Microservices Backend Development
We Build Scalable Microservices Backends That Handle Millions of Requests
Your monolith is a bottleneck. Every deploy risks breaking everything. We decompose, design, and build microservices backends on AWS that scale independently, deploy safely, and handle traffic spikes without breaking a sweat.
47+ Systems Shipped
Production microservices at scale
Event-Driven Architecture
Loosely coupled, independently scalable
Production in 30 Days
First service live in one week
Common Challenges
When Your Monolith Becomes the Problem
Monoliths work until they don't. Here is what we see every week.
Deploy Fear
Every release is a gamble. One bad deploy takes down everything. Your team ships slower because the blast radius is the entire application.
Can't Scale
Single database, single server. Traffic spikes crash the entire system. You cannot scale the hot path without scaling everything.
Team Bottlenecks
Everyone works on the same codebase. Merge conflicts, slow releases, stepping on each other. Adding engineers makes it worse, not better.
What We Build
Microservices Backends That Actually Scale
Three flavors of scalable microservices backends we build on AWS. Every pattern battle-tested in production.
Event-Driven Microservices
SNS + SQS + EventBridge + Lambda
Loosely coupled services that communicate through events. Independent scaling, independent deploys. One service failing never takes down the rest.
API-First Backends
API Gateway + Lambda/ECS + DynamoDB/Aurora
RESTful and GraphQL APIs with sub-100ms response times. Auto-scaling, rate limiting, caching built in. Handle 10 or 10 million requests without code changes.
Data-Intensive Backends
Kinesis + DynamoDB Streams + ElastiCache + Redshift
Real-time data processing, CQRS pattern, event sourcing for audit trails. Ingest millions of events per hour and query them in milliseconds.
Architecture Patterns
Proven Microservices Patterns We Use
We don't invent new patterns. We apply proven distributed systems patterns that work at scale. Every one of these ships in our backends.
Event Sourcing
Store every state change as an immutable event. Full audit trail, time-travel debugging, and replay capability for rebuilding projections.
CQRS
Separate read and write models. Optimize writes for consistency, reads for speed. Scale each side independently based on actual load.
Saga Pattern
Coordinate distributed transactions across services without two-phase commit. Compensating actions handle failures gracefully.
API Gateway Pattern
Single entry point for all clients. Request routing, composition, protocol translation, rate limiting, and auth in one place.
Circuit Breaker
Prevent cascade failures across services. When a downstream service is unhealthy, fail fast instead of waiting and blocking threads.
Database per Service
Each microservice owns its data. No shared databases, no schema coupling. Services communicate through APIs and events, not joins.
Technology Stack
The AWS Stack Behind Our Microservices Backends
Every service we use to build scalable microservices backends. Production-proven, not theoretical.
Compute
- Lambda
- ECS
- Fargate
APIs
- API Gateway (REST & WebSocket)
- AppSync (GraphQL)
Data
- DynamoDB
- Aurora Serverless
- ElastiCache (Redis)
Messaging
- SQS
- SNS
- EventBridge
- Kinesis
Orchestration
- Step Functions
- EventBridge Scheduler
Observability
- X-Ray (Tracing)
- CloudWatch (Metrics & Logs)
- Prometheus + Grafana
Results
Results From Our Microservices Backends
Microservices Backend Development FAQ
Common questions about building scalable microservices backends on AWS.
MSCLOUDTECH builds scalable microservices backends for companies worldwide. Our senior AWS engineers have shipped 47+ production microservices systems across fintech, SaaS, e-commerce, and healthcare. We handle architecture design, implementation, deployment pipelines, and observability. From event-driven architectures to API-first backends, we deliver 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.
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