tar.gz
tar -xzf ultrabalancer-linux-x86_64.tar.gz
sudo mv ultrabalancer /usr/local/bin/

# Create config
sudo mkdir -p /etc/ultrabalancer
sudo tee /etc/ultrabalancer/config.yaml << 'EOF'
listen_address: "0.0.0.0"
listen_port: 80
algorithm: "least-connections"

backends:
  - host: "backend1.c.project-id.internal"
    port: 8080
  - host: "backend2.c.project-id.internal"
    port: 8080

health_check:
  enabled: true
  interval_ms: 5000
EOF

# Create systemd service
sudo tee /etc/systemd/system/ultrabalancer.service << 'EOF'
[Unit]
Description=UltraBalancer
After=network.target

[Service]
ExecStart=/usr/local/bin/ultrabalancer -c /etc/ultrabalancer/config.yaml
Restart=always

[Install]
WantedBy=multi-user.target
EOF

sudo systemctl daemon-reload
sudo systemctl enable ultrabalancer
sudo systemctl start ultrabalancer

GKE (Kubernetes)

gke-deployment.yaml

apiVersion: apps/v1
kind: Deployment
metadata:
  name: ultrabalancer
spec:
  replicas: 3
  selector:
    matchLabels:
      app: ultrabalancer
  template:
    metadata:
      labels:
        app: ultrabalancer
    spec:
      containers:
      - name: ultrabalancer
        image: ultrabalancer/ultrabalancer:latest
        ports:
        - containerPort: 8080
        resources:
          requests:
            cpu: 200m
            memory: 256Mi
          limits:
            cpu: 1000m
            memory: 1Gi
---
apiVersion: v1
kind: Service
metadata:
  name: ultrabalancer
  annotations:
    cloud.google.com/load-balancer-type: "Internal"
spec:
  type: LoadBalancer
  selector:
    app: ultrabalancer
  ports:
  - port: 80
    targetPort: 8080

Microsoft Azure

Virtual Machine

Azure CLI
ARM Template
Cloud-Init

# Create resource group
az group create --name ultrabalancer-rg --location eastus

# Create VM
az vm create \
  --resource-group ultrabalancer-rg \
  --name ultrabalancer-vm \
  --image UbuntuLTS \
  --size Standard_D2s_v3 \
  --admin-username azureuser \
  --generate-ssh-keys \
  --custom-data cloud-init.txt

# Open ports
az vm open-port --resource-group ultrabalancer-rg --name ultrabalancer-vm --port 80
az vm open-port --resource-group ultrabalancer-rg --name ultrabalancer-vm --port 443

# Get public IP
az vm show --resource-group ultrabalancer-rg --name ultrabalancer-vm -d --query publicIps -o tsv

arm-template.json

{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "resources": [
    {
      "type": "Microsoft.Compute/virtualMachines",
      "apiVersion": "2021-03-01",
      "name": "ultrabalancer-vm",
      "location": "[resourceGroup().location]",
      "properties": {
        "hardwareProfile": {
          "vmSize": "Standard_D2s_v3"
        },
        "osProfile": {
          "computerName": "ultrabalancer",
          "adminUsername": "azureuser",
          "customData": "[base64(parameters('cloudInit'))]"
        },
        "storageProfile": {
          "imageReference": {
            "publisher": "Canonical",
            "offer": "UbuntuServer",
            "sku": "20.04-LTS",
            "version": "latest"
          }
        }
      }
    }
  ]
}

cloud-init.txt

#cloud-config
package_update: true
packages:
  - curl

runcmd:
  - curl -LO https://github.com/bas3line/ultrabalancer/releases/latest/download/ultrabalancer-linux-x86_64.tar.gz
  - tar -xzf ultrabalancer-linux-x86_64.tar.gz
  - mv ultrabalancer /usr/local/bin/
  - mkdir -p /etc/ultrabalancer
  - |
    cat > /etc/ultrabalancer/config.yaml << 'EOF'
    listen_address: "0.0.0.0"
    listen_port: 80
    algorithm: "least-connections"
    backends:
      - host: "backend1.internal"
        port: 8080
      - host: "backend2.internal"
        port: 8080
    EOF
  - |
    cat > /etc/systemd/system/ultrabalancer.service << 'EOF'
    [Unit]
    Description=UltraBalancer
    After=network.target
    [Service]
    ExecStart=/usr/local/bin/ultrabalancer -c /etc/ultrabalancer/config.yaml
    Restart=always
    [Install]
    WantedBy=multi-user.target
    EOF
  - systemctl daemon-reload
  - systemctl enable ultrabalancer
  - systemctl start ultrabalancer

AKS (Kubernetes)

aks-deployment.yaml

apiVersion: apps/v1
kind: Deployment
metadata:
  name: ultrabalancer
spec:
  replicas: 3
  selector:
    matchLabels:
      app: ultrabalancer
  template:
    metadata:
      labels:
        app: ultrabalancer
    spec:
      containers:
      - name: ultrabalancer
        image: ultrabalancer/ultrabalancer:latest
        ports:
        - containerPort: 8080
        resources:
          requests:
            cpu: 200m
            memory: 256Mi
          limits:
            cpu: 1000m
            memory: 1Gi
---
apiVersion: v1
kind: Service
metadata:
  name: ultrabalancer
  annotations:
    service.beta.kubernetes.io/azure-load-balancer-internal: "true"
spec:
  type: LoadBalancer
  selector:
    app: ultrabalancer
  ports:
  - port: 80
    targetPort: 8080

DigitalOcean

Droplet

# Create droplet with doctl
doctl compute droplet create ultrabalancer \
  --image ubuntu-20-04-x64 \
  --size s-2vcpu-4gb \
  --region nyc1 \
  --ssh-keys YOUR_SSH_KEY_ID \
  --user-data-file cloud-init.yaml

# Or via Terraform

do-terraform.tf

resource "digitalocean_droplet" "ultrabalancer" {
  name   = "ultrabalancer"
  size   = "s-2vcpu-4gb"
  image  = "ubuntu-20-04-x64"
  region = "nyc1"
  user_data = file("cloud-init.yaml")

  tags = ["production", "load-balancer"]
}

resource "digitalocean_firewall" "ultrabalancer" {
  name = "ultrabalancer-fw"

  droplet_ids = [digitalocean_droplet.ultrabalancer.id]

  inbound_rule {
    protocol         = "tcp"
    port_range       = "80"
    source_addresses = ["0.0.0.0/0", "::/0"]
  }

  inbound_rule {
    protocol         = "tcp"
    port_range       = "443"
    source_addresses = ["0.0.0.0/0", "::/0"]
  }

  outbound_rule {
    protocol              = "tcp"
    port_range            = "1-65535"
    destination_addresses = ["0.0.0.0/0", "::/0"]
  }
}

output "ip_address" {
  value = digitalocean_droplet.ultrabalancer.ipv4_address
}

DigitalOcean Kubernetes

do-k8s-deployment.yaml

apiVersion: apps/v1
kind: Deployment
metadata:
  name: ultrabalancer
spec:
  replicas: 3
  selector:
    matchLabels:
      app: ultrabalancer
  template:
    metadata:
      labels:
        app: ultrabalancer
    spec:
      containers:
      - name: ultrabalancer
        image: ultrabalancer/ultrabalancer:latest
        ports:
        - containerPort: 8080
---
apiVersion: v1
kind: Service
metadata:
  name: ultrabalancer
  annotations:
    service.beta.kubernetes.io/do-loadbalancer-protocol: "http"
    service.beta.kubernetes.io/do-loadbalancer-algorithm: "least_connections"
spec:
  type: LoadBalancer
  selector:
    app: ultrabalancer
  ports:
  - port: 80
    targetPort: 8080

Cost Optimization

AWS Cost Optimization

Use t3/t3a instances with burstable CPU
Enable Spot Instances for non-production
Use Reserved Instances for long-term savings
Enable auto-scaling to match demand
Use S3 for log archival

GCP Cost Optimization

Use e2 machine types for cost savings
Enable preemptible VMs for dev/test
Use committed use discounts
Enable auto-scaling
Use Cloud Storage for logs

Azure Cost Optimization

Use B-series VMs for variable workloads
Enable spot VMs for non-critical workloads
Use reserved instances
Enable auto-scaling
Use Azure Blob Storage for logs

Linux Server

Deploy on bare metal servers

Docker

Container deployment

Kubernetes

Kubernetes manifests and Helm

Monitoring

Cloud monitoring setup

Getting Started

Concepts

Configuration

Deployment

Testing

API

Advanced

Cloud Provider Deployment

Overview

AWS

Google Cloud

Azure

DigitalOcean

AWS Deployment

EC2 Instance

ECS Fargate

EKS (Kubernetes)

Google Cloud Platform

Compute Engine

GKE (Kubernetes)

Microsoft Azure

Virtual Machine

AKS (Kubernetes)

DigitalOcean

Droplet

DigitalOcean Kubernetes

Cost Optimization

Linux Server

Docker

Kubernetes

Monitoring

Getting Started

Concepts

Configuration

Deployment

Testing

API

Advanced

​Overview

AWS

Google Cloud

Azure

DigitalOcean

​AWS Deployment

​EC2 Instance

​ECS Fargate

​EKS (Kubernetes)

​Google Cloud Platform

​Compute Engine

​GKE (Kubernetes)

​Microsoft Azure

​Virtual Machine

​AKS (Kubernetes)

​DigitalOcean

​Droplet

​DigitalOcean Kubernetes

​Cost Optimization

​Related Topics

Linux Server

Docker

Kubernetes

Monitoring

Overview

AWS Deployment

EC2 Instance

ECS Fargate

EKS (Kubernetes)

Google Cloud Platform

Compute Engine

GKE (Kubernetes)

Microsoft Azure

Virtual Machine

AKS (Kubernetes)

DigitalOcean

Droplet

DigitalOcean Kubernetes

Cost Optimization

Related Topics