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Technology

A modern engineering stack for resilient platforms and premium product experiences.

JJM selects technology based on operational fit, maintainability, resilience, and how quickly teams can safely evolve the system over time.

Stack Overview

Platform, product, data, and AI technologies used across JJM delivery.

The tools matter, but the architecture behind them matters more. JJM uses this stack to create dependable systems that feel fast, connected, and operationally clear.

Azure
.NET
Docker
Kubernetes
Terraform
Azure DevOps
React
Next.js
Angular
Flutter
React Native
PostgreSQL
SQL Server
Cosmos DB
Redis
Service Bus
OpenAI
Python

Cloud & Platform

Azure

Cloud architecture, identity, messaging, and enterprise hosting.

.NET

Backend services and enterprise application development.

Docker

Containerized delivery and consistent deployment environments.

Kubernetes

Orchestrated workloads built for resilience and scale.

Terraform

Infrastructure as code for repeatable cloud environments.

Azure DevOps

Planning, pipelines, governance, and release workflows.

Product Engineering

React

High-fidelity interfaces for fast, responsive web products.

Next.js

SSR, performance, and structured content delivery at scale.

Angular

Enterprise frontend systems with durable design patterns.

Flutter

Cross-platform mobile experiences built for field teams.

React Native

Mobile product delivery with shared UI and platform speed.

Data, Messaging & AI

PostgreSQL

Relational systems for reliable operational data.

SQL Server

Enterprise data services for line-of-business workloads.

Cosmos DB

Global data access patterns for modern cloud-native systems.

Redis

Caching and low-latency data layers for responsive platforms.

Service Bus

Reliable event and messaging flows across distributed services.

OpenAI

Applied intelligence woven into enterprise workflows.

Python

Automation, integrations, AI pipelines, and analytics tooling.

Architecture Principles

How JJM thinks about enterprise technology decisions.

Technology choices are guided by the needs of the organization, the complexity of the workflows, and the future operating model.

Composable systems

Build platforms that can grow cleanly through clear service boundaries, reusable components, and structured integration layers.

Operational visibility

Treat observability, data quality, and release telemetry as product features rather than afterthoughts.

Performance with discipline

Balance speed, cost, and maintainability so products stay fast and dependable as complexity grows.