Microservices

Microservices Architecture for Teams That Ship Fast

We design and build microservices architectures that scale independently, deploy continuously, and recover automatically.

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What We Offer

Microservices Services

01
🧩

Service Decomposition

Domain-driven design to identify service boundaries.

02
🔌

API Gateway

Kong, AWS API Gateway, or custom routing and auth.

03
📨

Event-Driven

Kafka and RabbitMQ for async service communication.

04
🐳

Container Orchestration

Docker and Kubernetes for service lifecycle management.

05
📊

Service Mesh

Istio or Linkerd for observability and traffic management.

06
🔄

Saga Pattern

Distributed transaction management across services.

Microservices

Microservices Architecture for Teams That Ship Fast

Our microservices architecture services help engineering teams break a slow, tangled monolith into independently deployable services that scale, ship, and recover on their own schedule. From our base in Vadodara, we work with product teams across India, the UK, South Africa, and Ivory Coast to define clean service boundaries with domain-driven design — so a payments service and a search service can grow at different rates without one blocking the other. We handle the parts most teams underestimate: API gateways, async messaging with Kafka or RabbitMQ, distributed transactions via the Saga pattern, and the observability you need to debug a request that crosses six services.

Decomposition without the downtime

Most of our engagements start with an existing system, not a blank slate. We use the strangler fig pattern to extract services from a running monolith one bounded context at a time, keeping production traffic stable as we go — the same discipline we bring to full app modernisation work. Before any split, we model the data: shared tables become owned schemas, and we design each service's database around its own consistency needs rather than forcing a distributed transaction where eventual consistency will do. The result is a set of services your teams can reason about, test in isolation, and deploy without a release-train bottleneck.

Built to run in production

A microservice is only as good as the platform it runs on, so we ship each service in Docker containers orchestrated by Kubernetes, wired into the CI/CD pipelines and observability we set up through our cloud and DevOps practice. Service meshes like Istio give you traffic control, retries, and distributed tracing without touching application code, while API gateways handle auth, rate limiting, and routing at the edge. Whether you're scaling a SaaS platform or a mission-critical enterprise system, we design for failure first — health checks, circuit breakers, and graceful degradation are built in, not bolted on. Tell us where your monolith hurts and we'll map the path out. Start a conversation.

FAQ

Microservices FAQ

Start with a monolith. Move to microservices when different parts of the system need to scale independently, teams are working on the same codebase and blocking each other, or deployment frequency requires service-level independence.
Kafka for high-throughput event streaming and audit logs. RabbitMQ for simpler task queues and routing. We help choose based on your message volume, ordering requirements, and operational complexity tolerance.
We implement the Saga pattern with choreography or orchestration depending on the complexity. Compensating transactions handle rollbacks. We avoid distributed transactions where possible by designing around eventual consistency.
Yes — we provision and configure Kubernetes clusters (EKS, GKE, or bare-metal), set up Helm charts, ingress controllers, horizontal pod autoscaling, and CI/CD pipelines for each service.

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