AILANG Toolchain Multi-AZ Architecture architecture diagram

About This Architecture

AILANG toolchain multi-AZ architecture spans two AWS availability zones with CloudFront CDN, WAF, and dual ALBs routing traffic to EC2 compiler runtimes and ECS deterministic runners. Lambda example validators orchestrate inference calls to Anthropic, Gemini, and OpenAI endpoints while persisting CI results to RDS primary/standby and badge state to DynamoDB with cross-region replicas. This design ensures high availability, fault tolerance, and seamless AI model validation across geographically distributed infrastructure. Fork and customize this diagram on Diagrams.so to adapt the multi-AZ topology, add additional model endpoints, or modify database replication strategies for your toolchain requirements.

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How do you design a multi-AZ AWS architecture for a CI/CD toolchain that integrates multiple AI model endpoints with high availability?

This AILANG diagram shows a resilient multi-AZ design using CloudFront CDN and WAF for edge protection, dual ALBs across AZ-1 and AZ-2 routing to EC2 compiler runtimes and ECS deterministic runners, Lambda validators calling Anthropic, Gemini, and OpenAI endpoints, and RDS primary/standby plus DynamoDB replicas for data durability. The architecture ensures fault tolerance, low-latency AI inference

AILANG Toolchain Multi-AZ Architecture

AutoadvancedAWSmulti-AZCI/CDCloudFrontECSLambda
Domain: Cloud AwsAudience: DevOps engineers and cloud architects designing multi-AZ CI/CD pipelines with AI model integration
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Created by

July 24, 2026

Updated

August 18, 2026 at 10:03 AM

Type

architecture

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