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Microservices Backend Development

We Build Scalable Microservices Backends That Handle Millions of Requests

Your monolith is a bottleneck. Every deploy risks breaking everything. I decompose, design, and build microservices backends on AWS that scale independently, deploy safely, and handle traffic spikes without breaking a sweat.

Embedded Since 2022

50 services in one client's production estate

Event-Driven Architecture

Loosely coupled, independently scalable

Production in 30 Days

First service live in one week

Start Your Backend ProjectSee Backend Case Studies
Scope or Refund • Fixed-Price • You Keep the Code

Common Challenges

When Your Monolith Becomes the Problem

Monoliths work until they don't. Here is what I 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 I Build

Microservices Backends That Actually Scale

Three flavors of scalable microservices backends I 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 I Use

I don't invent new patterns. I apply proven distributed systems patterns that work at scale. Every one of these ships in my 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 My Microservices Backends

Every service I 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

I build microservices backends for specific industries. See my work in multi-tenant SaaS platforms, high-traffic e-commerce, and fintech infrastructure. Need an engineer? One senior engineer, embedded in your team.

Results

Results From My Microservices Backends

50
Services in Production
Contributed to since 2022, in one client's estate
1,441
Commits Shipped
Self-measured 2026-08-21 from a private repository
30 Days
To Production
First service live and handling traffic

Microservices Backend Development FAQ

Common questions about building scalable microservices backends on AWS.

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.

Still have questions? Book a call

Let's talk about what you're building.

Start with a free 48-hour AWS diagnostic. I review your setup, find the bottlenecks, and walk you through a prioritized 30-day plan.

Free 48-Hour AWS Diagnostic

Complete infrastructure analysis

Prioritized Plan

30-day implementation plan

Expert Insights

Senior engineer recommendations

I reply within one business day. No spam. You talk to the engineer who writes the code.

No Obligation
48-Hour Delivery
Expert Analysis
1,441 commits across 50 services in one client's production codebase. Self-measured 2026-08-21.