Map independent services linked by an API gateway, message bus, and per-service data stores.
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A microservices architecture diagram shows how an application is split into small, independently deployable services. It centers on an API gateway routing client requests to discrete services like auth, orders, and payments, with a message broker for async events and each service owning its own database. The diagram exposes service boundaries and communication paths at a glance.
Backend architects, engineering leads, and cloud teams use it to plan decomposition, document service ownership, and review scaling and resilience. It is a staple of design docs, architecture decision records, and onboarding for distributed systems built on Kubernetes or serverless platforms.
Microservices architecture structures an application as a set of small, independently deployable services that each own a business capability and communicate over the network.
Typical components include an API gateway, individual services, a message broker for async events, per-service databases, and shared infrastructure like caching and service discovery.
An API gateway gives clients a single entry point, handling routing, authentication, rate limiting, and aggregation so services stay focused on business logic.
Services communicate synchronously over HTTP/gRPC through the gateway and asynchronously through a message broker like Kafka or RabbitMQ for event-driven workflows.
Visualize code flowing from commit through build, test, and automated deployment stages
Show the Kubernetes control plane and worker node components and how they connect
Map the Git-driven deployment loop where a repo is the source of truth for infrastructure
Show how metrics, logs, and alerts flow from services into dashboards and on-call paging
Show a typical AWS web app stack from CloudFront and ALB to compute, RDS, and S3
Guide on-call engineers from alert detection through severity triage to resolution and review
Map independent services, an API gateway, databases and a message bus in a microservices system
Map API Gateway, Lambda functions, managed databases and event triggers in a serverless app
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