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Microservices Development

We decompose complex systems into independently deployable microservices. Each service owns its data, scales on its own, and communicates through well-defined contracts for maximum resilience.

Independent Scaling

Scale bottleneck services without scaling the entire system. Allocate resources precisely where demand requires them.

Team Autonomy

Small teams own individual services end-to-end, enabling parallel development, independent releases, and faster iteration.

Fault Isolation

A failure in one service doesn't cascade. Circuit breakers and graceful degradation keep the rest of your system healthy.

Microservices development cost

Estimated timelines and budget for microservice architecture

Microservices Platform

A microservices platform decomposes your system into independently deployable services with their own databases, APIs, and CI/CD pipelines for maximum scalability and team autonomy.

3–5 months

$50,000

Service decompositionAPI gatewaymessage brokerservice meshmonitoring

Microservices development process

01

Domain Decomposition

Result: Domain decomposition map, service boundaries, and communication contracts

1–2 weeks

Applying domain-driven design to identify bounded contexts, define service boundaries, and plan inter-service communication.

02

Service Development

Result: Independent services with their own databases, APIs, and deployment pipelines

2–4 months

Building individual services with their own databases, APIs, and deployment pipelines. Using message queues for async communication.

03

Distributed Testing

Result: Contract test results, chaos experiment outcomes, and integration test report

2–3 weeks

Contract testing between services, chaos engineering experiments, and end-to-end integration tests across the full system.

04

Container Orchestration

Result: Dockerized services running on Kubernetes with auto-scaling and centralized logging

1–2 weeks

Dockerized services deployed to Kubernetes with auto-scaling, health checks, rolling updates, and centralized logging.

Technologies

Node.jsRustDockerRabbitMQKubernetes

FAQ

Microservices make sense when you have a large team, need independent scaling, or plan frequent releases. For small teams or early-stage products, a well-structured monolith is often the better choice.
We commonly use RabbitMQ for task queues and reliable messaging, and Apache Kafka for high-throughput event streaming. Redis Streams works well for lighter workloads.
We use the saga pattern for distributed transactions, event sourcing for audit trails, and eventual consistency with compensating actions for most inter-service workflows.
Yes. We follow the strangler-fig pattern, gradually extracting services from the monolith so you get incremental benefits without a risky big-bang rewrite.
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