FastAPI-Based Services
Build high-performance, async microservices for scalability.
Scalable microservices using FastAPI and Pub/Sub
Trusted by clients worldwide



















As products grow, monolithic systems struggle to handle scale, deployments, and team collaboration. Modern architectures require flexible, event-driven systems that can evolve without breaking.
We work best with teams who treat software as an operating system for the business, not a one-off project.
Monoliths slow down scaling and development
Businesses face slow deployments, tightly coupled services, and performance issues under load. Lack of clear boundaries and poor system visibility make scaling and maintaining applications difficult.
Common approaches
Where it falls short
Does this match your constraints?
Talk to us before you commit to another generic build.
Building blocks that keep delivery predictable under real operating load.
Build high-performance, async microservices for scalability.
Use Pub/Sub messaging for decoupled communication.
Manage routing, authentication, and traffic control.
Enable logging, metrics, and distributed tracing.
Deploy services independently with zero downtime.
Structure services around business domains for clarity.
Step 1
Define service boundaries based on business domains
Step 2
Build FastAPI services with async communication
Step 3
Implement Pub/Sub messaging and API gateway
Step 4
Deploy, monitor, and optimize continuously
We design microservices architectures using FastAPI for high-performance services and Pub/Sub for asynchronous communication. Our approach ensures scalability, resilience, and smooth team collaboration.
What teams plan for when scope, integrations, and release are handled as one program.
Highly scalable and resilient system architecture
Faster deployments with minimal downtime
Improved performance and lower latency
Better team productivity and system clarity
Straight answers procurement and engineering teams ask before a build kicks off.
Yes, FastAPI is async-first, lightweight, and extremely performant.
Depends on scale—Kafka for high throughput, Google Pub/Sub for managed simplicity, Redis Streams for lightweight use cases.
Yes, teams can own independent services with isolated deployments.
We implement logs, metrics, and distributed tracing using OpenTelemetry.
Yes, we follow an incremental strangler-pattern approach for safe migration.
A software engineering team for complex operations. We build tools that fit how you work, not software that forces you to change everything overnight.
Discovery, build, integrations, testing, release, and follow-up once real users are in the product. You talk to engineers and leads who own the outcome.
Share scope, constraints, and timelines. We respond with a clear delivery approach, not a generic pitch deck.
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Tell us what you are building, which systems matter, and the outcome you need. We reply within 24 hours with a clear next step.
50+ teams · Production-ready delivery · Reply within 24h
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