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Building a Mini DBaaS with Kubernetes in One Week - Part 1: Architecture Overview

Building a Mini DBaaS with Kubernetes in One Week - Part 1: Architecture Overview

Introduction

Ever wondered how cloud database services like AWS RDS or Google Cloud SQL work under the hood? What if you could build your own Database-as-a-Service (DBaaS) platform using Kubernetes? In this series, I'll show you how to create a fully functional mini DBaaS platform in just one week using Node.js and Kubernetes.

By the end of this series, you'll have a working DBaaS that can:

  • Create and manage PostgreSQL, MySQL, and MariaDB instances
  • Provide high-availability PostgreSQL clusters with automatic failover
  • Offer Aurora-style backup and recovery using CSI VolumeSnapshots
  • Support multi-tenant isolation with namespaces
  • Monitor database health and performance

Why Build Your Own DBaaS?

Building a DBaaS might seem like overkill for small projects, but it's an excellent way to:

  • Learn Kubernetes deeply: Understand StatefulSets, PVCs, Operators, and more
  • Master cloud-native patterns: Experience real-world distributed systems
  • Gain DevOps skills: Practice infrastructure as code with Helm charts
  • Understand database operations: Learn about backup strategies, high availability, and monitoring

Our Architecture Overview

Our mini DBaaS follows a clean, layered architecture:

┌─────────────────────────────────────┐
│         User Requests (CLI/API)     │
└──────────────┬──────────────────────┘
               ↓
┌─────────────────────────────────────┐
│      Node.js API Server (Express)   │
│  • Instance CRUD operations         │
│  • Helm chart deployment            │
│  • Kubernetes resource management   │
└──────────────┬──────────────────────┘
               ↓
┌─────────────────────────────────────┐
│        Kubernetes (minikube)        │
│  ┌────────────────────────────────┐ │
│  │  Namespace per instance        │ │
│  │  StatefulSet + PVC (DB Pod)    │ │
│  │  Secret, ConfigMap             │ │
│  └────────────────────────────────┘ │
└──────────────┬──────────────────────┘
               ↓
┌─────────────────────────────────────┐
│    Local Storage (PVC, HostPath)    │
│  • MySQL/MariaDB/PostgreSQL data    │ │
└──────────────┬──────────────────────┘
               ↓
┌─────────────────────────────────────┐
│    CSI VolumeSnapshot Backup        │
│  • Aurora-style point-in-time       │ │
│  • 5-10 second snapshot creation    │ │
│  • 30-second recovery time          │ │
└──────────────┬──────────────────────┘
               ↓
┌─────────────────────────────────────┐
│  PostgreSQL HA (Zalando Operator)   │
│  • Automatic failover               │ │
│  • Read/write load balancing        │ │
│  • 3-5 node clusters                │ │
└─────────────────────────────────────┘
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Technology Stack

We'll use a modern, cloud-native stack:

  • Backend: Node.js with Express (lightweight and fast)
  • Orchestration: Kubernetes with Helm (industry standard)
  • Databases: PostgreSQL, MySQL, MariaDB via Bitnami charts
  • High Availability: Zalando PostgreSQL Operator
  • Backup/Recovery: CSI VolumeSnapshots (like AWS Aurora)
  • Storage: PVC with hostPath (minikube) / cloud storage (production)
  • Monitoring: Real-time pod/helm status tracking

Key Features We'll Implement

1. Multi-Database Support

  • PostgreSQL, MySQL, and MariaDB instances
  • Custom Helm charts for each database type
  • Automatic configuration and secret management

2. High Availability Clusters

  • PostgreSQL HA using Zalando PostgreSQL Operator
  • Automatic failover and load balancing
  • Master/Replica service separation

3. Aurora-Style Backup System

  • CSI VolumeSnapshot for storage-level backups
  • Point-in-time recovery
  • Cross-instance backup restoration

4. Multi-Tenant Isolation

  • Namespace-based resource isolation
  • Independent storage volumes per tenant
  • Resource quotas and limits

5. RESTful API

  • Complete CRUD operations for instances
  • Real-time status monitoring
  • Connection information retrieval

Development Timeline

Here's our one-week development plan:

Day Focus Deliverables
Day 1 Environment Setup & Basic API Node.js server, basic routes
Day 2 Kubernetes Integration Helm charts, basic deployment
Day 3 Database Instance Management Create/delete/status APIs
Day 4 Backup & Recovery System CSI VolumeSnapshots
Day 5 High Availability Clusters Zalando PostgreSQL Operator
Day 6 Multi-Tenant Features Namespace isolation, quotas
Day 7 Testing & Documentation API testing, deployment guide

What You'll Learn

Throughout this series, you'll gain hands-on experience with:

  • Kubernetes StatefulSets: Managing stateful applications
  • Persistent Volume Claims: Database storage management
  • Helm Charts: Package and deploy applications
  • Kubernetes Operators: Advanced application management
  • CSI VolumeSnapshots: Storage-level backup strategies
  • Multi-tenancy: Resource isolation and management
  • API Design: RESTful service architecture

Prerequisites

Before we start, make sure you have:

  • Docker Desktop installed and running
  • minikube for local Kubernetes cluster
  • Helm for package management
  • Node.js (v18+) for the API server
  • kubectl for Kubernetes interaction

Next Steps

In the next post, we'll set up our development environment and create the basic Node.js API server structure. We'll start with the foundation and gradually build up to a fully functional DBaaS platform.

Are you ready to build your own cloud database service? Let's dive in! 🚀


Series Navigation:

  • Part 1: Architecture Overview (this post)
  • Part 2: Environment Setup & Basic API Server
  • Part 3: Kubernetes Integration & Helm Charts
  • Part 4: Database Instance Management
  • Part 5: Backup & Recovery with CSI VolumeSnapshots
  • Part 6: High Availability with PostgreSQL Operator
  • Part 7: Multi-Tenant Features & Final Testing

Follow along and build your own mini DBaaS platform!


Tags

kubernetes #database #devops #nodejs #helm #postgresql #mysql #mariadb #cloud-native #tutorial #series

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