Microservices

Transforming rigid monoliths into agile and scalable microservices.

Overview

We split monoliths where splitting actually buys something — usually teams blocking each other, or components with very different scaling profiles. Where it does not, we say so: microservices move complexity, they do not remove it.

Key benefits

Split along real boundaries

Services follow business domains, not the org chart. Otherwise you get a distributed monolith — the worst of both.

Observability from day one

Distributed tracing, correlated logs and per-service metrics, in place before the first production release.

Scale only what needs it

Payments and reporting get resources independently, instead of scaling together.

How we work
  1. 01

    Discovery

    We map the current system, its constraints and the business goals before proposing anything.

  2. 02

    Architecture

    We design the structure, data model and integration points. Decisions get documented, not improvised.

  3. 03

    Implementation

    Delivered in short iterations, with reviewed code and a staging environment you can see at any time.

  4. 04

    Testing & QA

    Automated tests plus performance and security checks before every release.

  5. 05

    Launch & support

    We ship with a rollback plan, then stay on for monitoring and iteration.

Technologies

DockerKubernetesRabbitMQgRPCKafkaTraefikOpenTelemetry

Use cases

Teams blocked on every release

When several teams share one deploy pipeline and queue behind each other.

Traffic spikes on a single feature

Image processing or report generation that starves the rest of the application.

Post-acquisition integration

Two products that must behave as one, without fully merging the codebases.

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