Enterprise capability for SMBs
Architectures, practices, and tools once reserved for banks or large companies, adapted to realistic budgets.
technology
Enterprise architecture, not an improvised prototype.
dev4evo is built on modern, open-source, observable technologies. The goal is a system that is simple to use, but serious about security, data, operations, and integrations.
platform
Infrastructure as a technical product
For years, large enterprise systems and accessible solutions for mid-sized industries followed separate paths. With the rise of AI, those paths are meeting again: mid-sized and small companies also need technical foundations capable of supporting automation, data, security, and growth.
Our mission is to bring that capability at costs aligned with the real market, without giving up quality, technical excellence, or security. We do it with reusable infrastructure, DevSecOps practices, and mentoring so each development can support its own vertical solutions.
DevSecOps without compromising security
Automation, controls, traceability, and observability as part of the product, not as a layer added at the end.
Mentoring and evolutionary support
Support so each team can operate, understand, and grow its vertical solution on a robust foundation.
stack
Main system layers
The technical choices aim to separate responsibilities: interface, domain, data, security, infrastructure, AI, and observability.
Backend
- Java
- Native Quarkus
- APIs for integrations
- Services prepared to scale
Frontend
- Quasar
- Vue.js
- Responsive web application
- Operational experience for daily use
Data and AI
- PostgreSQL
- PostGIS
- pgvector for embeddings
- AI integration
Seguridad
- Keycloak
- Identity management
- Roles and permissions
- Centralized authentication
Infrastructure and DevSecOps
- Traefik
- Redis
- Consul
- Pipelines, security, and continuous operation
Observabilidad
- Grafana
- Prometheus
- Loki
- Promtail
- Tempo
- OpenTelemetry Collector
Documents
- Gotenberg
- PDF generation
- Document automation
architecture
Prepared to operate, measure, and evolve
An enterprise system is not defined only by the screen. It also needs auditing, observability, integrations, data security, and room to grow without rewriting everything.
- Quasar/Vue.js web application for professionals and administration.
- Java/Quarkus APIs as the core of the medical and appointment domain.
- PostgreSQL with extensions for geographic data and embeddings.
- Keycloak for identity, roles, and permissions.
- Distributed observability with metrics, logs, and traces.
AI integration
The combination of PostgreSQL, pgvector, and AI services makes contextual search, assistance over medical records, and future automation possible while keeping control of the data.
Complete observability
Prometheus, Grafana, Loki, Tempo, and OpenTelemetry help understand performance, errors, and execution traces, which is key for serious support.