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Enterprise Operations

Flux

An internal operations platform for field teams, reports, tickets, sites, and cutover-safe backend modernization.

Year

2026

Status

Internal

Platform

Enterprise web application

Role

Full-stack Developer

Timeline

2026

Collaboration

Internal operations team

Tech

Go, Gin, MySQL, GORM, React, shadcn/ui, Radix UI, JWT

Project Overview

Flux is an internal operations platform for Varnion teams managing sites, schedules, field activities, reports, tickets, Starlink workflows, Fiberzone work orders, projects, notifications, and more.

  • Go/Gin + MySQL backend runs alongside a legacy FastAPI/MongoDB system during rewrite.
  • React frontend uses `REACT_APP_API_URL` to target the new API.
  • Migration tooling imports 32+ collections from MongoDB into relational tables.
  • Cutover support includes parity checks, uploads sync, and smoke scripts.

The Challenge

Internal operations platforms carry years of data, role-specific behavior, and edge-case workflows that cannot be lost during a backend rewrite.

  • MongoDB documents and embedded assets needed reliable MySQL mapping.
  • Legacy IDs and auth sessions had to remain compatible where possible.
  • Frontend views depended on many endpoints and response shapes.
  • Role-based data scoping needed consistent enforcement across domains.

The Solution

A phased Go/Gin + MySQL rewrite with migration tooling, smoke tests, uploads sync, and frontend API compatibility work.

  • GORM models and migrations define the new relational foundation.
  • Migration CLI supports dry-run, collection import, full import, fresh reload, and verification.
  • Go API serves static uploads while preserving legacy upload paths.
  • Smoke suite checks dozens of read-only endpoints used by the React frontend.

Visual Journey

Enterprise Workflow Direction

Flux needed to support dense operational data while keeping field, admin, and reporting workflows predictable during a backend rewrite.

  • Table-heavy workflows prioritize filtering, status visibility, and role-scoped access.
  • Frontend API calls must adapt to Go response shapes without disrupting users.
  • Migration tooling preserves historical operations data and uploaded assets.
  • Smoke tests validate critical read paths before cutover.

Responsive & UX System

Breakpoints

  • Desktop-first operations dashboards for tables and reports
  • Responsive forms and detail views for field-adjacent workflows

Interactions

  • Status chips, filters, and scoped lists reduce operational ambiguity
  • Smoke-tested endpoints protect critical frontend views

Accessibility

  • Radix/shadcn patterns support consistent focus behavior
  • Data tables rely on clear labels, actions, and status states

Tech Stack

Backend Rewrite

GoGinGORMMySQL

Frontend

ReactCRACOshadcn/uiRadix UIAxios

Migration

Data migration CLIUpload syncParity verification

Security & Access

JWTRole-based scopingExisting SECRET_KEY compatibility

Infrastructure

Hosting

Internal deployment

Backend

Go/Gin API

Database

MySQL

Storage

Local/static upload serving with legacy uploads sync

CI/CD

Build, smoke, and migration scripts

Monitoring

Smoke test PASS/FAIL output and API health checks

Key Features

Backend modernization

Rewrites legacy FastAPI/MongoDB services into Go/Gin with MySQL persistence.

Improves operational reliability while preserving existing workflows.

Data migration CLI

Imports 32+ collections with dry-run, fresh reload, and verification modes.

Makes cutover safer and repeatable.

Operational domain coverage

Supports sites, activities, reports, tickets, work orders, projects, Starlink, and notifications.

Keeps field and admin workflows centralized.

Uploads preservation

Synchronizes legacy uploads and converted embedded assets so historical records keep working.

Prevents broken references after migration.

Smoke suite

Validates roughly 45 read-only frontend endpoints before cutover.

Gives confidence that critical views remain usable.

Process

  1. 01Discovery

    Map legacy domains and migration constraints

    Audited legacy collections, models, auth expectations, uploads, and frontend API dependencies.

    • Rewrite design spec
    • Collection mapping
    • Cutover checklist
  2. 02Backend foundation

    Build Go/Gin API and MySQL schema

    Created service layers, platform utilities, migrations, auth compatibility, and endpoint coverage.

    • Go API
    • MySQL migrations
    • Shared platform packages
  3. 03Migration and cutover prep

    Validate data, uploads, and frontend reads

    Implemented migration commands, smoke scripts, uploads sync guidance, and frontend base URL alignment.

    • Migration CLI
    • Smoke test suite
    • Frontend compatibility updates

Deliverables

Go/Gin API

New backend serving internal operations domains.

MySQL schema and migrations

Relational data model replacing legacy MongoDB documents.

Migration tool

CLI for dry-run, import, reload, and parity verification across supported collections.

Frontend integration

React app configured to consume the new API during cutover preparation.

Redacted screenshot prompts

Prompts for generating sanitized Flux UI screenshots without exposing real internal data.

Outcomes

32+

Collections migrated

Legacy Mongo collections mapped into MySQL import flow.

45

Smoke endpoints

Read-only routes used by the React frontend.

2 systems

Rewrite boundary

Legacy FastAPI/MongoDB and new Go/Gin/MySQL during migration.

SEO & Performance

Performance

  • Fast internal dashboard navigation across dense operational data
  • Stable API responses for table-heavy frontend views

SEO

  • Public project page presents anonymized technical scope without internal data or public URLs

Technical checks

  • go test ./...
  • go vet ./...
  • Smoke script for read-only frontend endpoints

Extended Narrative

Vlux is a production internal platform at Varnion for telecom field operations: sites, schedules, activities, reports, tickets, work orders, and projects. The backend was modernized from FastAPI and MongoDB to Go, Gin, and MySQL with migration scripts and smoke tests so teams could cut over without losing operational history.

The public case study emphasizes architecture, workflow reliability, and data migration safety—not live customer data. Gallery imagery should use sanitized UI only: an enterprise dashboard with KPI cards and ticket tables, a field activity submission form, and a ticket detail view with status timeline and assign/close actions, all in a neutral shadcn-style light theme.

Modernizing internal operations software?

Flux shows how I approach high-risk rewrites, migration tooling, and internal dashboards without exposing private systems.