Cloud Architecture Templates
Production-ready diagram templates for AWS, Azure, GCP, Kubernetes, and more.
Start with a template or customize to your needs.
Featured Templates
LLM RAG Application
Retrieval Augmented Generation (RAG) architecture with vector database and LLM
Load Balanced Web Service
High-availability web service with load balancing and caching
AI Agent Architecture
Multi-agent system with tool orchestration and LLM-powered decision making
AWS Microservices Architecture
Production-ready microservices with ECS, API Gateway, and RDS
Kubernetes Microservices
Production-grade microservices deployment with Ingress and Services
ML Training Pipeline
End-to-end machine learning training pipeline with data processing and model registry
AWS Event-Driven Processing
Scalable serverless event processing with Lambda, SQS, and DynamoDB
Real-time ML Inference
Low-latency machine learning inference API with auto-scaling and caching
All Templates (20)
AWS Event-Driven Processing
Scalable serverless event processing with Lambda, SQS, and DynamoDB
AWS Microservices Architecture
Production-ready microservices with ECS, API Gateway, and RDS
AWS Real-Time Analytics Pipeline
Streaming data analytics with Kinesis, Lambda, and Redshift
GCP Serverless Web Application
Scalable serverless web app with Cloud Run, Firestore, and CDN
GCP Machine Learning Pipeline
End-to-end ML pipeline with Vertex AI, BigQuery, and Cloud Storage
Azure Web Application
Scalable web application with App Service, SQL Database, and CDN
Azure IoT Solution
Complete IoT solution with IoT Hub, Stream Analytics, and Cosmos DB
Kubernetes Microservices
Production-grade microservices deployment with Ingress and Services
Kubernetes Monitoring Stack
Complete observability with Prometheus, Grafana, and ELK
Message Queue with Workers
Scalable message queue pattern with multiple worker processors
Load Balanced Web Service
High-availability web service with load balancing and caching
Event Sourcing with CQRS
Event sourcing pattern with Command Query Responsibility Segregation
ML Training Pipeline
End-to-end machine learning training pipeline with data processing and model registry
Real-time ML Inference
Low-latency machine learning inference API with auto-scaling and caching
LLM RAG Application
Retrieval Augmented Generation (RAG) architecture with vector database and LLM
MLOps CI/CD Pipeline
Automated ML model training, testing, and deployment pipeline with continuous integration
Batch Inference Pipeline
Scheduled batch prediction processing for large-scale inference workloads
AI Agent Architecture
Multi-agent system with tool orchestration and LLM-powered decision making
ML Model Monitoring
Real-time monitoring and alerting for model performance and data drift detection
Computer Vision Pipeline
End-to-end image processing and analysis pipeline with object detection and classification
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