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bakery-ia/docs/PILOT_LAUNCH_GUIDE.md
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# Bakery-IA Pilot Launch Guide
**Complete guide for deploying to production for a 10-tenant pilot program**
**Last Updated:** 2026-01-07
**Target Environment:** clouding.io VPS with MicroK8s
**Estimated Cost:** €41-81/month
**Time to Deploy:** 2-4 hours (first time)
---
## Table of Contents
1. [Executive Summary](#executive-summary)
2. [Pre-Launch Checklist](#pre-launch-checklist)
3. [VPS Provisioning](#vps-provisioning)
4. [Infrastructure Setup](#infrastructure-setup)
5. [Domain & DNS Configuration](#domain--dns-configuration)
6. [TLS/SSL Certificates](#tlsssl-certificates)
7. [Email & Communication Setup](#email--communication-setup)
8. [Kubernetes Deployment](#kubernetes-deployment)
9. [Configuration & Secrets](#configuration--secrets)
10. [Database Migrations](#database-migrations)
11. [Verification & Testing](#verification--testing)
12. [Post-Deployment](#post-deployment)
---
## Executive Summary
### What You're Deploying
A complete multi-tenant SaaS platform with:
- **18 microservices** (auth, tenant, ML forecasting, inventory, sales, orders, etc.)
- **14 PostgreSQL databases** with TLS encryption
- **Redis cache** with TLS
- **RabbitMQ** message broker
- **Monitoring stack** (Prometheus, Grafana, AlertManager)
- **Full security** (TLS, RBAC, audit logging)
### Total Cost Breakdown
| Service | Provider | Monthly Cost |
|---------|----------|-------------|
| VPS Server (20GB RAM, 8 vCPU, 200GB SSD) | clouding.io | €40-80 |
| Domain | Namecheap/Cloudflare | €1.25 (€15/year) |
| Email | Zoho Free / Gmail | €0 |
| WhatsApp API | Meta Business | €0 (1k free conversations) |
| DNS | Cloudflare | €0 |
| SSL | Let's Encrypt | €0 |
| **TOTAL** | | **€41-81/month** |
### Timeline
| Phase | Duration | Description |
|-------|----------|-------------|
| Pre-Launch Setup | 1-2 hours | Domain, VPS provisioning, accounts setup |
| Infrastructure Setup | 1 hour | MicroK8s installation, firewall config |
| Deployment | 30-60 min | Deploy all services and databases |
| Verification | 30-60 min | Test everything works |
| **Total** | **2-4 hours** | First-time deployment |
---
## Pre-Launch Checklist
### Required Accounts & Services
- [ ] **Domain Name**
- Register at Namecheap or Cloudflare (€10-15/year)
- Suggested: `bakeryforecast.es` or `bakery-ia.com`
- [ ] **VPS Account**
- Sign up at [clouding.io](https://www.clouding.io)
- Payment method configured
- [ ] **Email Service** (Choose ONE)
- Option A: Zoho Mail FREE (recommended for full send/receive)
- Option B: Gmail SMTP + domain forwarding
- Option C: Google Workspace (14-day free trial, then €5.75/month)
- [ ] **WhatsApp Business API**
- Create Meta Business Account (free)
- Verify business identity
- Phone number ready (non-VoIP)
- [ ] **DNS Access**
- Cloudflare account (free, recommended)
- Or domain registrar DNS panel access
- [ ] **Container Registry** (Choose ONE)
- Option A: Docker Hub account (recommended)
- Option B: GitHub Container Registry
- Option C: MicroK8s built-in registry
### Required Tools on Local Machine
```bash
# Verify you have these installed:
kubectl version --client
docker --version
git --version
ssh -V
openssl version
# Install if missing (macOS):
brew install kubectl docker git openssh openssl
```
### Repository Setup
```bash
# Clone the repository
git clone https://github.com/yourusername/bakery-ia.git
cd bakery-ia
# Verify structure
ls infrastructure/kubernetes/overlays/prod/
```
---
## VPS Provisioning
### Recommended Configuration
**For 10-tenant pilot program:**
- **RAM:** 20 GB
- **CPU:** 8 vCPU cores
- **Storage:** 200 GB NVMe SSD (triple replica)
- **Network:** 1 Gbps connection
- **OS:** Ubuntu 22.04 LTS
- **Monthly Cost:** €40-80 (check current pricing)
### Why These Specs?
**Memory Breakdown:**
- Application services: 14.1 GB
- Databases (18 instances): 4.6 GB
- Infrastructure (Redis, RabbitMQ): 0.8 GB
- Gateway/Frontend: 1.8 GB
- Monitoring: 1.5 GB
- System overhead: ~3 GB
- **Total:** ~26 GB capacity needed, 20 GB is sufficient with HPA
**Storage Breakdown:**
- Databases: 36 GB (18 × 2GB)
- ML Models: 10 GB
- Redis: 1 GB
- RabbitMQ: 2 GB
- Prometheus metrics: 20 GB
- Container images: ~30 GB
- Growth buffer: 100 GB
- **Total:** 199 GB
### Provisioning Steps
1. **Create VPS at clouding.io:**
```
1. Log in to clouding.io dashboard
2. Click "Create New Server"
3. Select:
- OS: Ubuntu 22.04 LTS
- RAM: 20 GB
- CPU: 8 vCPU
- Storage: 200 GB NVMe SSD
- Location: Barcelona (best for Spain)
4. Set hostname: bakery-ia-prod-01
5. Add SSH key (or use password)
6. Create server
```
2. **Note your server details:**
```bash
# Save these for later:
VPS_IP="YOUR_VPS_IP_ADDRESS"
VPS_ROOT_PASSWORD="YOUR_ROOT_PASSWORD" # If not using SSH key
```
3. **Initial SSH connection:**
```bash
# Test connection
ssh root@$VPS_IP
# Update system
apt update && apt upgrade -y
```
---
## Infrastructure Setup
### Step 1: Install MicroK8s
```bash
# SSH into your VPS
ssh root@$VPS_IP
# Install MicroK8s
snap install microk8s --classic --channel=1.28/stable
# Add your user to microk8s group
usermod -a -G microk8s $USER
chown -f -R $USER ~/.kube
newgrp microk8s
# Verify installation
microk8s status --wait-ready
```
### Step 2: Enable Required Add-ons
```bash
# Enable core add-ons
microk8s enable dns
microk8s enable hostpath-storage
microk8s enable ingress
microk8s enable cert-manager
microk8s enable metrics-server
microk8s enable rbac
# Optional but recommended
microk8s enable prometheus # For monitoring
microk8s enable registry # If using local registry
# Setup kubectl alias
echo "alias kubectl='microk8s kubectl'" >> ~/.bashrc
source ~/.bashrc
# Verify
kubectl get nodes
kubectl get pods -A
```
### Step 3: Configure Firewall
```bash
# Allow necessary ports
ufw allow 22/tcp # SSH
ufw allow 80/tcp # HTTP
ufw allow 443/tcp # HTTPS
ufw allow 16443/tcp # Kubernetes API (optional)
# Enable firewall
ufw enable
# Check status
ufw status verbose
```
### Step 4: Create Namespace
```bash
# Create bakery-ia namespace
kubectl create namespace bakery-ia
# Verify
kubectl get namespaces
```
---
## Domain & DNS Configuration
### Step 1: Register Domain
1. Go to Namecheap or Cloudflare Registrar
2. Search for your desired domain
3. Complete purchase (~€10-15/year)
4. Save domain credentials
### Step 2: Configure Cloudflare DNS (Recommended)
1. **Add site to Cloudflare:**
```
1. Log in to Cloudflare
2. Click "Add a Site"
3. Enter your domain name
4. Choose Free plan
5. Cloudflare will scan existing DNS records
```
2. **Update nameservers at registrar:**
```
Point your domain's nameservers to Cloudflare:
- NS1: assigned.cloudflare.com
- NS2: assigned.cloudflare.com
(Cloudflare will provide the exact values)
```
3. **Add DNS records:**
```
Type Name Content TTL Proxy
A @ YOUR_VPS_IP Auto Yes
A www YOUR_VPS_IP Auto Yes
A api YOUR_VPS_IP Auto Yes
A monitoring YOUR_VPS_IP Auto Yes
CNAME * yourdomain.com Auto No
```
4. **Configure SSL/TLS mode:**
```
SSL/TLS tab → Overview → Set to "Full (strict)"
```
5. **Test DNS propagation:**
```bash
# Wait 5-10 minutes, then test
nslookup yourdomain.com
nslookup api.yourdomain.com
```
---
## TLS/SSL Certificates
### Understanding Certificate Setup
The platform uses **two layers** of SSL/TLS:
1. **External (Ingress) SSL:** Let's Encrypt for public HTTPS
2. **Internal (Database) SSL:** Self-signed certificates for database connections
### Step 1: Generate Internal Certificates
```bash
# On your local machine
cd infrastructure/tls
# Generate certificates
./generate-certificates.sh
# This creates:
# - ca/ (Certificate Authority)
# - postgres/ (PostgreSQL server certs)
# - redis/ (Redis server certs)
```
**Certificate Details:**
- Root CA: 10-year validity (expires 2035)
- Server certs: 3-year validity (expires October 2028)
- Algorithm: RSA 4096-bit
- Signature: SHA-256
### Step 2: Create Kubernetes Secrets
```bash
# Create PostgreSQL TLS secret
kubectl create secret generic postgres-tls \
--from-file=server-cert.pem=infrastructure/tls/postgres/server-cert.pem \
--from-file=server-key.pem=infrastructure/tls/postgres/server-key.pem \
--from-file=ca-cert.pem=infrastructure/tls/postgres/ca-cert.pem \
-n bakery-ia
# Create Redis TLS secret
kubectl create secret generic redis-tls \
--from-file=redis-cert.pem=infrastructure/tls/redis/redis-cert.pem \
--from-file=redis-key.pem=infrastructure/tls/redis/redis-key.pem \
--from-file=ca-cert.pem=infrastructure/tls/redis/ca-cert.pem \
-n bakery-ia
# Verify secrets created
kubectl get secrets -n bakery-ia | grep tls
```
### Step 3: Configure Let's Encrypt (External SSL)
cert-manager is already enabled. Configure the ClusterIssuer:
```bash
# On VPS, create ClusterIssuer
cat <<EOF | kubectl apply -f -
apiVersion: cert-manager.io/v1
kind: ClusterIssuer
metadata:
name: letsencrypt-production
spec:
acme:
server: https://acme-v02.api.letsencrypt.org/directory
email: admin@yourdomain.com # CHANGE THIS
privateKeySecretRef:
name: letsencrypt-production
solvers:
- http01:
ingress:
class: public
EOF
# Verify ClusterIssuer is ready
kubectl get clusterissuer
kubectl describe clusterissuer letsencrypt-production
```
---
## Email & Communication Setup
### Option A: Zoho Mail (FREE, Recommended)
**Features:**
- ✅ Free forever for 1 domain, 5 users
- ✅ 5GB storage per user
- ✅ Full send/receive capability
- ✅ Web interface + SMTP/IMAP
- ✅ Professional email addresses
**Setup Steps:**
1. **Sign up for Zoho Mail:**
```
1. Go to https://www.zoho.com/mail/
2. Click "Sign Up for Free"
3. Choose "Forever Free" plan
4. Enter your domain name
5. Complete verification
```
2. **Verify domain ownership:**
```
Add TXT record to your DNS:
Type: TXT
Name: @
Value: zoho-verification=XXXXX.zoho.com
```
3. **Configure MX records:**
```
Priority Type Name Value
10 MX @ mx.zoho.com
20 MX @ mx2.zoho.com
50 MX @ mx3.zoho.com
```
4. **Get SMTP credentials:**
```
SMTP Host: smtp.zoho.com
SMTP Port: 587
SMTP Username: noreply@yourdomain.com
SMTP Password: (generate app password in Zoho settings)
```
### Option B: Gmail SMTP + Forwarding
**Features:**
- ✅ Completely free
- ✅ 500 emails/day (sufficient for pilot)
- ✅ Receive via domain forwarding
**Setup Steps:**
1. **Enable 2FA on your Gmail:**
```
1. Go to myaccount.google.com
2. Security → 2-Step Verification
3. Enable and complete setup
```
2. **Generate app password:**
```
1. Security → 2-Step Verification → App passwords
2. Select "Mail" and "Other (Custom name)"
3. Name it "Bakery-IA SMTP"
4. Copy the 16-character password
```
3. **Configure domain email forwarding:**
```
At your domain registrar or Cloudflare:
- Forward noreply@yourdomain.com → your.gmail@gmail.com
- Forward alerts@yourdomain.com → your.gmail@gmail.com
```
4. **SMTP Settings:**
```
SMTP Host: smtp.gmail.com
SMTP Port: 587
SMTP Username: your.gmail@gmail.com
SMTP Password: (16-char app password from step 2)
From Email: noreply@yourdomain.com
```
### WhatsApp Business API Setup
**Features:**
- ✅ First 1,000 conversations/month FREE
- ✅ Perfect for 10 tenants (~500 messages/month)
**Setup Steps:**
1. **Create Meta Business Account:**
```
1. Go to business.facebook.com
2. Create Business Account
3. Complete business verification
```
2. **Add WhatsApp Product:**
```
1. Go to developers.facebook.com
2. Create New App → Business
3. Add WhatsApp product
4. Complete setup wizard
```
3. **Configure Phone Number:**
```
1. Test with your personal number initially
2. Later: Get dedicated business number
3. Verify phone number with SMS code
```
4. **Create Message Templates:**
```
1. Go to WhatsApp Manager
2. Create templates for:
- Low inventory alert
- Expired product alert
- Forecast summary
- Order notification
3. Submit for approval (15 min - 24 hours)
```
5. **Get API Credentials:**
```
Save these values:
- Phone Number ID: (from WhatsApp Manager)
- Access Token: (from App Dashboard)
- Business Account ID: (from WhatsApp Manager)
- Webhook Verify Token: (create your own secure string)
```
---
## Kubernetes Deployment
### Step 1: Prepare Container Images
#### Option A: Using Docker Hub (Recommended)
```bash
# On your local machine
docker login
# Build all images
docker-compose build
# Tag images for Docker Hub
# Replace YOUR_USERNAME with your Docker Hub username
export DOCKER_USERNAME="YOUR_USERNAME"
./scripts/tag-images.sh $DOCKER_USERNAME
# Push to Docker Hub
./scripts/push-images.sh $DOCKER_USERNAME
# Update prod kustomization with your username
# Edit: infrastructure/kubernetes/overlays/prod/kustomization.yaml
# Replace all "bakery/" with "$DOCKER_USERNAME/"
```
#### Option B: Using MicroK8s Registry
```bash
# On VPS
microk8s enable registry
# Get registry address (usually localhost:32000)
kubectl get service -n container-registry
# On local machine, configure insecure registry
# Edit /etc/docker/daemon.json:
{
"insecure-registries": ["YOUR_VPS_IP:32000"]
}
# Restart Docker
sudo systemctl restart docker
# Tag and push images
docker tag bakery/auth-service YOUR_VPS_IP:32000/bakery/auth-service
docker push YOUR_VPS_IP:32000/bakery/auth-service
# Repeat for all services...
```
### Step 2: Update Production Configuration
The production configuration is already set up for **bakewise.ai** domain:
**Production URLs:**
- **Main Application:** https://bakewise.ai
- **API Endpoints:** https://bakewise.ai/api/v1/...
- **Monitoring Dashboard:** https://monitoring.bakewise.ai/grafana
- **Prometheus:** https://monitoring.bakewise.ai/prometheus
- **SigNoz (Traces/Metrics/Logs):** https://monitoring.bakewise.ai/signoz
- **AlertManager:** https://monitoring.bakewise.ai/alertmanager
```bash
# Verify the configuration is correct:
cat infrastructure/kubernetes/overlays/prod/prod-ingress.yaml | grep -A 3 "host:"
# Expected output should show:
# - host: bakewise.ai
# - host: monitoring.bakewise.ai
# Verify CORS configuration
cat infrastructure/kubernetes/overlays/prod/prod-configmap.yaml | grep CORS
# Expected: CORS_ORIGINS: "https://bakewise.ai"
```
**If using a different domain**, update these files:
```bash
# 1. Update domain names
nano infrastructure/kubernetes/overlays/prod/prod-ingress.yaml
# Replace bakewise.ai with your domain
# 2. Update ConfigMap
nano infrastructure/kubernetes/overlays/prod/prod-configmap.yaml
# Update CORS_ORIGINS
# 3. Verify image names (if using custom registry)
nano infrastructure/kubernetes/overlays/prod/kustomization.yaml
```
---
## Configuration & Secrets
### Step 1: Generate Strong Passwords
```bash
# Generate passwords for all services
openssl rand -base64 32 # For each database
openssl rand -hex 32 # For JWT secrets and API keys
# Save all passwords securely!
# Recommended: Use a password manager (1Password, LastPass, Bitwarden)
```
### Step 2: Update Application Secrets
```bash
# Edit the secrets file
nano infrastructure/kubernetes/base/secrets.yaml
# Update ALL of these values:
# Database passwords (14 databases):
AUTH_DB_PASSWORD: <base64-encoded-password>
TENANT_DB_PASSWORD: <base64-encoded-password>
# ... (all 14 databases)
# Redis password:
REDIS_PASSWORD: <base64-encoded-password>
# JWT secrets:
JWT_SECRET_KEY: <base64-encoded-secret>
JWT_REFRESH_SECRET_KEY: <base64-encoded-secret>
# SMTP settings (from email setup):
SMTP_HOST: <base64-encoded-host> # smtp.zoho.com or smtp.gmail.com
SMTP_PORT: <base64-encoded-port> # 587
SMTP_USERNAME: <base64-encoded-username> # your email
SMTP_PASSWORD: <base64-encoded-password> # app password
DEFAULT_FROM_EMAIL: <base64-encoded-email> # noreply@yourdomain.com
# WhatsApp credentials (from WhatsApp setup):
WHATSAPP_ACCESS_TOKEN: <base64-encoded-token>
WHATSAPP_PHONE_NUMBER_ID: <base64-encoded-id>
WHATSAPP_BUSINESS_ACCOUNT_ID: <base64-encoded-id>
WHATSAPP_WEBHOOK_VERIFY_TOKEN: <base64-encoded-token>
# Database connection strings (update with actual passwords):
AUTH_DATABASE_URL: postgresql+asyncpg://auth_user:PASSWORD@auth-db:5432/auth_db?ssl=require
# ... (all 14 databases)
```
**To base64 encode:**
```bash
echo -n "your-password-here" | base64
```
**CRITICAL:** Never commit real secrets to git! Use `.gitignore` for secrets files.
### Step 3: Apply Secrets
```bash
# Copy manifests to VPS
scp -r infrastructure/kubernetes user@YOUR_VPS_IP:~/
# SSH to VPS
ssh user@YOUR_VPS_IP
# Apply secrets
kubectl apply -f ~/infrastructure/kubernetes/base/secrets.yaml
# Verify secrets created
kubectl get secrets -n bakery-ia
```
---
## Database Migrations
### Step 1: Deploy Databases
```bash
# On VPS
kubectl apply -k ~/kubernetes/overlays/prod
# Wait for databases to be ready (5-10 minutes)
kubectl wait --for=condition=ready pod -l app.kubernetes.io/component=database -n bakery-ia --timeout=600s
# Check status
kubectl get pods -n bakery-ia -l app.kubernetes.io/component=database
```
### Step 2: Run Migrations
Migrations are automatically handled by init containers in each service. Verify they completed:
```bash
# Check migration job status
kubectl get jobs -n bakery-ia | grep migration
# All should show "COMPLETIONS = 1/1"
# Check logs if any failed
kubectl logs -n bakery-ia job/auth-migration
```
### Step 3: Verify Database Schemas
```bash
# Connect to a database to verify
kubectl exec -n bakery-ia deployment/auth-db -it -- psql -U auth_user -d auth_db
# Inside psql:
\dt # List tables
\d users # Describe users table
\q # Quit
```
---
## Verification & Testing
### Step 1: Check All Pods Running
```bash
# View all pods
kubectl get pods -n bakery-ia
# Expected: All pods in "Running" state, none in CrashLoopBackOff
# Check for issues
kubectl get pods -n bakery-ia | grep -vE "Running|Completed"
# View logs for any problematic pods
kubectl logs -n bakery-ia POD_NAME
```
### Step 2: Check Services and Ingress
```bash
# View services
kubectl get svc -n bakery-ia
# View ingress
kubectl get ingress -n bakery-ia
# View certificates (should auto-issue from Let's Encrypt)
kubectl get certificate -n bakery-ia
# Describe certificate to check status
kubectl describe certificate bakery-ia-prod-tls-cert -n bakery-ia
```
### Step 3: Test Database Connections
```bash
# Test PostgreSQL TLS
kubectl exec -n bakery-ia deployment/auth-db -- sh -c \
'psql -U auth_user -d auth_db -c "SHOW ssl;"'
# Expected output: on
# Test Redis TLS
kubectl exec -n bakery-ia deployment/redis -- redis-cli \
--tls \
--cert /tls/redis-cert.pem \
--key /tls/redis-key.pem \
--cacert /tls/ca-cert.pem \
-a $REDIS_PASSWORD \
ping
# Expected output: PONG
```
### Step 4: Test Frontend Access
```bash
# Test frontend (replace with your domain)
curl -I https://bakery.yourdomain.com
# Expected: HTTP/2 200 OK
# Test API health
curl https://api.yourdomain.com/health
# Expected: {"status": "healthy"}
```
### Step 5: Test Authentication
```bash
# Create a test user (using your frontend or API)
curl -X POST https://api.yourdomain.com/api/v1/auth/register \
-H "Content-Type: application/json" \
-d '{
"email": "test@yourdomain.com",
"password": "TestPassword123!",
"name": "Test User"
}'
# Login
curl -X POST https://api.yourdomain.com/api/v1/auth/login \
-H "Content-Type: application/json" \
-d '{
"email": "test@yourdomain.com",
"password": "TestPassword123!"
}'
# Expected: JWT token in response
```
### Step 6: Test Email Delivery
```bash
# Trigger a password reset to test email
curl -X POST https://api.yourdomain.com/api/v1/auth/forgot-password \
-H "Content-Type: application/json" \
-d '{"email": "test@yourdomain.com"}'
# Check your email inbox for the reset link
# Check service logs if email not received:
kubectl logs -n bakery-ia deployment/auth-service | grep -i "email\|smtp"
```
### Step 7: Test WhatsApp (Optional)
```bash
# Send a test WhatsApp message
# This requires creating a tenant and configuring WhatsApp in the UI
# Or test via API once authenticated
```
---
## Post-Deployment
### Step 1: Access SigNoz Monitoring Stack
Your production deployment includes **SigNoz**, a unified observability platform that provides complete visibility into your application:
#### What is SigNoz?
SigNoz is an **open-source, all-in-one observability platform** that provides:
- **📊 Distributed Tracing** - See end-to-end request flows across all 18 microservices
- **📈 Metrics Monitoring** - Application performance and infrastructure metrics
- **📝 Log Management** - Centralized logs from all services with trace correlation
- **🔍 Service Performance Monitoring (SPM)** - Automatic RED metrics (Rate, Error, Duration)
- **🗄️ Database Monitoring** - All 18 PostgreSQL databases + Redis + RabbitMQ
- **☸️ Kubernetes Monitoring** - Cluster, node, pod, and container metrics
**Why SigNoz instead of Prometheus/Grafana?**
- Single unified UI for traces, metrics, and logs (no context switching)
- Automatic service dependency mapping
- Built-in APM (Application Performance Monitoring)
- Log-trace correlation with one click
- Better query performance with ClickHouse backend
- Modern UI designed for microservices
#### Production Monitoring URLs
Access via domain:
```
https://monitoring.bakewise.ai/signoz # SigNoz - Main observability UI
https://monitoring.bakewise.ai/alertmanager # AlertManager - Alert management
```
Or via port forwarding (if needed):
```bash
# SigNoz Frontend (Main UI)
kubectl port-forward -n bakery-ia svc/signoz 8080:8080 &
# Open: http://localhost:8080
# SigNoz AlertManager
kubectl port-forward -n bakery-ia svc/signoz-alertmanager 9093:9093 &
# Open: http://localhost:9093
# OTel Collector (for debugging)
kubectl port-forward -n bakery-ia svc/signoz-otel-collector 4317:4317 & # gRPC
kubectl port-forward -n bakery-ia svc/signoz-otel-collector 4318:4318 & # HTTP
```
#### Key SigNoz Features to Explore
Once you open SigNoz (https://monitoring.bakewise.ai/signoz), explore these tabs:
**1. Services Tab - Application Performance**
- View all 18 microservices with live metrics
- See request rate, error rate, and latency (P50/P90/P99)
- Click on any service to drill down into operations
- Identify slow endpoints and error-prone operations
**2. Traces Tab - Request Flow Visualization**
- See complete request journeys across services
- Identify bottlenecks (slow database queries, API calls)
- Debug errors with full stack traces
- Correlate with logs for complete context
**3. Dashboards Tab - Infrastructure & Database Metrics**
- **PostgreSQL** - Monitor all 18 databases (connections, queries, cache hit ratio)
- **Redis** - Cache performance (memory, hit rate, commands/sec)
- **RabbitMQ** - Message queue health (depth, rates, consumers)
- **Kubernetes** - Cluster metrics (nodes, pods, containers)
**4. Logs Tab - Centralized Log Management**
- Search and filter logs from all services
- Click on trace ID in logs to see related request trace
- Auto-enriched with Kubernetes metadata (pod, namespace, container)
- Identify patterns and anomalies
**5. Alerts Tab - Proactive Monitoring**
- Configure alerts on metrics, traces, or logs
- Email/Slack/Webhook notifications
- View firing alerts and alert history
#### Quick Health Check
```bash
# Verify SigNoz components are running
kubectl get pods -n bakery-ia -l app.kubernetes.io/instance=signoz
# Expected output:
# signoz-0 READY 1/1
# signoz-otel-collector-xxx READY 1/1
# signoz-alertmanager-xxx READY 1/1
# signoz-clickhouse-xxx READY 1/1
# signoz-zookeeper-xxx READY 1/1
# Check OTel Collector health
kubectl exec -n bakery-ia deployment/signoz-otel-collector -- wget -qO- http://localhost:13133
# View recent telemetry in OTel Collector logs
kubectl logs -n bakery-ia deployment/signoz-otel-collector --tail=50 | grep -i "traces\|metrics\|logs"
```
#### Verify Telemetry is Working
1. **Check Services are Reporting:**
```bash
# Open SigNoz and navigate to Services tab
# You should see all 18 microservices listed
# If services are missing, check if they're sending telemetry:
kubectl logs -n bakery-ia deployment/auth-service | grep -i "telemetry\|otel"
```
2. **Check Database Metrics:**
```bash
# Navigate to Dashboards → PostgreSQL in SigNoz
# You should see metrics from all 18 databases
# Verify OTel Collector is scraping databases:
kubectl logs -n bakery-ia deployment/signoz-otel-collector | grep postgresql
```
3. **Check Traces are Being Collected:**
```bash
# Make a test API request
curl https://bakewise.ai/api/v1/health
# Navigate to Traces tab in SigNoz
# Search for "gateway" service
# You should see the trace for your request
```
4. **Check Logs are Being Collected:**
```bash
# Navigate to Logs tab in SigNoz
# Filter by namespace: bakery-ia
# You should see logs from all pods
# Verify filelog receiver is working:
kubectl logs -n bakery-ia deployment/signoz-otel-collector | grep filelog
```
### Step 2: Configure Alerting
SigNoz includes integrated alerting with AlertManager. Configure it for your team:
#### Update Email Notification Settings
The alerting configuration is in the SigNoz Helm values. To update:
```bash
# For production, edit the values file:
nano infrastructure/helm/signoz-values-prod.yaml
# Update the alertmanager.config section:
# 1. Update SMTP settings:
# - smtp_from: 'your-alerts@bakewise.ai'
# - smtp_auth_username: 'your-alerts@bakewise.ai'
# - smtp_auth_password: (use Kubernetes secret)
#
# 2. Update receivers:
# - critical-alerts email: critical-alerts@bakewise.ai
# - warning-alerts email: oncall@bakewise.ai
#
# 3. (Optional) Add Slack webhook for critical alerts
# Apply the updated configuration:
helm upgrade signoz signoz/signoz \
-n bakery-ia \
-f infrastructure/helm/signoz-values-prod.yaml
```
#### Create Alerts in SigNoz UI
1. **Open SigNoz Alerts Tab:**
```
https://monitoring.bakewise.ai/signoz → Alerts
```
2. **Create Common Alerts:**
**Alert 1: High Error Rate**
- Name: `HighErrorRate`
- Query: `error_rate > 5` for `5 minutes`
- Severity: `critical`
- Description: "Service {{service_name}} has error rate >5%"
**Alert 2: High Latency**
- Name: `HighLatency`
- Query: `P99_latency > 3000ms` for `5 minutes`
- Severity: `warning`
- Description: "Service {{service_name}} P99 latency >3s"
**Alert 3: Service Down**
- Name: `ServiceDown`
- Query: `request_rate == 0` for `2 minutes`
- Severity: `critical`
- Description: "Service {{service_name}} not receiving requests"
**Alert 4: Database Connection Issues**
- Name: `DatabaseConnectionsHigh`
- Query: `pg_active_connections > 80` for `5 minutes`
- Severity: `warning`
- Description: "Database {{database}} connection count >80%"
**Alert 5: High Memory Usage**
- Name: `HighMemoryUsage`
- Query: `container_memory_percent > 85` for `5 minutes`
- Severity: `warning`
- Description: "Pod {{pod_name}} using >85% memory"
#### Test Alert Delivery
```bash
# Method 1: Create a test alert in SigNoz UI
# Go to Alerts → New Alert → Set a test condition that will fire
# Method 2: Fire a test alert via stress test
kubectl run memory-test --image=polinux/stress --restart=Never \
--namespace=bakery-ia -- stress --vm 1 --vm-bytes 600M --timeout 300s
# Check alert appears in SigNoz Alerts tab
# https://monitoring.bakewise.ai/signoz → Alerts
# Also check AlertManager
# https://monitoring.bakewise.ai/alertmanager
# Verify email notification received
# Clean up test
kubectl delete pod memory-test -n bakery-ia
```
#### Configure Notification Channels
In SigNoz Alerts tab, configure channels:
1. **Email Channel:**
- Already configured via AlertManager
- Emails sent to addresses in signoz-values-prod.yaml
2. **Slack Channel (Optional):**
```bash
# Add Slack webhook URL to signoz-values-prod.yaml
# Under alertmanager.config.receivers.critical-alerts.slack_configs:
# - api_url: 'https://hooks.slack.com/services/YOUR/WEBHOOK/URL'
# channel: '#alerts-critical'
```
3. **Webhook Channel (Optional):**
- Configure custom webhook for integration with PagerDuty, OpsGenie, etc.
- Add to alertmanager.config.receivers
### Step 3: Configure Backups
```bash
# Create backup script on VPS
cat > ~/backup-databases.sh <<'EOF'
#!/bin/bash
BACKUP_DIR="/backups/$(date +%Y-%m-%d)"
mkdir -p $BACKUP_DIR
# Get all database pods
DBS=$(kubectl get pods -n bakery-ia -l app.kubernetes.io/component=database -o name)
for db in $DBS; do
DB_NAME=$(echo $db | cut -d'/' -f2)
echo "Backing up $DB_NAME..."
kubectl exec -n bakery-ia $db -- pg_dump -U postgres > "$BACKUP_DIR/${DB_NAME}.sql"
done
# Compress backups
tar -czf "$BACKUP_DIR.tar.gz" "$BACKUP_DIR"
rm -rf "$BACKUP_DIR"
# Keep only last 7 days
find /backups -name "*.tar.gz" -mtime +7 -delete
echo "Backup completed: $BACKUP_DIR.tar.gz"
EOF
chmod +x ~/backup-databases.sh
# Test backup
./backup-databases.sh
# Setup daily cron job (2 AM)
(crontab -l 2>/dev/null; echo "0 2 * * * ~/backup-databases.sh") | crontab -
```
### Step 3: Setup Alerting
```bash
# Update AlertManager configuration with your email
kubectl edit configmap -n monitoring alertmanager-config
# Update recipient emails in the routes section
```
### Step 4: Verify SigNoz Monitoring is Working
Before proceeding, ensure all monitoring components are operational:
```bash
# 1. Verify SigNoz pods are running
kubectl get pods -n bakery-ia -l app.kubernetes.io/instance=signoz
# Expected pods (all should be Running/Ready):
# - signoz-0 (or signoz-1, signoz-2 for HA)
# - signoz-otel-collector-xxx
# - signoz-alertmanager-xxx
# - signoz-clickhouse-xxx
# - signoz-zookeeper-xxx
# 2. Check SigNoz UI is accessible
curl -I https://monitoring.bakewise.ai/signoz
# Should return: HTTP/2 200 OK
# 3. Verify OTel Collector is receiving data
kubectl logs -n bakery-ia deployment/signoz-otel-collector --tail=100 | grep -i "received"
# Should show: "Traces received: X" "Metrics received: Y" "Logs received: Z"
# 4. Check ClickHouse database is healthy
kubectl exec -n bakery-ia deployment/signoz-clickhouse -- clickhouse-client --query="SELECT count() FROM system.tables WHERE database LIKE 'signoz_%'"
# Should return a number > 0 (tables exist)
```
**Complete Verification Checklist:**
- [ ] **SigNoz UI loads** at https://monitoring.bakewise.ai/signoz
- [ ] **Services tab shows all 18 microservices** with metrics
- [ ] **Traces tab has sample traces** from gateway and other services
- [ ] **Dashboards tab shows PostgreSQL metrics** from all 18 databases
- [ ] **Dashboards tab shows Redis metrics** (memory, commands, etc.)
- [ ] **Dashboards tab shows RabbitMQ metrics** (queues, messages)
- [ ] **Dashboards tab shows Kubernetes metrics** (nodes, pods)
- [ ] **Logs tab displays logs** from all services in bakery-ia namespace
- [ ] **Alerts tab is accessible** and can create new alerts
- [ ] **AlertManager** is reachable at https://monitoring.bakewise.ai/alertmanager
**If any checks fail, troubleshoot:**
```bash
# Check OTel Collector configuration
kubectl describe configmap -n bakery-ia signoz-otel-collector
# Check for errors in OTel Collector
kubectl logs -n bakery-ia deployment/signoz-otel-collector | grep -i error
# Check ClickHouse is accepting writes
kubectl logs -n bakery-ia deployment/signoz-clickhouse | grep -i error
# Restart OTel Collector if needed
kubectl rollout restart deployment/signoz-otel-collector -n bakery-ia
```
### Step 5: Document Everything
Create a secure runbook with all credentials and procedures:
**Essential Information to Document:**
- [ ] VPS login credentials (stored securely in password manager)
- [ ] Database passwords (in password manager)
- [ ] Grafana admin password
- [ ] Domain registrar access (for bakewise.ai)
- [ ] Cloudflare access
- [ ] Email service credentials (SMTP)
- [ ] WhatsApp API credentials
- [ ] Docker Hub / Registry credentials
- [ ] Emergency contact information
- [ ] Rollback procedures
- [ ] Monitoring URLs and access procedures
### Step 6: Train Your Team
Conduct a training session covering SigNoz and operational procedures:
#### Part 1: SigNoz Navigation (30 minutes)
- [ ] **Login and Overview**
- Show how to access https://monitoring.bakewise.ai/signoz
- Navigate through main tabs: Services, Traces, Dashboards, Logs, Alerts
- Explain the unified nature of SigNoz (all-in-one platform)
- [ ] **Services Tab - Application Performance Monitoring**
- Show all 18 microservices
- Explain RED metrics (Request rate, Error rate, Duration/latency)
- Demo: Click on a service → Operations → See endpoint breakdown
- Demo: Identify slow endpoints and high error rates
- [ ] **Traces Tab - Request Flow Debugging**
- Show how to search for traces by service, operation, or time
- Demo: Click on a trace → See full waterfall (service → database → cache)
- Demo: Find slow database queries in trace spans
- Demo: Click "View Logs" to correlate trace with logs
- [ ] **Dashboards Tab - Infrastructure Monitoring**
- Navigate to PostgreSQL dashboard → Show all 18 databases
- Navigate to Redis dashboard → Show cache metrics
- Navigate to Kubernetes dashboard → Show node/pod metrics
- Explain what metrics indicate issues (connection %, memory %, etc.)
- [ ] **Logs Tab - Log Search and Analysis**
- Show how to filter by service, severity, time range
- Demo: Search for "error" in last hour
- Demo: Click on trace_id in log → Jump to related trace
- Show Kubernetes metadata (pod, namespace, container)
- [ ] **Alerts Tab - Proactive Monitoring**
- Show how to create alerts on metrics
- Review pre-configured alerts
- Show alert history and firing alerts
- Explain how to acknowledge/silence alerts
#### Part 2: Operational Tasks (30 minutes)
- [ ] **Check application logs** (multiple ways)
```bash
# Method 1: Via kubectl (for immediate debugging)
kubectl logs -n bakery-ia deployment/orders-service --tail=100 -f
# Method 2: Via SigNoz Logs tab (for analysis and correlation)
# 1. Open https://monitoring.bakewise.ai/signoz → Logs
# 2. Filter by k8s_deployment_name: orders-service
# 3. Click on trace_id to see related request flow
```
- [ ] **Restart services when needed**
```bash
# Restart a service (rolling update, no downtime)
kubectl rollout restart deployment/orders-service -n bakery-ia
# Verify restart in SigNoz:
# 1. Check Services tab → orders-service → Should show brief dip then recovery
# 2. Check Logs tab → Filter by orders-service → See restart logs
```
- [ ] **Investigate performance issues**
```bash
# Scenario: "Orders API is slow"
# 1. SigNoz → Services → orders-service → Check P99 latency
# 2. SigNoz → Traces → Filter service:orders-service, duration:>1s
# 3. Click on slow trace → Identify bottleneck (DB query? External API?)
# 4. SigNoz → Dashboards → PostgreSQL → Check orders_db connections/queries
# 5. Fix identified issue (add index, optimize query, scale service)
```
- [ ] **Respond to alerts**
- Show how to access alerts in SigNoz → Alerts tab
- Show AlertManager UI at https://monitoring.bakewise.ai/alertmanager
- Review common alerts and their resolution steps
- Reference the [Production Operations Guide](./PRODUCTION_OPERATIONS_GUIDE.md)
#### Part 3: Documentation and Resources (10 minutes)
- [ ] **Share documentation**
- [PILOT_LAUNCH_GUIDE.md](./PILOT_LAUNCH_GUIDE.md) - This guide (deployment)
- [PRODUCTION_OPERATIONS_GUIDE.md](./PRODUCTION_OPERATIONS_GUIDE.md) - Daily operations with SigNoz
- [security-checklist.md](./security-checklist.md) - Security procedures
- [ ] **Bookmark key URLs**
- SigNoz: https://monitoring.bakewise.ai/signoz
- AlertManager: https://monitoring.bakewise.ai/alertmanager
- Production app: https://bakewise.ai
- [ ] **Setup on-call rotation** (if applicable)
- Configure rotation schedule in AlertManager
- Document escalation procedures
- Test alert delivery to on-call phone/email
#### Part 4: Hands-On Exercise (15 minutes)
**Exercise: Investigate a Simulated Issue**
1. Create a load test to generate traffic
2. Use SigNoz to find the slowest endpoint
3. Identify the root cause using traces
4. Correlate with logs to confirm
5. Check infrastructure metrics (DB, memory, CPU)
6. Propose a fix based on findings
This trains the team to use SigNoz effectively for real incidents.
---
## Troubleshooting
### Issue: Pods Not Starting
```bash
# Check pod status
kubectl describe pod POD_NAME -n bakery-ia
# Common causes:
# 1. Image pull errors
kubectl get events -n bakery-ia | grep -i "pull"
# 2. Resource limits
kubectl describe node
# 3. Volume mount issues
kubectl get pvc -n bakery-ia
```
### Issue: Certificate Not Issuing
```bash
# Check certificate status
kubectl describe certificate bakery-ia-prod-tls-cert -n bakery-ia
# Check cert-manager logs
kubectl logs -n cert-manager deployment/cert-manager
# Check challenges
kubectl get challenges -n bakery-ia
# Verify DNS is correct
nslookup bakery.yourdomain.com
```
### Issue: Database Connection Errors
```bash
# Check database pod
kubectl get pods -n bakery-ia -l app.kubernetes.io/component=database
# Check database logs
kubectl logs -n bakery-ia deployment/auth-db
# Test connection from service pod
kubectl exec -n bakery-ia deployment/auth-service -- nc -zv auth-db 5432
```
### Issue: Services Can't Connect to Databases
```bash
# Check if SSL is enabled
kubectl exec -n bakery-ia deployment/auth-db -- sh -c \
'psql -U auth_user -d auth_db -c "SHOW ssl;"'
# Check service logs for SSL errors
kubectl logs -n bakery-ia deployment/auth-service | grep -i "ssl\|tls"
# Restart service to pick up new SSL config
kubectl rollout restart deployment/auth-service -n bakery-ia
```
### Issue: Out of Resources
```bash
# Check node resources
kubectl top nodes
# Check pod resource usage
kubectl top pods -n bakery-ia
# Identify resource hogs
kubectl top pods -n bakery-ia --sort-by=memory
# Scale down non-critical services temporarily
kubectl scale deployment monitoring -n bakery-ia --replicas=0
```
---
## Next Steps After Successful Launch
1. **Monitor for 48 Hours**
- Check dashboards daily
- Review error logs
- Monitor resource usage
- Test all functionality
2. **Optimize Based on Metrics**
- Adjust resource limits if needed
- Fine-tune autoscaling thresholds
- Optimize database queries if slow
3. **Onboard First Tenant**
- Create test tenant
- Upload sample data
- Test all features
- Gather feedback
4. **Scale Gradually**
- Add 1-2 tenants at a time
- Monitor resource usage
- Upgrade VPS if needed (see scaling guide)
5. **Plan for Growth**
- Review [PRODUCTION_OPERATIONS_GUIDE.md](./PRODUCTION_OPERATIONS_GUIDE.md)
- Implement additional monitoring
- Plan capacity upgrades
- Consider managed services for scale
---
## Cost Scaling Path
| Tenants | RAM | CPU | Storage | Monthly Cost |
|---------|-----|-----|---------|--------------|
| 10 | 20 GB | 8 cores | 200 GB | €40-80 |
| 25 | 32 GB | 12 cores | 300 GB | €80-120 |
| 50 | 48 GB | 16 cores | 500 GB | €150-200 |
| 100+ | Consider multi-node cluster or managed K8s | €300+ |
---
## Support Resources
**Documentation:**
- **Operations Guide:** [PRODUCTION_OPERATIONS_GUIDE.md](./PRODUCTION_OPERATIONS_GUIDE.md) - Daily operations, monitoring, incident response
- **Security Guide:** [security-checklist.md](./security-checklist.md) - Security procedures and compliance
- **Database Security:** [database-security.md](./database-security.md) - Database operations and TLS configuration
- **TLS Configuration:** [tls-configuration.md](./tls-configuration.md) - Certificate management
- **RBAC Implementation:** [rbac-implementation.md](./rbac-implementation.md) - Access control
**Monitoring Access:**
- **SigNoz (Primary):** https://monitoring.bakewise.ai/signoz - All-in-one observability
- Services: Application performance monitoring (APM)
- Traces: Distributed tracing across all services
- Dashboards: PostgreSQL, Redis, RabbitMQ, Kubernetes metrics
- Logs: Centralized log management with trace correlation
- Alerts: Alert configuration and management
- **AlertManager:** https://monitoring.bakewise.ai/alertmanager - Alert routing and notifications
**External Resources:**
- **MicroK8s Docs:** https://microk8s.io/docs
- **Kubernetes Docs:** https://kubernetes.io/docs
- **Let's Encrypt:** https://letsencrypt.org/docs
- **Cloudflare DNS:** https://developers.cloudflare.com/dns
- **SigNoz Documentation:** https://signoz.io/docs/
- **OpenTelemetry Documentation:** https://opentelemetry.io/docs/
**Monitoring Architecture:**
- **OpenTelemetry:** Industry-standard instrumentation framework
- Auto-instruments FastAPI, HTTPX, SQLAlchemy, Redis
- Collects traces, metrics, and logs from all services
- Exports to SigNoz via OTLP protocol (gRPC port 4317, HTTP port 4318)
- **SigNoz Components:**
- **Frontend:** Web UI for visualization and analysis
- **OTel Collector:** Receives and processes telemetry data
- **ClickHouse:** Time-series database for fast queries
- **AlertManager:** Alert routing and notification delivery
- **Zookeeper:** Coordination service for ClickHouse cluster
---
## Summary Checklist
Before going live, ensure:
- [ ] VPS provisioned and accessible
- [ ] MicroK8s installed and configured
- [ ] Domain registered and DNS configured
- [ ] Cloudflare protection enabled
- [ ] TLS certificates generated
- [ ] Email service configured and tested
- [ ] WhatsApp API setup (optional for launch)
- [ ] Container images built and pushed
- [ ] Production configs updated (domains, CORS, etc.)
- [ ] Secrets generated (strong passwords!)
- [ ] All pods running successfully
- [ ] Databases accepting TLS connections
- [ ] Let's Encrypt certificates issued
- [ ] Frontend accessible via HTTPS
- [ ] API health check passing
- [ ] Test user can login
- [ ] Email delivery working
- [ ] Monitoring dashboards loading
- [ ] Backups configured and tested
- [ ] Team trained on operations
- [ ] Documentation complete
- [ ] Emergency procedures documented
---
**🎉 Congratulations! Your Bakery-IA platform is now live in production!**
*Estimated total time: 2-4 hours for first deployment*
*Subsequent updates: 15-30 minutes*
---
**Document Version:** 1.0
**Last Updated:** 2026-01-07
**Maintained By:** DevOps Team