We Build Scalable Microservices Backends That Handle Millions of Requests

MSCLOUDTECH builds scalable microservices backends for companies worldwide. One senior engineer designs and implements them across fintech, SaaS, e-commerce, and healthcare, handling architecture, implementation, deployment pipelines, and observability. From event-driven architectures to API-first backends, production-ready scalable microservices backends in 30 days.

A single microservice with API, database, and CI/CD pipeline takes 1-2 weeks. A full microservices backend with 3-5 services, event-driven communication, and observability takes 4-6 weeks. Complex systems with 10+ services, saga orchestration, and CQRS patterns take 8-12 weeks. We deliver a working first service within the first week so you see progress immediately.

Not always. Microservices add operational complexity, so they only make sense when your monolith is genuinely blocking your team. Signs you need to migrate: deploys take hours and break unrelated features, teams step on each other in the same codebase, you cannot scale hot paths independently, or a single database is your bottleneck. We use the strangler fig pattern to migrate incrementally, one bounded context at a time, so you get benefits without big-bang risk.

Our core stack includes Lambda and ECS/Fargate for compute, API Gateway and AppSync for APIs, DynamoDB and Aurora for data, SQS/SNS/EventBridge for messaging, Step Functions for orchestration, and X-Ray/CloudWatch for observability. We pick the right tool for each service based on latency, throughput, and cost requirements rather than forcing a one-size-fits-all approach.

A starter microservices backend with 2-3 services runs $15,000-$30,000. A mid-complexity system with 5-8 services, event-driven messaging, and full CI/CD runs $30,000-$60,000. Enterprise-scale platforms with 10+ services, saga orchestration, and multi-region deployment start at $60,000+. All projects are fixed-price with a 30-day delivery guarantee.

Yes. We own the full lifecycle: architecture design (domain modeling, service boundaries, data ownership), implementation (APIs, business logic, data layer), infrastructure as code (CDK/Terraform), CI/CD pipelines, observability (tracing, metrics, alerting), and documentation. You get a production-ready system, not a slide deck.