Microservices architecture for growing startups. We design and implement event-driven microservices that enable independent scaling and faster team velocity.
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Microservices aren't always the answer β but when your monolith is slowing down your team and your scale demands it, we know how to do the transition right. We design bounded contexts, implement event-driven communication, and establish the operational practices that make microservices successful rather than creating distributed complexity.
We build microservices using Node.js, Python, or Go depending on service requirements. Communication via Apache Kafka or RabbitMQ for events, gRPC for synchronous calls, and Kubernetes for orchestration. Each service gets its own PostgreSQL or Redis instance with Docker-based local development.
Series B+ startups whose monolith is becoming a bottleneck for team velocity or scale. If multiple teams are stepping on each other's code, deployments are risky, or single components can't scale independently, it's time to consider microservices.
Map business domains, identify bounded contexts, and determine which services to extract first for maximum impact.
Design service interfaces, communication patterns, data ownership, and deployment topology.
Extract services one at a time using strangler fig pattern, maintaining system stability throughout.
Build shared infrastructure β service templates, CI/CD pipelines, observability, and developer tooling.
Train teams on service ownership, establish operational practices, and document architectural decisions.
Let's design a microservices architecture that enables your teams to ship independently and scale effortlessly.
We recommend considering microservices when your monolith is causing deployment bottlenecks, when different components need to scale independently, or when your team has grown beyond 8-10 engineers. MicrocosmWorks helps you time this transition correctly.
Microservices architecture and scaling at MicrocosmWorks ranges from $25-$50/hour for startups. We take an incremental approach, extracting services one at a time to spread costs and reduce risk.
Yes, we implement auto-scaling, database read replicas, caching layers, CDN distribution, and asynchronous processing to handle viral growth. We also set up monitoring and alerting so you know about scaling issues before your users do.
We recommend starting with Kubernetes on a managed service like EKS or GKE with 3-5 services, a message broker, and an API gateway. For smaller startups, we use container orchestration on ECS or Cloud Run to reduce operational complexity and cost.
We implement service meshes, centralized logging, distributed tracing, and automated deployment pipelines that make microservices manageable for small teams. We also set up self-healing infrastructure and automated runbooks to minimize on-call burden.