Describe your microservice architecture in plain English and let AI generate service topology, event-driven flows, database mappings, and API gateway diagrams automatically. Supports Mermaid & PlantUML.
Microservice architecture is a software design pattern where an application is built as a collection of small, independently deployable services. Each microservice owns a specific business domain — user authentication, order processing, payment handling, or notification delivery — and communicates with other services through well-defined APIs, message queues, or event buses.
Unlike monolithic architectures where all code lives in one deployable unit, distributed systems built with microservices allow teams to develop, deploy, and scale each service independently. This approach is used by companies like Netflix, Amazon, Uber, and Spotify to handle millions of requests per second.
A microservice architecture diagram visualizes these service boundaries, communication patterns, data ownership, and infrastructure components. Cybewave Studio uses AI to generate these diagrams from plain English descriptions — mapping architecture patterns into standards-compliant Mermaid and PlantUML output.
The AI understands microservice patterns and generates the right diagram for each concern.
Map every microservice, its responsibilities, and how they connect through APIs, gRPC, or message queues. Visualize bounded contexts and team ownership.
Visualize pub/sub patterns, event sourcing, saga choreography, and async communication between services via Kafka, RabbitMQ, or SQS.
Show each service's data store — PostgreSQL, MongoDB, Redis, DynamoDB — and cross-service data access patterns with clear ownership boundaries.
Model API gateway routing, backend-for-frontend patterns, rate limiting, authentication flows, and request aggregation across services.
Diagram sidecar proxies (Envoy, Istio), distributed tracing paths, circuit breakers, and monitoring infrastructure like Prometheus and Grafana.
Plan monolith-to-microservices transitions with strangler fig patterns, bounded context mapping, and incremental decomposition strategies.
Real-world distributed systems you can describe in plain English and get instant diagrams.
API gateway → product catalog, order service, payment service (Stripe), inventory service, notification service, PostgreSQL + Redis cache, Kafka event bus for order events.
WebSocket gateway, message service, presence service, Redis pub/sub for real-time delivery, MongoDB message store, push notification workers, user service with JWT auth.
Restaurant service, order orchestrator (saga pattern), driver matching, real-time GPS tracking, payment processing, push notifications, analytics pipeline.
Account service, transaction ledger (event sourced), fraud detection ML service, KYC verification, notification gateway, audit log service with immutable storage.
Follow proven patterns for building resilient distributed systems.
Each microservice owns one business capability. The AI helps you identify and separate bounded contexts.
Define service contracts before implementation. Visualize API interfaces, versioning, and backward compatibility.
Prefer async event buses over synchronous HTTP calls between services to reduce coupling and improve resilience.
Each service owns its data. The AI diagrams data ownership boundaries and cross-service query patterns.
Handle failures gracefully with circuit breakers, retries, and fallbacks. Visualize failure paths in your diagrams.
Aggregate logs, metrics, and traces. The AI generates monitoring infrastructure alongside your service topology.
Name your system, list services, tech stack, and external integrations
Identify users, admin roles, external APIs, and automated systems
Define what each actor does — API calls, event triggers, data flows
Capture constraints — rate limits, retries, circuit breakers, SLAs
Data models per service — fields, types, relationships, ownership
Purpose-built for software engineers designing distributed systems.
Free to start. 50 AI credits/month. No credit card required.
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