Prompt library

Microservices Architecture Prompts

Microservices prompts work best when they name service boundaries, owned data, and the mix of synchronous and asynchronous communication. These examples help you get a clean first draft without flattening the whole system into one box.

Each prompt here is built for AI-native technical diagrams in AIDrawIO. Start from plain English, get draw.io-compatible output, then keep editing as XML or export SVG and PNG.

Copyable prompt blocks

Grab a proven prompt quickly instead of composing from scratch every time.

Refinement-ready

Each prompt includes a follow-up so you can add boundaries, detail, and review context.

Editable outputs

Generated diagrams stay compatible with draw.io workflows instead of locking you into images.

Copy and generate

Copyable prompts for microservices architecture prompts

Use one prompt as-is, or combine it with the follow-up prompt to add labels, constraints, security detail, or failure handling.

Prompt 1

Marketplace microservices platform

Prompt

Create a microservices architecture diagram for a marketplace platform: web app, mobile app, API gateway, auth service, user service, listing service, order service, payment service, notification service, Kafka for events, Redis cache, PostgreSQL per service, and object storage for media uploads.

Why this prompt works

It names the client layer, core domain services, async backbone, and data ownership pattern that make a microservices diagram useful during review.

Follow-up prompt

Show which services own each database and add retry handling for failed payment events.
Prompt 2

Internal developer platform

Prompt

Generate a microservices architecture diagram for an internal developer platform: SSO login, API gateway, service catalog, environment provisioning service, secrets service, audit log service, job runner, PostgreSQL, Redis, event bus, and metrics stack. Group components by platform, control plane, and background processing.

Why this prompt works

The prompt adds service grouping and operational systems, which produces a diagram closer to a real internal platform design.

Follow-up prompt

Add tenant boundaries for each engineering team and show the approval flow for environment creation.
Prompt 3

Event-driven order workflow

Prompt

Draw a microservices architecture for order processing: clients, API gateway, auth service, cart service, checkout service, inventory service, payment service, order service, Kafka, worker consumers, Redis, and separate Postgres databases for cart, orders, and inventory. Distinguish synchronous requests from asynchronous event flow.

Why this prompt works

It tells the model where the user-facing path stops and where the event-driven processing begins, which is the main point of the architecture.

Follow-up prompt

Add dead-letter queue handling and annotate the compensating action when payment succeeds but inventory reservation fails.

How to use these prompts

From prompt to editable diagram

1

Pick a base prompt

Choose the closest prompt for your architecture, workflow, or schema.

2

Generate in AIDrawIO

Paste it into the app and create the first structured draft fast.

3

Refine with follow-up

Add more scope like failure paths, zones, labels, or compliance detail.

4

Export and share

Keep draw.io-compatible XML or export SVG and PNG for docs and review.

Related tools

Jump into a specialized generator when you know the exact diagram category.

More prompt pages

Use adjacent prompt libraries when your diagram crosses categories.

FAQ

Common questions about microservices architecture prompts

What should a microservices architecture prompt include?

Include clients, gateways, services, owned data stores, caches, queues or event buses, and the main request or event flows between them.

Should the prompt show service boundaries and owned databases?

Yes. Those details make the diagram much more useful for engineering review and documentation.

Can I use follow-up prompts to add resilience details?

Yes. Follow-up prompts are a good way to add retries, dead-letter handling, ownership notes, or scaling detail after the first draft.