BACKEND ENGINEERING · APIs · MICROSERVICES

High-performance backend development

We design and build APIs, microservices, and event-driven architectures on solid, cutting-edge stacks.

Stack in production
API Gateway
api.dinacode.com
Healthy
  • GET/v1/orders
    200
  • POST/v1/payments
    201
  • GET/v1/users/:id
    204
01 · METHODOLOGY

Architectures and methodologies that scale.

Modern stack, solid engineering principles, and measured operations. Every layer designed for real load, evolution, and continuous delivery.

StackDeploy
Production zone
backend that scales
DDDClean ArchitectureSOLIDTDDevent-drivenCQRS
Spring BootQuarkusNestJSSymfonyKubernetesGrafana + PrometheusDevOps
TECHNICAL DECISION

The right architecture for each case.

We choose the architecture by domain, team, and load. Precision in this decision defines the three-year cost.

Modular monolith

Cohesion and simplicity

Single domain, small team, single deployment. Delivery speed with well-bounded modules.

1-3 squads · catalog < 30 endpoints

Microservices

Scale and independence

Parallel teams, isolated deployments, and decoupled domains. Each service evolves at its own pace.

4+ squads · uneven traffic

Event-driven

Asynchrony and decoupling

Complex workflows, cross-domain integration, and eventual consistency with full traceability.

Multiple integrations · high variability

Serverless

Variable load

Elastic peaks, back-office, and scheduled jobs. Scales to zero when there is no demand.

Peak loads · critical time-to-market
02 · PROCESS

From design to production in every sprint.

Every decision leaves a trace. Every commit goes through the same chain. Operations enters from sprint one.

01
01 / 03

Design

Domain modeling, explicit contracts, and documented decisions. The architecture is executable from the first commit.

  • Domain Driven Design
  • OpenAPI contracts
  • ADRs per decision
  • C4 diagrams
02
02 / 03

Build

TDD from the first test, mandatory code review, and CI/CD active in sprint 1. Trunk-based development with feature flags.

  • Test-Driven Development
  • Mandatory code review
  • CI/CD in sprint 1
  • Trunk-based development
03
03 / 03

Operate

Full observability, defined SLOs, and zero-downtime deployments. Traceable runbooks and postmortems.

  • Logs · Traces · Metrics
  • SLOs and alerts
  • Zero-downtime deploys
  • Runbooks and postmortems
03 · STANDARDS

Every Dinacode backend ships with.

A closed set of practices that comes with every project. Same bar for every commit in production.

  • Automated tests at three levels: unit, integration, and contract testing.
  • Native observability: structured logs, distributed traces, and metrics.
  • Security by design: OWASP, secret management, and dependency auditing.
  • Continuous deployment with zero-downtime, feature flags, and automatic rollback.
  • Living documentation: OpenAPI specs, ADRs, and operations runbooks.
  • Performance budgets: measured p95 and alerts when latency degrades.
TECHNOLOGIES

Technology stack

We work with the most robust backend ecosystems on the market, selecting the most suitable technology for each project based on its performance, scalability, and maintainability requirements.

JVM
Java 21Spring BootQuarkusHibernate
Node · TypeScript
NestJSFastifyTypeScriptPrisma
Other languages
GoPythonPHPSymfony
Infrastructure
KubernetesDockerAWSGCP
04 · FAQ

What gets asked before signing.

Direct answers about architecture, timelines, and operations.

  • Microservices always, or does it depend?
    It depends on the domain and the team. We model first. If a modular monolith solves it, we choose that. Microservices come in when there is real scale and parallel squads.
  • How do you keep technical debt low?
    TDD from the first test, mandatory code review, ADRs per decision, and continuous refactor inside every sprint. Debt does not pile up because it is treated as regular work.
  • How long until a backend reaches production?
    Continuous deployment in sprint 1. Live features in sprint 2-3. Weekly iteration from there.
  • Do you work on existing code?
    Yes. We audit architecture and debt, stabilize the critical points, and refactor in parallel with operations. Delivery keeps moving.
  • What SLAs do you offer in production?
    SLOs per service, full observability with OpenTelemetry, actionable alerts, and optional on-call with documented runbooks.
SUCCESS STORIES

Companies that trust our team

Companies that trust Dinacode to build backends that hold up in production.

Tell us about your project

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