ARCHITECTURE · SCALABILITY · DDD · CQRS

Architecture and Scalability

We design systems that grow with your business on DDD, CQRS, and microservices.

Designed on
Clean Architecture
C4 · context
DDD
  • UI
    React · Angular · Vue
  • Application
    Use cases · CQRS
  • Domain
    Rules · Aggregates
  • Infrastructure
    Persistence · Messaging
Features over 12 months
Real curves
No architectureTraditional MVCClean Architecture

Same team, different architecture.

SERVICES

How we help

From initial design to production system optimization, we cover your architecture's entire lifecycle.

System design

We design architectures from scratch or evolve existing ones. DDD, hexagonal architecture, CQRS, and event sourcing applied according to domain complexity.

Monolith migration

Gradual, controlled transition from monoliths to microservices. Strangler fig pattern, bounded contexts, and migration strategies that minimize risk.

Performance engineering

Profiling, load testing, and bottleneck optimization. From N+1 queries to caching strategies and horizontal scaling under demand.

Cloud native

Kubernetes, serverless functions, and multi-cloud architectures. Infrastructure as code with Terraform, observability with Prometheus and Grafana.

TECHNICAL DEBT

Architecture determines how much your software can grow

The initial investment in clean architecture allows adding features sustainably. Without it, every new feature is slower and more expensive.

WeeksFeatures24681012No architectureTraditional MVCClean Architecture

Relationship between architecture investment and the ability to deliver features long-term

DIFFERENTIATORS

Technical differentiators

  • Architectures running in production under sustained peaks and 10x growth
  • Monolith to microservices migration
  • SOLID principles, DDD, Hexagonal Architecture, CQRS
METHODOLOGY

From target architecture to measured production

Three phases that connect diagnosis, design, and execution without losing the trail between technical decisions and business outcomes.

01
01 / 03

Diagnosis

Audit on real code, data, and operations. We identify bottlenecks, critical debt, and measurable scaling opportunities.

  • Bounded contexts map
  • Real metrics: p95, RPS, error rate
  • Risks and critical debt
  • CI/CD and observability state
02
02 / 03

Design

Target architecture in ADRs with a phased migration strategy. Every decision backed by diagnostic data and target metrics.

  • Target architecture on DDD
  • Strategy: modular monolith vs microservices
  • Kubernetes platform and observability
  • Phased migration plan
03
03 / 03

Evolution

Slice-by-slice migration with strangler fig, without stopping business. Operational metrics tracked weekly and continuous delivery from the first sprint.

  • Strangler fig over the monolith
  • Observability with OpenTelemetry
  • Operational SLOs per service
  • Team enablement
FAQ

What they ask before signing

Common questions on architecture and scalability.

  • Microservices or modular monolith?
    Depends on team size, domain, and operations. A well-structured modular monolith for small teams and stable domains; microservices when modules have very different load profiles or parallel teams. The decision is backed by bounded contexts and metrics.
  • How long does a microservices migration take?
    Between 6 and 18 months depending on volume, test coverage, and domain isolation. We apply strangler fig: per-slice extractions with feature flags, without stopping business and measuring every release.
  • How do you measure the impact of a refactor?
    With operational SLOs (p95, RPS, error rate, MTTR) and product metrics (time-to-market per feature, deploy frequency, debt reduced). Every release leaves a trail in the observability stack.

Tell us about your project

We analyze how your project works today and identify where you can gain real efficiency with AI and software.