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Microservices Architecture for Scale Using FastAPI and Pub/Sub

Design scalable, event-driven microservices using FastAPI and Pub/Sub messaging, ideal for high-growth startups needing performance, resilience, and modular systems.

Built around your operation
  • SaaS platforms scaling rapidly
  • Startups moving from monolith to microservices
  • Products with high traffic and performance needs
The business case

What changes for your business.

Expected outcomes from the solution.

Explore the approach

Highly scalable and resilient system architecture

Faster deployments with minimal downtime

Improved performance and lower latency

Better team productivity and system clarity

Results depend on scope, integrations and adoption.

The operating context

A clearer view of the whole operation.

As SaaS products and digital platforms grow, a monolithic backend can become harder to deploy, scale, and modify independently. Microservices can separate business capabilities into focused services, while asynchronous messaging helps reduce direct dependencies between components. PySquad designs and develops microservices architectures using FastAPI, Pub/Sub messaging, API gateways, observability, and automated deployment processes based on the application's scale, workload, and domain boundaries.

Where friction builds

Why Growing Applications Outgrow Monolithic Architectures

A growing monolith can make seemingly small changes affect unrelated parts of the application. Shared dependencies, tightly coupled modules, long deployment cycles, and resource contention can slow engineering teams and make it harder to scale specific workloads independently. Moving to microservices does not solve these issues automatically. Poor service boundaries, excessive synchronous communication, weak observability, and distributed data dependencies can introduce new operational problems. Without a clear architecture, teams may end up with more services but less control over the system.

Current approach
  • Splitting services without domain clarity
  • Synchronous communication causing bottlenecks
  • Manual deployments with downtime
  • Lack of monitoring and tracing
  • Tightly coupled services with shared dependencies
Operational impact
  • Frequent system failures and downtime
  • Slow performance under heavy load
  • Difficult debugging and issue tracking
  • Reduced team productivity
  • Limited scalability and flexibility
Inside the solution

The capabilities behind the operation.

Review the functional scope, then discuss the requirements specific to your team.

FastAPI-Based Services

Build high-performance, async microservices for scalability.

Event-Driven Architecture

Use Pub/Sub messaging for decoupled communication.

API Gateway Layer

Manage routing, authentication, and traffic control.

Observability Stack

Enable logging, metrics, and distributed tracing.

Auto-Scaling and CI/CD

Deploy services independently with zero downtime.

Domain-Based Architecture

Structure services around business domains for clarity.

From requirements to implementation

Grounded in the way your team works.

How we work
  1. 01

    Define service boundaries based on business domains

  2. 02

    Build FastAPI services with async communication

  3. 03

    Implement Pub/Sub messaging and API gateway

  4. 04

    Deploy, monitor, and optimize continuously

Our approach

PySquad designs microservices around business domains and system dependencies rather than splitting an application arbitrarily. FastAPI supports API driven services, while Pub/Sub can handle asynchronous events where decoupling is useful. We also incorporate gateways, observability, deployment automation, and service level controls needed for production environments.

Make an informed decision

Is this the right fit?

The right solution starts with the right operating requirements.

Check the fit with us

Designed for

  • SaaS platforms scaling rapidly
  • Startups moving from monolith to microservices
  • Products with high traffic and performance needs
  • Teams adopting event-driven architectures
  • Organizations building distributed systems

May not be suitable for

  • Small applications with simple backend needs
  • Projects without scalability requirements
  • Teams not ready for distributed system complexity
  • Use cases better suited for monolithic design

A closer look

 

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See it on your workflows

Walk through the solution with your operation in mind.

Discuss your requirements
Before you decide

Questions worth asking.

Ask something else
Is FastAPI suitable for production microservices?

Yes. FastAPI is well suited to API based services where Python, asynchronous request handling, type validation, and high development speed are important. The overall production architecture still determines scalability, reliability, and operational performance.

Which Pub/Sub technology should we use for microservices?

The choice depends on message volume, delivery requirements, infrastructure preferences, and operational needs. Options can include Apache Kafka, Google Cloud Pub/Sub, AWS messaging services, or other event streaming and messaging technologies.

Can you migrate an existing monolith to microservices?

Yes. Migration can be performed incrementally by identifying suitable business domains, extracting services in stages, and validating each transition before moving additional functionality.

How do you monitor and troubleshoot microservices?

We can implement centralized logging, metrics, distributed tracing, health checks, and service level monitoring. OpenTelemetry can be used to create consistent telemetry across supported components.

Do all microservices need to communicate through Pub/Sub?

No. Pub/Sub is useful for asynchronous events and decoupled workflows, while synchronous APIs may still be appropriate when an immediate response is required. The communication model should match the business and technical requirements of each interaction.

Start with your requirements

Let’s define your next step.

Tell us what needs to work better, the systems you use, and the scope you have in mind.

Discuss your requirementsShare your requirements through our enquiry form.

The people behind the projects

Good work is personal.

Meet our clients

A little closer, wherever you are

Big world.
Close partnership.

Product engineering, AI and Odoo ERP, with a shared plan and a working rhythm built around your team.

Offices in India, Spain & France.
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Different time zones. One shared conversation.

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