Domain-driven design
Bounded contexts and service boundaries aligned with your business domains.
Microservices Architecture
Break the monolith - scale each piece independently
We design and build microservices architectures that let your teams develop, deploy, and scale services independently - without the coordination overhead that slows monoliths down.
- Monolith decomposition and service design
- Event-driven and API-first architecture
- Container orchestration with Kubernetes
Integration layer
EHR
CRM
ERP
CareOnix API
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{ "status": "ok", "confidence": 0.98 }
What we deliver
Microservices, done practically
We avoid the complexity trap - services are split where it matters and kept simple where it does not.
Event-driven messaging
Async communication via Kafka, RabbitMQ, or SQS for loose coupling and resilience.
API gateway
Centralized routing, auth, rate limiting, and versioning for your service mesh.
Service mesh
Observability, traffic management, and mTLS between services.
Distributed tracing
End-to-end request tracing across services for fast debugging.
Data patterns
Database-per-service, CQRS, event sourcing, and saga patterns for data consistency.
How it works
Independent teams, independent deployments
Each service owns its domain, its data, and its deployment pipeline. Teams move fast without stepping on each other, and failures in one service do not cascade to others.
- Each service independently deployable and scalable
- Circuit breakers and bulkheads for fault isolation
- Shared nothing - services communicate via APIs and events
How we work
From monolith to microservices
An incremental approach that delivers value at each step.
- 01
Analyze the monolith
We map domains, dependencies, and identify the highest-value services to extract first.
- 02
Design service boundaries
We define APIs, data ownership, and communication patterns.
- 03
Extract and build
We incrementally extract services, keeping the monolith running throughout.
- 04
Set up orchestration
We deploy container orchestration, service mesh, and observability.
- 05
Optimize and expand
We refine patterns and continue decomposition based on team and business needs.
The payoff
What microservices unlock
Organizational and technical agility.
Faster delivery
Teams deploy their services independently without coordinated release windows.
Independent scaling
Scale hot services without scaling the entire application.
Fault isolation
A failure in one service does not take down the whole system.
Team autonomy
Teams own their services end to end - code, deploy, monitor.
Technology flexibility
Each service can use the best language and framework for its job.
Easier maintenance
Smaller codebases are easier to understand, test, and refactor.
Under the hood
Technologies we build with
Orchestration
- Kubernetes
- Docker
- Istio
- Linkerd
Messaging
- Kafka
- RabbitMQ
- SQS
- NATS
APIs
- REST
- gRPC
- GraphQL Federation
- AsyncAPI
Observability
- Jaeger
- Prometheus
- Grafana
- OpenTelemetry
FAQ
Questions, answered
Still deciding? These are the things teams ask us most - and if yours isn't here, a 30-minute call will cover it.
Not always. We honestly assess whether the complexity is justified for your team size, deployment needs, and growth trajectory.
Yes. We recommend the strangler fig pattern - extracting services one at a time while the monolith continues to run.
With patterns like saga, event sourcing, and eventual consistency - chosen based on your consistency requirements per domain.
We mitigate it with standardized templates, shared libraries, observability, and clear documentation.
Cross-functional teams aligned to business domains, each owning one or more services end to end.
Explore more services
Let's scope your project
Tell us what you're trying to solve. We'll come back with a clear, fixed-scope plan - no jargon, no obligation.