Generate interactive visual cloud topologies, AWS Well-Architected Framework audits, monthly cost projections, Single Point of Failure (SPOF) analyses, and production Terraform & Kubernetes manifests in seconds.
Real-time WebSocket cluster with sub-50ms driver matching, Redis GEO spatial indexing, Kafka event streams, and Aurora PostgreSQL PostGIS persistence.
Passenger & Driver mobile apps emitting continuous telemetry and booking intents.
Terminates TLS, shields against DDoS L7 floods, and accelerates API payloads.
Multiplexes HTTP/2 REST APIs and persistent WebSocket connection streams.
Maintains long-lived driver location connections and pushes dispatch notifications.
Executes geospatial nearest-neighbor matching algorithms and surge pricing calculations.
In-memory Redis GEO radius queries for sub-5ms driver proximity lookups.
Decoupled event pipeline for ride requests, GPS breadcrumbs, and analytics.
Primary ACID database for passenger accounts, payment ledgers, and trip history.
Passenger & Driver mobile apps emitting continuous telemetry and booking intents.
100k+ concurrent active sessions
Evaluates system design against enterprise cloud standards for security, resilience, and performance
WAF L7 filters, TLS 1.3, KMS envelope encryption & IAM roles
Cross-AZ auto-failover, health checks & automated self-healing
Sub-50ms P99 latency, Redis caching & horizontal auto-scaling
Right-sized compute tasks, reserved instances & zero idle waste
Automated Terraform/IaC blueprints & telemetry observability
ARM64 Graviton/Ampere silicon compute & optimal resource density
Framework Conclusion: Exceeds AWS Well-Architected Framework benchmarks with Multi-AZ redundancy, WAF perimeter security, ARM64 Graviton compute, and automated IaC.
Granular itemized cost breakdown modeled on standard on-demand and reserved instances
12x Tasks + 8x EKS Pods
3 Shards (cache.r6g.large)
Multi-AZ 1 Writer + 2 Replicas
3x kafka.m5.large brokers
10 TB Data Transfer Out + ALB LCU
Identifies bottlenecks, database master failover windows, and disaster recovery metrics
99.99%
< 4.3m downtime/mo≤ 0 Min
Max allowable data loss≤ 2 Min
Auto-failover duration3 Availability Zones
Cross-AZ mesh networkVulnerability: If primary Redis master fails, in-flight GPS pings in a 2-second window could be dropped.
Enabled Multi-AZ auto-failover with standby replica promotion within 15 seconds.
Vulnerability: Massive surge traffic during rainstorm spikes could saturate connection handles.
Target Tracking scaling policy scales task count by 200% when connection count exceeds 5,000 per task.
Spin up this entire multi-tier architecture locally or deploy directly to AWS
# main.tf - Production Cloud Infrastructure
terraform {
required_version = ">= 1.5.0"
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 5.0"
}
}
}
provider "aws" {
region = "us-east-1"
}
# 1. Multi-AZ Virtual Private Cloud (VPC)
module "vpc" {
source = "terraform-aws-modules/vpc/aws"
version = "5.0.0"
name = "archcraft-production-vpc"
cidr = "10.0.0.0/16"
azs = ["us-east-1a", "us-east-1b", "us-east-1c"]
private_subnets = ["10.0.1.0/24", "10.0.2.0/24", "10.0.3.0/24"]
public_subnets = ["10.0.101.0/24", "10.0.102.0/24", "10.0.103.0/24"]
enable_nat_gateway = true
single_nat_gateway = false
}
# 2. Redis Geospatial Cache Cluster
resource "aws_elasticache_cluster" "redis_geo" {
cluster_id = "ride-hailing-redis"
engine = "redis"
node_type = "cache.r6g.large"
num_cache_nodes = 1
parameter_group_name = "default.redis7"
port = 6379
subnet_group_name = module.vpc.elasticache_subnet_group_name
}
# 3. Amazon Aurora PostgreSQL (Multi-AZ with PostGIS)
resource "aws_rds_cluster" "aurora_db" {
cluster_identifier = "ride-hailing-aurora"
engine = "aurora-postgresql"
engine_version = "15.3"
database_name = "rides_production"
master_username = "archcraft_admin"
master_password = "SuperSecurePass2026!"
backup_retention_period = 7
preferred_backup_window = "03:00-04:00"
vpc_security_group_ids = [aws_security_group.db_sg.id]
}
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CloudArchitect.AI is an AI-driven cloud system design studio that converts product requirements and scale specifications (MVP to Hyperscale) into multi-tier production topologies, itemized monthly billing estimates, SPOF reliability audits, and copy-ready Terraform and Kubernetes infrastructure code.
CloudArchitect.AI scores architectures across all 6 AWS Well-Architected Pillars: Security (WAF, KMS, IAM), Reliability (Multi-AZ failover, RPO/RTO), Performance (sub-50ms P99 latency), Cost Optimization (FinOps & compute savings), Operational Excellence (IaC automation), and Sustainability (ARM64 Graviton/Ampere compute density).
The engine generates modular Terraform HCL scripts (VPC, Subnets, ALB, ECS/EKS clusters, RDS Multi-AZ, ElastiCache Redis), local Docker Compose emulator environments, and production-ready Kubernetes (K8s) deployment manifests.
Yes! CloudArchitect.AI maps equivalent native cloud services across AWS, Google Cloud Platform (GCP), and Microsoft Azure, allowing teams to compare latency, SLA tiers, and monthly operating costs in real time.