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MySQL on Kubernetes

MySQL onKubernetes

Deploy production-grade MySQL on Kubernetes with operator-managed lifecycle, automated failover, rolling upgrades, and cloud-native scaling for mission-critical database workloads.

99.99%
Uptime
Auto
Scaling
Zero
Downtime Upgrades

Comprehensive MySQL on Kubernetes Services

From operator deployment to production monitoring, we provide end-to-end MySQL on Kubernetes solutions for cloud-native environments.

Operator Deployment
Percona Operator, Oracle MySQL Operator setup and configuration for automated MySQL lifecycle management
  • Percona Operator for MySQL (PXC) setup
  • Oracle MySQL Operator installation
  • Custom Resource Definition (CRD) tuning
  • RBAC and namespace configuration
Helm Chart Management
Chart customization, values tuning, and upgrade strategies for reproducible MySQL deployments
  • Helm chart customization and templating
  • Values file tuning for production
  • Chart version upgrade strategies
  • GitOps integration with ArgoCD / Flux
High Availability on K8s
InnoDB Cluster, Group Replication, and Galera on Kubernetes with automated failover
  • InnoDB Cluster on K8s setup
  • Group Replication configuration
  • Pod Disruption Budget planning
  • Anti-affinity and topology spread
Storage & Persistence
PVCs, StorageClasses, CSI drivers, and backup volumes for durable MySQL data on Kubernetes
  • PVC and StorageClass configuration
  • CSI driver setup (EBS, PD, Ceph)
  • Volume expansion and snapshots
  • Backup volume provisioning
Monitoring on K8s
Prometheus, Grafana, and PMM on Kubernetes for full observability of MySQL clusters
  • Prometheus ServiceMonitor setup
  • Grafana dashboard provisioning
  • PMM on K8s integration
  • Alertmanager rules and routing
Backup & Disaster Recovery
Percona XtraBackup on K8s, S3 snapshots, and cross-region restore for data protection
  • Percona XtraBackup on K8s
  • S3-compatible snapshot storage
  • Scheduled and on-demand backups
  • Cross-region restore testing

Why Run MySQL on Kubernetes?

Cloud-native MySQL with operator-managed lifecycle, rolling upgrades, auto-scaling, and infrastructure-as-code for consistent, repeatable deployments.

Cloud-Native MySQL

Run MySQL as a first-class Kubernetes workload with declarative configuration, self-healing, and seamless integration with your cloud-native infrastructure and CI/CD pipelines.

Operator-Managed Lifecycle

Kubernetes operators encode expert DBA knowledge into automated controllers that handle provisioning, configuration, scaling, backup, and failover without manual intervention.

Rolling Upgrades

Upgrade MySQL versions and apply configuration changes with zero downtime using rolling update strategies. Operators orchestrate graceful switchovers and health checks at each step.

Auto-Scaling

Scale MySQL read replicas horizontally by updating a single field in your custom resource. Vertical Pod Autoscaler adjusts CPU and memory based on real usage patterns.

MySQL on K8s Key Metrics

Availability(With operator failover)
99.99%
Upgrade Strategy(Zero downtime)
Rolling
Scaling(HPA / VPA support)
Auto
Backup(S3, GCS, Azure Blob)
Automated
Self-Healing(Pod restart & failover)
Yes
GitOps Ready(ArgoCD / Flux compatible)
Yes

MySQL Kubernetes Operators Compared

Choose the right operator for your MySQL on Kubernetes deployment based on your clustering model, tooling preferences, and scale requirements.

Multi-Master Replication
Percona Operator for MySQL
Percona XtraDB Cluster (PXC) with Galera
Synchronous multi-master via Galera
Percona XtraBackup integration
ProxySQL / HAProxy for routing
PMM monitoring out of the box
Point-in-time recovery support
S3 / GCS backup destinations
Automated minor version upgrades
Open-source and battle-tested
Best for: Multi-master HA, Percona ecosystem users
InnoDB Cluster
Oracle MySQL Operator
MySQL InnoDB Cluster with Group Replication
InnoDB Cluster with Group Replication
MySQL Router for traffic routing
MySQL Shell AdminAPI integration
Official Oracle support available
Clone plugin for provisioning
MySQL Enterprise Backup support
Automatic primary election
Tight MySQL ecosystem integration
Best for: Official MySQL, InnoDB Cluster users
Horizontal Sharding
Vitess
Cloud-native horizontal sharding for MySQL
Horizontal sharding at application layer
Online schema migrations (gh-ost style)
VTGate query routing and planning
Topology management with VTOrc
Built-in connection pooling
CNCF graduated project
Proven at YouTube / Slack scale
Online resharding and reparenting
Best for: Large-scale sharding, high-growth workloads

Our MySQL on Kubernetes Implementation Process

A proven methodology for deploying production-ready MySQL on Kubernetes with comprehensive testing and validation.

1

Assessment & Planning

Evaluate your workload requirements, existing infrastructure, and Kubernetes environment. Select the right operator, storage backend, and high-availability topology.

2

Operator & Cluster Setup

Deploy the chosen operator via Helm or OLM. Configure custom resources, StatefulSets, persistent volumes, networking, and security contexts for production readiness.

3

Migration & Validation

Migrate data from existing MySQL instances, validate application connectivity, perform failover and backup/restore testing, and benchmark performance under load.

4

Production & Operations

Go live with full monitoring, alerting, automated backups, and runbooks. Provide team training on operator management, day-2 operations, and 24/7 support.

MySQL on Kubernetes — Frequently Asked Questions

Common questions about running MySQL on Kubernetes in production environments.

Ready to Run MySQL on Kubernetes?

Let our experts deploy and manage production MySQL on Kubernetes with operator-driven automation, persistent storage, and 99.99% uptime.