Cloud Provider IntegrationsDeploy AI across AWS, Azure, Google Cloud and more
Comprehensive deployment guides and configurations for cloud providers, with examples for AWS, Azure, and Google Cloud Platform.
Cloud Providers
Overview
Configuration and examples
Cloud Provider Integration Benefits
- ✓Deploy across AWS, Azure, Google Cloud, and hybrid environments
- ✓Auto-scaling infrastructure and serverless deployment options
- ✓Native cloud services integration and cost optimization
- ✓Enterprise security and compliance standards
Multi-Cloud Support
Deploy and manage AI workloads across multiple cloud providers with unified orchestration.
Enterprise Security
Built-in security controls, compliance frameworks, and data protection across all cloud environments.
AWS
Configuration and examples
Amazon Web Services Integration
Deploy Litends AI on AWS with native integration to SageMaker, Lambda, EC2, and other AWS services.
AWS Deployment Example
# AWS CloudFormation Template
AWSTemplateFormatVersion: '2010-09-09'
Description: 'Litends AI deployment on AWS'
Resources:
LitendsECSCluster:
Type: AWS::ECS::Cluster
Properties:
ClusterName: litends-ai-cluster
LitendsTaskDefinition:
Type: AWS::ECS::TaskDefinition
Properties:
Family: litends-ai-task
Cpu: '2048'
Memory: '4096'
NetworkMode: awsvpc
RequiresCompatibilities:
- FARGATE
ContainerDefinitions:
- Name: litends-ai
Image: litends/ai-platform:latest
PortMappings:
- ContainerPort: 8080
Environment:
- Name: AWS_REGION
Value: !Ref 'AWS::Region'
- Name: S3_BUCKET
Value: !Ref DataBucket
DataBucket:
Type: AWS::S3::Bucket
Properties:
BucketName: !Sub 'litends-data-${AWS::AccountId}'Azure
Configuration and examples
Microsoft Azure Integration
Leverage Azure's comprehensive cloud platform with integrated AI services, containers, and enterprise tools.
Azure Kubernetes Deployment
# Azure Kubernetes Service deployment
apiVersion: apps/v1
kind: Deployment
metadata:
name: litends-ai-deployment
namespace: litends
spec:
replicas: 3
selector:
matchLabels:
app: litends-ai
template:
metadata:
labels:
app: litends-ai
spec:
containers:
- name: litends-ai
image: litends/ai-platform:latest
ports:
- containerPort: 8080
env:
- name: AZURE_STORAGE_ACCOUNT
value: "litendsdata"
- name: AZURE_COGNITIVE_SERVICES_KEY
valueFrom:
secretKeyRef:
name: azure-secrets
key: cognitive-services-key
resources:
requests:
memory: "2Gi"
cpu: "1000m"
limits:
memory: "4Gi"
cpu: "2000m"
---
apiVersion: v1
kind: Service
metadata:
name: litends-ai-service
spec:
selector:
app: litends-ai
ports:
- port: 80
targetPort: 8080
type: LoadBalancerGoogle Cloud
Configuration and examples
Google Cloud Platform Integration
Deploy on Google Cloud with integrated AI Platform, Cloud Run, and BigQuery for comprehensive ML workflows.
Cloud Run Deployment
# Google Cloud Run deployment script
#!/bin/bash
# Set project variables
PROJECT_ID="your-project-id"
SERVICE_NAME="litends-ai"
REGION="us-central1"
# Build and deploy to Cloud Run
gcloud builds submit --tag gcr.io/$PROJECT_ID/$SERVICE_NAME
gcloud run deploy $SERVICE_NAME \
--image gcr.io/$PROJECT_ID/$SERVICE_NAME \
--platform managed \
--region $REGION \
--allow-unauthenticated \
--memory 4Gi \
--cpu 2 \
--set-env-vars="GCP_PROJECT=$PROJECT_ID" \
--set-env-vars="GOOGLE_CLOUD_PROJECT=$PROJECT_ID"
# Set up IAM permissions
gcloud run services add-iam-policy-binding $SERVICE_NAME \
--region $REGION \
--member="serviceAccount:litends-ai@$PROJECT_ID.iam.gserviceaccount.com" \
--role="roles/run.invoker"Ready to deploy on your preferred cloud?
Start deploying Litends AI on your cloud platform of choice and scale your AI infrastructure with confidence.