What are the minimum requirements for deploying B2ALABS SMART GATEWAY to Kubernetes?

Minimum requirements: Kubernetes 1.24+, 8 CPU cores, 16GB RAM, StorageClass with dynamic provisioning, and a load balancer (cloud provider or MetalLB). Recommended: 16 CPU cores, 32GB RAM for production workloads.

How long does it take to deploy B2ALABS SMART GATEWAY to Kubernetes?

A typical deployment takes 30-45 minutes including namespace creation, database setup, gateway deployment, and observability stack configuration. Using Kustomize for automated deployment can reduce this to 15-20 minutes.

Does B2ALABS SMART GATEWAY support auto-scaling in Kubernetes?

Yes, B2ALABS SMART GATEWAY includes Horizontal Pod Autoscaler (HPA) configuration for automatic scaling based on CPU and memory metrics. The gateway can scale from 3 to 10 replicas automatically based on load.

What observability tools are included in the Kubernetes deployment?

The deployment includes a complete observability stack: Prometheus for metrics, Grafana for visualization, Loki for log aggregation, and Tempo for distributed tracing. All tools are pre-configured and integrated with the gateway.

Can I use Helm instead of kubectl for deployment?

Yes, B2ALABS SMART GATEWAY provides Helm charts for easier deployment and management. Helm charts offer simplified configuration, easier upgrades, and better version management compared to raw kubectl manifests.

Documentation/Deployment/Kubernetes

Kubernetes Deployment Guide

Deploy B2ALABS SMART GATEWAY to production Kubernetes in 45 minutes with PostgreSQL, Redis, and full observability.

⏱️ 45 minutes•📊 Intermediate•Last updated: Oct 9, 2025

Overview

This guide walks you through deploying B2ALABS SMART GATEWAY to a production Kubernetes cluster. You'll deploy:

Gateway API with 3 replicas and auto-scaling
Next.js Web Platform
PostgreSQL 16 database with persistent storage
Redis 7 for caching and rate limiting
Full observability: Prometheus, Grafana, Loki, Tempo
NGINX Ingress with TLS/SSL

Prerequisites

Required Tools

# kubectl - Kubernetes CLI
kubectl version --client

# Verify cluster access
kubectl cluster-info

Cluster Requirements

Kubernetes: 1.24 or higher
Storage: StorageClass with dynamic provisioning
Load Balancer: Cloud provider or MetalLB
Resources:
- Minimum: 8 CPU, 16GB RAM
- Recommended: 16 CPU, 32GB RAM

Step-by-Step Deployment

💡 Quick Deploy

Deploy everything at once using Kustomize:

kubectl apply -k infrastructure/kubernetes/base/

Step 1: Create Namespace

kubectl apply -f infrastructure/kubernetes/base/namespace.yaml
kubectl get namespace b2alabs

Step 2: Configure Secrets

# Copy example and edit with your values
cp infrastructure/kubernetes/base/secrets.example.yaml \
   infrastructure/kubernetes/base/secrets.yaml

# Apply secrets
kubectl apply -f infrastructure/kubernetes/base/secrets.yaml

Step 3: Deploy Database

kubectl apply -f infrastructure/kubernetes/base/postgres-statefulset.yaml
kubectl wait --for=condition=ready pod -l app=postgres -n b2alabs --timeout=300s

Verification & Health Checks

# Check all pods
kubectl get pods -n b2alabs -o wide

# Test gateway health
kubectl port-forward -n b2alabs svc/b2alabs-gateway 8080:8080
curl http://localhost:8080/health

Frequently Asked Questions

What are the minimum requirements?

Kubernetes 1.24+, 8 CPU cores, 16GB RAM, StorageClass with dynamic provisioning, and a load balancer. Recommended: 16 CPU, 32GB RAM for production.

How long does deployment take?

30-45 minutes for manual step-by-step deployment. 15-20 minutes using Kustomize for automated deployment.

Does it support auto-scaling?

Yes, includes HPA (Horizontal Pod Autoscaler) for automatic scaling from 3 to 10 replicas based on CPU and memory metrics.