Running Production-Grade Databases on K8s

Running a database like MySQL in Kubernetes requires careful consideration of several aspects to ensure high availability, data consistency, and operational efficiency. Below is an overview of key considerations and best practices for setting up a MySQL cluster on Kubernetes:

1. Database Design Considerations

• High Availability (HA): Ensure your setup supports automatic failover and redundancy.
• Data Consistency: Choose between strong consistency or eventual consistency based on application requirements.
• Scalability: Plan for horizontal scaling to handle increased load.

2. Kubernetes Resources Overview

StatefulSet

• Manages the MySQL instances, ensuring persistent storage and ordered deployment.
• Example:

  yaml
   
  1apiVersion: apps/v1
  2kind: StatefulSet
  3metadata:
  4  name: mysql
  5spec:
  6  serviceName: "mysql"
  7  replicas: 3
  8  selector:
  9    matchLabels:
  10      app: mysql
  11  template:
  12    metadata:
  13      labels:
  14        app: mysql
  15    spec:
  16      containers:
  17      - name: mysql
  18        image: mysql:8.0
  19        ports:
  20        - containerPort: 3306
  21        volumeMounts:
  22        - mountPath: /var/lib

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