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Software Engineering Practice

Microservices Architecture

Decoupled, containerized service design for elastic scalability and independent team deployment.

Service Overview

As engineering organizations grow, monolithic codebases create deployment bottlenecks. We design and implement decoupled microservices architectures using Docker, Kubernetes, and gRPC/REST communication layers.

Who This Service Is For

Scale-up engineering teams experiencing monolith bottlenecks
Organizations requiring independent scaling of high-traffic features
Companies adopting containerization (Docker/Kubernetes)

Practical Challenges We Solve

•Single bug bringing down the entire monolithic application
•Slow deployment pipelines requiring all teams to deploy at once
•Inability to scale specific CPU-heavy features independently

What We Deliver

Domain-driven microservices breakdown & boundary design
Containerization (Docker) and Kubernetes (EKS/AKS) manifest setup
Service mesh & API gateway configuration
Distributed tracing & centralized logging setup

Scope Boundaries & Clear Commitments

Standard Included Scope
  • •Microservices code separation
  • •Docker containerization
  • •Kubernetes manifests
  • •Distributed tracing setup
Requires Separate Agreement
  • •Cloud infrastructure hosting bill (AWS/Azure)

Target Use Cases & Workflows

E-commerce microservices (Catalog, Cart, Payment, Inventory)
Fintech transaction processing pipelines
High-traffic media streaming backends

How We Work & Delivery Methodology

Domain-Driven Design (DDD) delivering independently deployable, resilient microservices with automated CI/CD pipelines.

01. DiscoveryScope & Wireframes
02. ArchitectureSchema & API Plan
03. Build & TestSprint Demos & QA
04. HandoverCode Transfer & Support

Core Technologies & Toolstack

Node.jsGoDockerKubernetesgRPCRabbitMQ

Cost & Timeline Factors

Project estimates vary depending on technical complexity rather than flat template rates. Key cost drivers include:

  • •Number of microservices to design and deploy
  • •Complexity of distributed data transactions (Saga pattern)
  • •Container orchestration requirements (Kubernetes vs ECS)

Handover, IP Ownership & Support

Infrastructure-as-Code scripts (Terraform/Helm)
Microservices source code repositories
Operational monitoring & alerting runbooks

Client Preparation Checklist

To help us launch your project quickly, having these items ready is beneficial:

  • •Existing system architecture diagrams
  • •Domain model & team structure overview
  • •Cloud provider account credentials (AWS/Azure/GCP)

Frequently Asked Questions

We recommend microservices when multiple engineering teams are blocking each other on releases, or when specific features require independent elastic scaling.

Discuss Your Project

Share your software, cloud, or data project requirements — our engineering leads will get back to you within 24 hours.

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