Skip to content
Codemotives

SaaS & Modernization

Microservices That Earn Their Complexity

We split systems into independently deployable services where it genuinely helps, with clear boundaries, resilient communication and the tooling to run them.

Get in touchHow we work

Overview

Microservices Development

Microservices can let teams ship independently and scale hot spots separately, but they also add network failures, distributed data and operational overhead. Codemotives starts by asking whether you need them. For many products a well-structured modular monolith is cheaper and faster, and we say so when that is the case.

When services are justified, we draw boundaries around business capabilities, define contracts between them, choose synchronous or event-driven communication deliberately, and build in tracing, logging and deployment automation. The goal is a system your team can operate and change confidently, not just one that looks modern on an architecture diagram.

Context

Problems we solve

  • 01

    Wrong service boundaries

    Splitting along technical layers instead of business capabilities creates chatty services that must change together.

  • 02

    Distributed data headaches

    Without a shared database, consistency, reporting and transactions across services need explicit design.

  • 03

    Operational overhead

    More services means more deployments, dashboards and failure modes. Teams without tooling struggle quickly.

  • 04

    Premature adoption

    Small teams adopting microservices early often slow down. The architecture should match team and product size.

Capabilities

What we deliver

  1. 01

    Architecture assessment

    We weigh monolith, modular monolith and microservices options against your team, scale and release needs.

  2. 02

    Domain-driven service design

    Boundaries drawn around business capabilities, with clear ownership of data and APIs.

  3. 03

    API and event contracts

    REST, gRPC or message-based contracts with versioning and consumer testing to prevent breakage.

  4. 04

    Resilience patterns

    Timeouts, retries, circuit breakers and idempotent handlers so one failure does not cascade.

  5. 05

    Observability

    Distributed tracing, structured logs and metrics that make cross-service problems diagnosable.

  6. 06

    Container delivery pipelines

    Docker builds, CI/CD and Kubernetes or managed container deployment for each service.

Where it fits

  • Extracting a high-load module from a monolith
  • Letting separate teams deploy independently
  • Event-driven order and inventory processing
  • Scaling one expensive feature on its own
  • Building a new platform with clear domain boundaries

Technologies we use

  • Docker
  • Kubernetes
  • Node.js
  • Go
  • Spring Boot
  • Apache Kafka
  • RabbitMQ
  • gRPC

Approach

How we deliver

  1. 1

    Discover

    We learn your goals, users, constraints and existing systems before proposing anything.

  2. 2

    Plan

    Scope, priorities, architecture and milestones are agreed so everyone knows what ships when.

  3. 3

    Design

    User flows, interfaces and technical design are shaped and reviewed with you early.

  4. 4

    Build

    Work is delivered in short iterations with regular demos, so progress is always visible.

  5. 5

    Test

    Functional, integration and performance checks run throughout, not only at the end.

  6. 6

    Launch & support

    We deploy, monitor and keep improving the product after it goes live.

FAQs

Common questions

Have a question that is not covered here? Get in touch.

Do we really need microservices?

Not always. If your team is small and the product is still changing quickly, a modular monolith is often faster and cheaper to run. We recommend services when independent scaling, deployment or team ownership clearly justifies the overhead.

Can you break up our existing monolith?

Yes, typically by extracting one capability at a time and routing traffic gradually. We start with the part that changes most or strains infrastructure most, and avoid splitting everything at once.

How do you handle data consistency?

Each service owns its data, and cross-service workflows use events, sagas or compensating actions instead of distributed transactions. We document where eventual consistency applies so product teams can plan for it.

What affects cost and timeline?

The number of services, how entangled the current code is, infrastructure choices and how much observability and automation you need. Untangling shared databases is usually the biggest variable.

Explore

Keep exploring

Let's build what's next

Tell us about your idea, product or legacy system. Send us a message and we will help you scope the right next step.

Get in touch