Dashboard 2.0 - Implementation Guide

Overview

This guide provides step-by-step instructions for building Dashboard 2.0 from the POC through to production deployment. Each section includes specific tasks, acceptance criteria, and testing procedures.

Phase 0: POC Validation (Complete ✅)

Status: Complete Duration: 3 days Deliverable: Working proof of concept with real data

Completed Tasks

✅ Backend implementation (Python/Flask) ✅ Database schema (SQLite with 4 tables) ✅ tasklist.md parser (991 tasks imported) ✅ REST API (8 endpoints) ✅ Frontend implementation (Vanilla JS) ✅ Portfolio Overview (4-quadrant dashboard) ✅ Kanban Board (3 columns) ✅ Documentation (comprehensive README)

Validation Checklist

Run these tests to validate POC:

# 1. Backend health check
curl http://localhost:5000/api/health
# Expected: {"status": "ok", "timestamp": "..."}

# 2. Stats endpoint
curl http://localhost:5000/api/stats
# Expected: {"total": 991, "pending": X, "in_progress": Y, "completed": Z, "completion_rate": N}

# 3. Projects list
curl http://localhost:5000/api/projects
# Expected: Array of projects with task counts

# 4. Tasks with filtering
curl "http://localhost:5000/api/tasks?status=pending&priority=P0"
# Expected: Array of high-priority pending tasks

# 5. Frontend loads
open http://localhost:8080
# Expected: Dashboard renders with real data

Phase 1: Foundation Improvements (Weeks 1-2)

Goal: Production-ready backend and modern frontend framework Status: Pending ⏸️ Estimated Effort: 80 hours (2 developers × 2 weeks)

1.1 Backend Migration (Week 1)

Task: Migrate SQLite → PostgreSQL

Why: SQLite limited to ~100 concurrent users, lacks advanced features

Steps:

Install PostgreSQL locally

brew install postgresql@15  # macOS
# or
sudo apt-get install postgresql-15  # Linux

Create production database

createdb dashboard_2_0_dev

Add Alembic for migrations

pip install alembic psycopg2-binary
alembic init alembic

Create initial migration

# alembic/versions/001_initial_schema.py
def upgrade():
    op.create_table('projects',
        sa.Column('id', sa.Integer(), primary_key=True),
        sa.Column('name', sa.String(255), nullable=False, unique=True),
        sa.Column('category', sa.String(100)),
        sa.Column('description', sa.Text()),
        sa.Column('status', sa.String(50), default='active'),
        sa.Column('completion_percentage', sa.Integer(), default=0),
        sa.Column('created_at', sa.DateTime(), server_default=sa.func.now())
    )
    # ... repeat for tasks, task_dependencies, task_status_history

Run migration

alembic upgrade head

Testing:

All tables created successfully
Foreign key constraints enforced
Indexes created for performance
Sample data imports correctly

Acceptance Criteria:

✅ PostgreSQL database operational
✅ All 4 tables migrated
✅ Alembic migrations working
✅ Rollback tested successfully
✅ Performance benchmarks met (>1000 req/sec)

Task: Add JWT Authentication

Why: Secure API access, support multi-user

Steps:

Install dependencies

pip install flask-jwt-extended python-jose[cryptography] passlib[bcrypt]

Add users table

# New migration: 002_add_users.py
def upgrade():
    op.create_table('users',
        sa.Column('id', sa.Integer(), primary_key=True),
        sa.Column('email', sa.String(255), unique=True, nullable=False),
        sa.Column('hashed_password', sa.String(255), nullable=False),
        sa.Column('full_name', sa.String(255)),
        sa.Column('is_active', sa.Boolean(), default=True),
        sa.Column('created_at', sa.DateTime(), server_default=sa.func.now())
    )

Implement authentication endpoints

# api/auth.py
from flask_jwt_extended import create_access_token, jwt_required

@app.route('/api/auth/register', methods=['POST'])
def register():
    # Hash password, create user
    pass

@app.route('/api/auth/login', methods=['POST'])
def login():
    # Validate credentials, return JWT
    pass

@app.route('/api/auth/me', methods=['GET'])
@jwt_required()
def get_current_user():
    # Return user info
    pass

Protect existing endpoints

@app.route('/api/tasks', methods=['GET'])
@jwt_required()
def get_tasks():
    # Existing logic
    pass

Testing:

# Register user
curl -X POST http://localhost:5000/api/auth/register \
  -H "Content-Type: application/json" \
  -d '{"email": "test@example.com", "password": "secure123", "full_name": "Test User"}'

# Login
TOKEN=$(curl -X POST http://localhost:5000/api/auth/login \
  -H "Content-Type: application/json" \
  -d '{"email": "test@example.com", "password": "secure123"}' \
  | jq -r '.access_token')

# Access protected endpoint
curl http://localhost:5000/api/tasks \
  -H "Authorization: Bearer $TOKEN"

Acceptance Criteria:

✅ User registration working
✅ Login returns valid JWT
✅ JWT validates on protected routes
✅ Invalid tokens rejected (401)
✅ Token expiration enforced
✅ Password hashing secure (bcrypt)

Task: Add Request/Response Validation

Why: Prevent invalid data, improve API reliability

Steps:

Install Pydantic

pip install pydantic

Define request schemas

# schemas/task.py
from pydantic import BaseModel, Field
from typing import Optional
from datetime import datetime

class TaskCreate(BaseModel):
    project_id: int = Field(..., gt=0)
    title: str = Field(..., min_length=1, max_length=500)
    status: str = Field(..., regex='^(pending|in_progress|completed)$')
    priority: str = Field(..., regex='^P[0-3]$')
    phase: Optional[str] = Field(None, max_length=100)
    effort_hours: Optional[int] = Field(None, ge=0, le=1000)
    assignee: Optional[str] = Field(None, max_length=100)
    due_date: Optional[datetime] = None

class TaskUpdate(BaseModel):
    status: Optional[str] = Field(None, regex='^(pending|in_progress|completed)$')
    priority: Optional[str] = Field(None, regex='^P[0-3]$')
    assignee: Optional[str] = Field(None, max_length=100)
    comment: Optional[str] = Field(None, max_length=1000)

Use in endpoints

from pydantic import ValidationError

@app.route('/api/tasks', methods=['POST'])
@jwt_required()
def create_task():
    try:
        task_data = TaskCreate(**request.json)
    except ValidationError as e:
        return jsonify({'error': 'Validation failed', 'details': e.errors()}), 400

    # Create task with validated data
    conn = get_connection()
    cursor = conn.cursor()
    cursor.execute("""
        INSERT INTO tasks (project_id, title, status, priority, phase, effort_hours, assignee, due_date)
        VALUES (?, ?, ?, ?, ?, ?, ?, ?)
    """, (task_data.project_id, task_data.title, task_data.status, task_data.priority,
          task_data.phase, task_data.effort_hours, task_data.assignee, task_data.due_date))
    conn.commit()

    return jsonify({'success': True, 'task_id': cursor.lastrowid}), 201

Testing:

# Valid request
curl -X POST http://localhost:5000/api/tasks \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"project_id": 1, "title": "Test task", "status": "pending", "priority": "P1"}'

# Invalid priority (should fail)
curl -X POST http://localhost:5000/api/tasks \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"project_id": 1, "title": "Test task", "status": "pending", "priority": "P99"}'
# Expected: 400 with validation error

Acceptance Criteria:

✅ All request bodies validated
✅ Invalid data rejected with 400
✅ Clear error messages returned
✅ Type coercion working
✅ Optional fields handled correctly

1.2 Frontend Framework Migration (Week 2)

Task: Choose Framework (React vs Vue vs Svelte)

Decision Matrix:

Criteria	React	Vue	Svelte
Learning curve	Medium	Easy	Easy
Ecosystem	Excellent	Good	Growing
Performance	Good	Good	Excellent
TypeScript	Excellent	Good	Good
Community	Largest	Large	Medium
Job market	Best	Good	Growing

Recommendation: React for largest ecosystem and best TypeScript support

Task: Setup React + TypeScript + Vite

Steps:

Create React app

npm create vite@latest frontend -- --template react-ts
cd frontend
npm install

Install dependencies

npm install \
  @tanstack/react-query \
  axios \
  react-router-dom \
  @mui/material @emotion/react @emotion/styled \
  recharts \
  react-beautiful-dnd

Setup project structure

frontend/
├── src/
│   ├── api/           # API client
│   ├── components/    # Reusable components
│   ├── pages/         # Page components
│   ├── hooks/         # Custom hooks
│   ├── types/         # TypeScript types
│   ├── utils/         # Helper functions
│   └── App.tsx        # Main app component
├── public/
├── index.html
├── tsconfig.json
└── vite.config.ts

Create API client

// src/api/client.ts
import axios from 'axios';

const apiClient = axios.create({
  baseURL: import.meta.env.VITE_API_URL || 'http://localhost:5000',
  headers: {
    'Content-Type': 'application/json',
  },
});

// Add JWT token to requests
apiClient.interceptors.request.use((config) => {
  const token = localStorage.getItem('access_token');
  if (token) {
    config.headers.Authorization = `Bearer ${token}`;
  }
  return config;
});

export default apiClient;

Create type definitions

// src/types/task.ts
export interface Task {
  id: number;
  project_id: number;
  project_name: string;
  title: string;
  status: 'pending' | 'in_progress' | 'completed';
  priority: 'P0' | 'P1' | 'P2' | 'P3';
  phase: string;
  effort_hours: number | null;
  assignee: string | null;
  due_date: string | null;
  created_at: string;
}

export interface Project {
  id: number;
  name: string;
  category: string;
  status: string;
  task_count: number;
  completed_count: number;
  completion_percentage: number;
}

Create React Query hooks

// src/hooks/useTasks.ts
import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query';
import apiClient from '../api/client';
import { Task } from '../types/task';

export const useTasks = (filters?: {
  project_id?: number;
  status?: string;
  priority?: string;
}) => {
  return useQuery({
    queryKey: ['tasks', filters],
    queryFn: async () => {
      const params = new URLSearchParams();
      if (filters?.project_id) params.append('project_id', filters.project_id.toString());
      if (filters?.status) params.append('status', filters.status);
      if (filters?.priority) params.append('priority', filters.priority);

      const { data } = await apiClient.get<Task[]>(`/api/tasks?${params}`);
      return data;
    },
  });
};

export const useUpdateTask = () => {
  const queryClient = useQueryClient();

  return useMutation({
    mutationFn: async ({ id, updates }: { id: number; updates: Partial<Task> }) => {
      const { data } = await apiClient.patch(`/api/tasks/${id}`, updates);
      return data;
    },
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['tasks'] });
    },
  });
};

Create Portfolio component

// src/pages/PortfolioView.tsx
import React from 'react';
import { Grid, Card, CardContent, Typography, CircularProgress } from '@mui/material';
import { useTasks } from '../hooks/useTasks';
import { useProjects } from '../hooks/useProjects';

export const PortfolioView: React.FC = () => {
  const { data: tasks, isLoading } = useTasks();
  const { data: projects } = useProjects();

  if (isLoading) return <CircularProgress />;

  const stats = {
    total: tasks?.length || 0,
    completed: tasks?.filter(t => t.status === 'completed').length || 0,
    inProgress: tasks?.filter(t => t.status === 'in_progress').length || 0,
    pending: tasks?.filter(t => t.status === 'pending').length || 0,
  };

  const completionRate = stats.total > 0
    ? Math.round((stats.completed / stats.total) * 100)
    : 0;

  return (
    <div>
      <Typography variant="h4" gutterBottom>
        Portfolio Overview
      </Typography>

      <Grid container spacing={3}>
        {/* Overall Progress */}
        <Grid item xs={12} md={6}>
          <Card>
            <CardContent>
              <Typography variant="h6">📊 Overall Progress</Typography>
              <Typography variant="h2">{completionRate}%</Typography>
              <Typography color="textSecondary">
                {stats.completed} / {stats.total} tasks
              </Typography>
            </CardContent>
          </Card>
        </Grid>

        {/* At Risk */}
        <Grid item xs={12} md={6}>
          <Card>
            <CardContent>
              <Typography variant="h6">⚠️ At Risk</Typography>
              <Typography variant="h2">
                {tasks?.filter(t => t.status === 'pending' && t.priority === 'P0').length || 0}
              </Typography>
              <Typography color="textSecondary">projects need attention</Typography>
            </CardContent>
          </Card>
        </Grid>

        {/* Additional cards... */}
      </Grid>
    </div>
  );
};

Testing:

npm run dev
# Open http://localhost:5173

Acceptance Criteria:

✅ React + TypeScript + Vite setup complete
✅ API client configured with JWT
✅ React Query for data fetching
✅ Type safety throughout
✅ Hot module replacement working
✅ All POC features replicated

Phase 2: Feature Enhancements (Weeks 3-4)

Goal: Real-time updates, advanced UI, charting Status: Pending ⏸️ Estimated Effort: 80 hours (2 developers × 2 weeks)

2.1 WebSocket Integration (Week 3)

Task: Add Real-Time Updates

Why: Users see changes instantly, no polling required

Steps:

Install Flask-SocketIO

pip install flask-socketio python-socketio

Setup WebSocket server

# api.py
from flask_socketio import SocketIO, emit

socketio = SocketIO(app, cors_allowed_origins="*")

@socketio.on('connect')
def handle_connect():
    print('Client connected')
    emit('connected', {'data': 'Connected to server'})

@socketio.on('subscribe_project')
def handle_subscribe(data):
    project_id = data['project_id']
    join_room(f'project_{project_id}')
    emit('subscribed', {'project_id': project_id})

# Emit task updates
def emit_task_update(task_id, task_data):
    socketio.emit('task_updated', {
        'task_id': task_id,
        'task': task_data
    }, room=f'project_{task_data["project_id"]}')

if __name__ == '__main__':
    socketio.run(app, debug=True, port=5000)

Frontend WebSocket client

// src/api/websocket.ts
import { io, Socket } from 'socket.io-client';

class WebSocketClient {
  private socket: Socket;

  constructor() {
    this.socket = io('http://localhost:5000', {
      auth: {
        token: localStorage.getItem('access_token'),
      },
    });

    this.socket.on('connect', () => {
      console.log('WebSocket connected');
    });
  }

  subscribeToProject(projectId: number) {
    this.socket.emit('subscribe_project', { project_id: projectId });
  }

  onTaskUpdate(callback: (data: any) => void) {
    this.socket.on('task_updated', callback);
  }
}

export const wsClient = new WebSocketClient();

Use in React components

// src/hooks/useRealtimeTasks.ts
import { useEffect } from 'react';
import { useQueryClient } from '@tanstack/react-query';
import { wsClient } from '../api/websocket';

export const useRealtimeTasks = (projectId?: number) => {
  const queryClient = useQueryClient();

  useEffect(() => {
    if (projectId) {
      wsClient.subscribeToProject(projectId);
    }

    wsClient.onTaskUpdate((data) => {
      queryClient.invalidateQueries({ queryKey: ['tasks'] });
    });
  }, [projectId, queryClient]);
};

Testing:

Open dashboard in two browser windows
Update task in window 1
Verify window 2 updates instantly
Test with 10+ concurrent connections
Verify no memory leaks

Acceptance Criteria:

✅ WebSocket connection established
✅ Task updates propagate in <1 second
✅ Subscriptions per project working
✅ Reconnection logic implemented
✅ Handles 100+ concurrent connections

2.2 Drag-and-Drop Kanban (Week 3)

Task: Implement Drag-and-Drop

Steps:

Install react-beautiful-dnd

npm install react-beautiful-dnd @types/react-beautiful-dnd

Create draggable Kanban

// src/components/KanbanBoard.tsx
import { DragDropContext, Droppable, Draggable, DropResult } from 'react-beautiful-dnd';
import { useUpdateTask } from '../hooks/useTasks';

export const KanbanBoard: React.FC = () => {
  const { data: tasks } = useTasks();
  const updateTask = useUpdateTask();

  const handleDragEnd = (result: DropResult) => {
    if (!result.destination) return;

    const { draggableId, destination } = result;
    const taskId = parseInt(draggableId);
    const newStatus = destination.droppableId as Task['status'];

    updateTask.mutate({
      id: taskId,
      updates: { status: newStatus },
    });
  };

  const tasksByStatus = {
    pending: tasks?.filter(t => t.status === 'pending') || [],
    in_progress: tasks?.filter(t => t.status === 'in_progress') || [],
    completed: tasks?.filter(t => t.status === 'completed') || [],
  };

  return (
    <DragDropContext onDragEnd={handleDragEnd}>
      <Grid container spacing={2}>
        {(['pending', 'in_progress', 'completed'] as const).map((status) => (
          <Grid item xs={12} md={4} key={status}>
            <Droppable droppableId={status}>
              {(provided) => (
                <div
                  ref={provided.innerRef}
                  {...provided.droppableProps}
                  style={{ minHeight: 400, background: '#f5f5f5', padding: 16 }}
                >
                  <Typography variant="h6">
                    {status.replace('_', ' ').toUpperCase()}
                  </Typography>

                  {tasksByStatus[status].map((task, index) => (
                    <Draggable
                      key={task.id}
                      draggableId={task.id.toString()}
                      index={index}
                    >
                      {(provided) => (
                        <Card
                          ref={provided.innerRef}
                          {...provided.draggableProps}
                          {...provided.dragHandleProps}
                          style={{
                            marginBottom: 8,
                            ...provided.draggableProps.style,
                          }}
                        >
                          <CardContent>
                            <Typography>{task.title}</Typography>
                            <Chip label={task.priority} size="small" />
                          </CardContent>
                        </Card>
                      )}
                    </Draggable>
                  ))}

                  {provided.placeholder}
                </div>
              )}
            </Droppable>
          </Grid>
        ))}
      </Grid>
    </DragDropContext>
  );
};

Testing:

Acceptance Criteria:

✅ Drag and drop working
✅ Status updates persisted
✅ Real-time updates via WebSocket
✅ Mobile touch support
✅ Keyboard navigation (accessibility)

2.3 Analytics Charts (Week 4)

Task: Add Chart.js Visualizations

Steps:

Install Recharts

npm install recharts

Create velocity chart

// src/components/VelocityChart.tsx
import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend } from 'recharts';
import { useTaskHistory } from '../hooks/useTaskHistory';

export const VelocityChart: React.FC = () => {
  const { data: history } = useTaskHistory();

  const chartData = history?.map(day => ({
    date: day.date,
    completed: day.completed_count,
    target: day.target_count,
  })) || [];

  return (
    <Card>
      <CardContent>
        <Typography variant="h6">Task Velocity</Typography>
        <LineChart width={800} height={400} data={chartData}>
          <CartesianGrid strokeDasharray="3 3" />
          <XAxis dataKey="date" />
          <YAxis />
          <Tooltip />
          <Legend />
          <Line type="monotone" dataKey="completed" stroke="#00AA55" />
          <Line type="monotone" dataKey="target" stroke="#0066CC" strokeDasharray="5 5" />
        </LineChart>
      </CardContent>
    </Card>
  );
};

Create burndown chart

// src/components/BurndownChart.tsx
export const BurndownChart: React.FC<{ projectId: number }> = ({ projectId }) => {
  const { data: burndown } = useBurndown(projectId);

  return (
    <AreaChart width={800} height={400} data={burndown}>
      <CartesianGrid strokeDasharray="3 3" />
      <XAxis dataKey="date" />
      <YAxis />
      <Tooltip />
      <Area type="monotone" dataKey="remaining" stroke="#CC0000" fill="#FFE6E6" />
      <Area type="monotone" dataKey="ideal" stroke="#0066CC" fill="transparent" strokeDasharray="5 5" />
    </AreaChart>
  );
};

Testing:

Acceptance Criteria:

✅ Velocity chart showing daily completion
✅ Burndown chart per project
✅ Priority distribution pie chart
✅ Phase progress bar chart
✅ Export functionality

Phase 3: Production Readiness (Weeks 5-6)

Goal: Deploy to production with monitoring Status: Pending ⏸️ Estimated Effort: 80 hours (2 developers + 1 DevOps × 2 weeks)

3.1 Docker Containerization (Week 5)

Task: Create Docker Images

Steps:

Backend Dockerfile

# backend/Dockerfile
FROM python:3.11-slim

WORKDIR /app

# Install dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy application
COPY . .

EXPOSE 5000

CMD ["gunicorn", "--worker-class", "eventlet", "-w", "1", "--bind", "0.0.0.0:5000", "api:app"]

Frontend Dockerfile

# frontend/Dockerfile
FROM node:18-alpine AS builder

WORKDIR /app
COPY package*.json ./
RUN npm ci

COPY . .
RUN npm run build

FROM nginx:alpine
COPY --from=builder /app/dist /usr/share/nginx/html
COPY nginx.conf /etc/nginx/conf.d/default.conf

EXPOSE 80

Docker Compose

# docker-compose.yml
version: '3.8'

services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_DB: dashboard_2_0
      POSTGRES_USER: dashboard
      POSTGRES_PASSWORD: ${DB_PASSWORD}
    volumes:
      - postgres_data:/var/lib/postgresql/data
    ports:
      - "5432:5432"

  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"

  backend:
    build: ./backend
    environment:
      DATABASE_URL: postgresql://dashboard:${DB_PASSWORD}@postgres:5432/dashboard_2_0
      REDIS_URL: redis://redis:6379/0
      JWT_SECRET: ${JWT_SECRET}
    depends_on:
      - postgres
      - redis
    ports:
      - "5000:5000"

  frontend:
    build: ./frontend
    environment:
      VITE_API_URL: http://backend:5000
    depends_on:
      - backend
    ports:
      - "80:80"

volumes:
  postgres_data:

Build and run

docker-compose up --build

Testing:

# Build images
docker-compose build

# Start services
docker-compose up -d

# Check health
curl http://localhost:5000/api/health
curl http://localhost/

# View logs
docker-compose logs -f backend

# Stop services
docker-compose down

Acceptance Criteria:

✅ All services containerized
✅ Docker Compose working locally
✅ Environment variables configured
✅ Volumes for data persistence
✅ Health checks implemented

3.2 Kubernetes Deployment (Week 6)

Task: Deploy to GKE

Steps:

Create Kubernetes manifests

# k8s/backend-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: dashboard-backend
spec:
  replicas: 3
  selector:
    matchLabels:
      app: dashboard-backend
  template:
    metadata:
      labels:
        app: dashboard-backend
    spec:
      containers:
      - name: backend
        image: gcr.io/your-project/dashboard-backend:latest
        ports:
        - containerPort: 5000
        env:
        - name: DATABASE_URL
          valueFrom:
            secretKeyRef:
              name: dashboard-secrets
              key: database-url
        resources:
          requests:
            memory: "256Mi"
            cpu: "250m"
          limits:
            memory: "512Mi"
            cpu: "500m"
        livenessProbe:
          httpGet:
            path: /api/health
            port: 5000
          initialDelaySeconds: 30
          periodSeconds: 10
        readinessProbe:
          httpGet:
            path: /api/health
            port: 5000
          initialDelaySeconds: 5
          periodSeconds: 5

Deploy to GKE

# Create GKE cluster
gcloud container clusters create dashboard-cluster \
  --zone us-central1-a \
  --num-nodes 3 \
  --machine-type n1-standard-2

# Build and push images
docker build -t gcr.io/your-project/dashboard-backend:latest ./backend
docker push gcr.io/your-project/dashboard-backend:latest

# Apply Kubernetes manifests
kubectl apply -f k8s/

# Check deployment
kubectl get pods
kubectl get services

Acceptance Criteria:

✅ GKE cluster operational
✅ Backend and frontend deployed
✅ Load balancer configured
✅ Auto-scaling enabled
✅ Rolling updates tested

Summary

Effort Estimation

Phase	Duration	Developers	Total Hours	Cost @ $100/hr
Phase 1	2 weeks	2	160 hrs	$16,000
Phase 2	2 weeks	2	160 hrs	$16,000
Phase 3	2 weeks	2 + 1 DevOps	240 hrs	$24,000
Phase 4	2 weeks	2	160 hrs	$16,000
Phase 5	2 weeks	2 + 1 QA	240 hrs	$24,000
Total	10 weeks	2-3	960 hrs	$96,000

Timeline

Week 1-2:  PostgreSQL, JWT, Pydantic, React setup
Week 3-4:  WebSockets, drag-and-drop, charts
Week 5-6:  Docker, Kubernetes, monitoring
Week 7-8:  Multi-tenant, RBAC, notifications
Week 9-10: CI/CD, performance tuning, testing

Success Metrics

Performance:

Response time: <200ms (p95)
Throughput: >1000 req/sec
Uptime: 99.9%

Quality:

Test coverage: >80%
No critical bugs
Accessibility: WCAG AA

User Experience:

Page load: <2 seconds
Real-time updates: <1 second
Mobile responsive

Last Updated: 2025-11-27 Next Review: End of Phase 1

Overview​

Phase 0: POC Validation (Complete ✅)​

Completed Tasks​

Validation Checklist​

Phase 1: Foundation Improvements (Weeks 1-2)​

1.1 Backend Migration (Week 1)​

Task: Migrate SQLite → PostgreSQL​

Task: Add JWT Authentication​

Task: Add Request/Response Validation​

1.2 Frontend Framework Migration (Week 2)​

Task: Choose Framework (React vs Vue vs Svelte)​

Task: Setup React + TypeScript + Vite​

Phase 2: Feature Enhancements (Weeks 3-4)​

2.1 WebSocket Integration (Week 3)​

Task: Add Real-Time Updates​

2.2 Drag-and-Drop Kanban (Week 3)​

Task: Implement Drag-and-Drop​

2.3 Analytics Charts (Week 4)​

Task: Add Chart.js Visualizations​

Phase 3: Production Readiness (Weeks 5-6)​

3.1 Docker Containerization (Week 5)​

Task: Create Docker Images​

3.2 Kubernetes Deployment (Week 6)​

Task: Deploy to GKE​

Summary​

Effort Estimation​

Timeline​

Success Metrics​

Overview

Phase 0: POC Validation (Complete ✅)

Completed Tasks

Validation Checklist

Phase 1: Foundation Improvements (Weeks 1-2)

1.1 Backend Migration (Week 1)

Task: Migrate SQLite → PostgreSQL

Task: Add JWT Authentication

Task: Add Request/Response Validation

1.2 Frontend Framework Migration (Week 2)

Task: Choose Framework (React vs Vue vs Svelte)

Task: Setup React + TypeScript + Vite

Phase 2: Feature Enhancements (Weeks 3-4)

2.1 WebSocket Integration (Week 3)

Task: Add Real-Time Updates

2.2 Drag-and-Drop Kanban (Week 3)

Task: Implement Drag-and-Drop

2.3 Analytics Charts (Week 4)

Task: Add Chart.js Visualizations

Phase 3: Production Readiness (Weeks 5-6)

3.1 Docker Containerization (Week 5)

Task: Create Docker Images

3.2 Kubernetes Deployment (Week 6)

Task: Deploy to GKE

Summary

Effort Estimation

Timeline

Success Metrics