Microbrewery Keg Tracker Backend Template
Track keg cleaning dates, beer styles, and distributor locations
A production-ready microbrewery keg tracker backend on Back4app with keg cleaning dates, beer style records, and distributor location tracking. Includes ER diagram, data dictionary, JSON schema, API playground, and an AI Agent prompt for rapid bootstrap.
Key Takeaways for Keg Operations
This template gives you a microbrewery keg tracker backend with keg cleaning dates, beer style records, and distributor location tracking so managers and field staff can keep inventory moving.
- Cleaning-date control — Model Keg cleaningDate and nextCleanDue so shift leads can spot overdue kegs before they leave the cellar.
- Beer-style traceability — Use BeerStyle name, ABV, and IBU fields to link each keg to the pour spec on the tap list.
- Distributor location visibility — Keep Distributor and Location pointers together so operations staff know where a keg was sent or returned.
Microbrewery Keg Tracker Backend at a Glance
If you cannot answer where an item was last week, microbrewery keg tracker stakeholders will not trust the count you publish today. Clarity beats heroics. With Keg, CleaningLog, BeerStyle, Distributor, and Location modeled cleanly on Back4app, microbrewery keg tracker stakeholders get consistent reporting without exporting five different spreadsheets. The schema covers Keg (kegNumber, beerStyle, cleaningDate, status), CleaningLog (keg, cleanedBy, cleanedAt, nextCleanDue), BeerStyle (name, abv, ibu, seasonal), Distributor (name, phone, routeCode), and Location (label, address, city) with auth and inventory workflows built in. Connect your preferred frontend and ship faster.
Best for:
Microbrewery Keg Tracker template overview
When microbrewery keg tracker volume spikes, informal processes collapse first — not because people stop caring, but because memory and messages do not scale.
Review Keg, CleaningLog, and BeerStyle first, then open a stack card to see SDK-specific notes and integration patterns.
Core Microbrewery Keg Tracker Features
Every technology card in this hub uses the same brewery schema with Keg, CleaningLog, BeerStyle, Distributor, and Location.
Keg lifecycle tracking
Keg class stores kegNumber, beerStyle, cleaningDate, status, and location.
Cleaning-date logging
CleaningLog class links a keg to cleanedBy, cleanedAt, and nextCleanDue.
Beer style catalog
BeerStyle class captures name, abv, ibu, and seasonal.
Distributor location tracking
Distributor class includes routeCode, phone, and a Location pointer.
Why Build Your Microbrewery Keg Tracker Backend with Back4app?
Back4app gives you keg, cleaning, and distributor primitives so managers can focus on cellar operations instead of infrastructure.
- •Keg and cleaning-log structure: Keg and CleaningLog classes keep cleaningDate, cleanedAt, and nextCleanDue aligned for operational checks.
- •Beer style and distributor records: BeerStyle and Distributor classes store the names, routeCode values, and location links you need for brewery dispatch.
- •Realtime + API flexibility: Use Live Queries for Keg status changes while keeping REST and GraphQL available for taproom, warehouse, and field apps.
Build and iterate on keg tracking features quickly with one backend contract across mobile and web.
Core Benefits
A keg tracker backend that helps your brewery run cleaner handoffs and tighter inventory control.
Faster keg audits
Start from a complete Keg and CleaningLog schema instead of building cleaning-date tracking from zero.
Clear style assignment
Link BeerStyle records to each keg so staff can confirm what beer is on the truck, in the cooler, or on tap.
Better distributor visibility
Use Distributor and Location fields to see where a keg was sent and who is responsible for it.
Cleaner operations handoff
Status, cleaningDate, and nextCleanDue help the cellar, dispatch, and taproom teams speak the same language.
Brewery data that stays organized
Store keg movement, cleaning history, and distributor assignments without reshaping the model every season.
AI bootstrap workflow
Generate backend scaffolding and integration guidance fast with one structured prompt.
Ready to launch your keg tracker app?
Let the Back4app AI Agent scaffold your microbrewery keg tracker backend and generate keg cleaning dates, beer style records, and distributor location workflows from one prompt.
Free to start — 50 AI Agent prompts/month, no credit card required
Technical Stack
Everything included in this microbrewery keg tracker backend template.
ER Diagram
Entity relationship model for the microbrewery keg tracker schema.
Schema covering kegs, cleaning logs, beer styles, distributors, and locations.
View diagram source
erDiagram
User ||--o{ Brewery : "manager"
User ||--o{ CleaningLog : "cleanedBy"
Brewery ||--o{ Keg : "brewery"
Keg ||--o{ CleaningLog : "keg"
User {
String objectId PK
String username
String email
String password
String role
Date createdAt
Date updatedAt
}
Brewery {
String objectId PK
String breweryName
String location
String managerId FK
Date createdAt
Date updatedAt
}
Keg {
String objectId PK
String kegTag
String beerStyle
Date cleaningDate
String breweryId FK
String distributorLocation
String status
Date createdAt
Date updatedAt
}
CleaningLog {
String objectId PK
String kegId FK
String cleanedById FK
Date cleaningDate
String notes
Date createdAt
Date updatedAt
}
Integration Flow
Typical runtime flow for login, keg list refresh, cleaning-log entry, and distributor location updates.
View diagram source
sequenceDiagram
participant User
participant App as Microbrewery Keg Tracker App
participant Back4app as Back4app Cloud
User->>App: Sign in to the keg tracker
App->>Back4app: POST /login
Back4app-->>App: Session token
User->>App: Open today's keg list
App->>Back4app: GET /classes/Keg?include=brewery&order=cleaningDate
Back4app-->>App: Keg rows with beerStyle, cleaningDate, and distributorLocation
User->>App: Record a cleaning pass
App->>Back4app: POST /classes/CleaningLog
Back4app-->>App: CleaningLog objectId
User->>App: Update keg status after inspection
App->>Back4app: PUT /classes/Keg/{objectId}
Back4app-->>App: Updated keg status and timestampsData Dictionary
Field-level reference for every class in the microbrewery keg tracker schema.
| Field | Type | Description | Required |
|---|---|---|---|
| objectId | String | Auto-generated unique identifier | Auto |
| username | String | User login name | |
| String | User email address | ||
| password | String | Hashed password (write-only) | |
| role | String | Role of the user (e.g., manager, coordinator, field-staff) | |
| createdAt | Date | Auto-generated creation timestamp | Auto |
| updatedAt | Date | Auto-generated last-update timestamp | Auto |
7 fields in User
Security and Permissions
How ACL and CLP strategy secures kegs, cleaning logs, beer styles, distributor data, and locations.
Role-based ops control
Limit edits to Keg, CleaningLog, and Distributor records to cellar managers, coordinators, or dispatch staff.
Cleaning-history integrity
Only authorized users can create or adjust CleaningLog entries; validate cleanedAt and nextCleanDue in Cloud Code.
Scoped read access
Restrict distributor route and location visibility to the teams that need it, while keeping beer style data available where appropriate.
Schema (JSON)
Raw JSON schema definition ready to copy into Back4app or use as implementation reference.
{
"classes": [
{
"className": "User",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"username": {
"type": "String",
"required": true
},
"email": {
"type": "String",
"required": true
},
"password": {
"type": "String",
"required": true
},
"role": {
"type": "String",
"required": true
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
},
{
"className": "Brewery",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"breweryName": {
"type": "String",
"required": true
},
"location": {
"type": "String",
"required": true
},
"manager": {
"type": "Pointer",
"required": true,
"targetClass": "User"
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
},
{
"className": "Keg",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"kegTag": {
"type": "String",
"required": true
},
"beerStyle": {
"type": "String",
"required": true
},
"cleaningDate": {
"type": "Date",
"required": true
},
"brewery": {
"type": "Pointer",
"required": true,
"targetClass": "Brewery"
},
"distributorLocation": {
"type": "String",
"required": true
},
"status": {
"type": "String",
"required": true
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
},
{
"className": "CleaningLog",
"fields": {
"objectId": {
"type": "String",
"required": false
},
"keg": {
"type": "Pointer",
"required": true,
"targetClass": "Keg"
},
"cleanedBy": {
"type": "Pointer",
"required": true,
"targetClass": "User"
},
"cleaningDate": {
"type": "Date",
"required": true
},
"notes": {
"type": "String",
"required": false
},
"createdAt": {
"type": "Date",
"required": false
},
"updatedAt": {
"type": "Date",
"required": false
}
}
}
]
}Build with AI Agent
Use the Back4app AI Agent to generate a real microbrewery keg tracker app from this template, including frontend, backend, auth, and keg, cleaning, style, and distributor flows.
Create a microbrewery keg tracker app backend on Back4app with this exact schema and behavior. Schema: 1. User (use Back4app built-in): username, email, password; objectId, createdAt, updatedAt (system). 2. Keg: kegNumber (String, required, unique), beerStyle (Pointer to BeerStyle, required), cleaningDate (Date, required), nextCleanDue (Date, required), status (String, required), location (Pointer to Location), distributor (Pointer to Distributor); objectId, createdAt, updatedAt (system). 3. CleaningLog: keg (Pointer to Keg, required), cleanedBy (Pointer to User, required), cleanedAt (Date, required), notes (String), nextCleanDue (Date, required); objectId, createdAt, updatedAt (system). 4. BeerStyle: name (String, required), abv (Number, required), ibu (Number), seasonal (Boolean, required), notes (String); objectId, createdAt, updatedAt (system). 5. Distributor: name (String, required), phone (String), routeCode (String, required), location (Pointer to Location); objectId, createdAt, updatedAt (system). 6. Location: label (String, required), address (String), city (String, required), region (String); objectId, createdAt, updatedAt (system). Security: - Only authorized operations staff can update Keg, CleaningLog, and Distributor records. Validate cleaning dates in Cloud Code. Auth: - Sign-up, login, logout. Behavior: - List kegs, create cleaning logs, update keg status, and review beer style and distributor location details. Deliver: - Back4app app with schema, ACLs, CLPs; frontend for kegs, cleaning logs, beer styles, distributors, and locations.
Press the button below to open the Agent with this template prompt pre-filled.
This is the base prompt without a technology suffix. You can adapt the generated frontend stack afterward.
API Playground
Try REST and GraphQL endpoints against the keg tracker schema. Responses use mock data and do not require a Back4app account.
Uses the same schema as this template.
Choose Your Technology
Expand each card to see how to integrate Keg, CleaningLog, and BeerStyle with your chosen stack.
Flutter Keg Tracker Backend
React Keg Tracker Backend
React Native Keg Tracker Backend
Next.js Keg Tracker Backend
JavaScript Keg Tracker Backend
Android Keg Tracker Backend
iOS Keg Tracker Backend
Vue Keg Tracker Backend
Angular Keg Tracker Backend
GraphQL Keg Tracker Backend
REST API Keg Tracker Backend
PHP Keg Tracker Backend
.NET Keg Tracker Backend
What You Get with Every Technology
Every stack uses the same keg tracker backend schema and API contracts.
Unified brewery data structure
Manage kegs, cleaning logs, beer styles, distributors, and locations with one consistent schema.
Cleaning-date control for kegs
Track cleaningDate, cleanedAt, and nextCleanDue across every client.
Beer style and route visibility
Show style details and distributor location data wherever the keg is being handled.
Operational roles for brewery staff
Define access for managers, coordinators, and field staff without rebuilding the model.
Microbrewery Keg Tracker Framework Comparison
Compare setup speed, SDK style, and AI support across all supported technologies.
| Framework | Setup Time | Keg Tracker Benefit | SDK Type | AI Support |
|---|---|---|---|---|
| About 5 min | Single codebase for brewery operations on mobile and web. | Typed SDK | Full | |
| Under 5 minutes | Fast web dashboard for keg cleaning dates. | Typed SDK | Full | |
| ~3–7 min | Cross-platform mobile app for cellar and field staff. | Typed SDK | Full | |
| Rapid (5 min) setup | Server-rendered operations panel for kegs and distributors. | Typed SDK | Full | |
| ~3–5 min | Lightweight web integration for inventory checks. | Typed SDK | Full | |
| About 5 min | Native Android app for brewery field work. | Typed SDK | Full | |
| Under 5 minutes | Native iPhone app for keg status updates. | Typed SDK | Full | |
| ~3–7 min | Reactive web UI for taproom and cellar teams. | Typed SDK | Full | |
| Rapid (5 min) setup | Operations dashboard for brewery coordinators. | Typed SDK | Full | |
| Under 2 min | Flexible GraphQL API for keg tracker clients. | GraphQL API | Full | |
| Quick (2 min) setup | REST API integration for brewery workflows. | REST API | Full | |
| ~3 min | Server-side PHP integration for internal tools. | REST API | Full | |
| ~3–7 min | .NET app for brewery inventory and dispatch. | Typed SDK | Full |
Setup time reflects expected duration from project bootstrap to first keg or cleaning-log query using this template schema.
Frequently Asked Questions
Common questions about building a microbrewery keg tracker backend with this template.
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