Comprehensive MariaDB on Kubernetes Services
From operator deployment to production monitoring, we provide end-to-end MariaDB on Kubernetes solutions for cloud-native environments.
- MariaDB Operator installation and setup
- Custom Resource Definition (CRD) tuning
- Galera Cluster bootstrap automation
- RBAC and namespace configuration
- Helm chart customization and templating
- Values file tuning for production
- Chart version upgrade strategies
- GitOps integration with ArgoCD / Flux
- Galera Cluster on K8s setup
- SST and IST configuration
- Pod Disruption Budget planning
- Anti-affinity and topology spread
- MaxScale Deployment on K8s
- Read/write splitting configuration
- Connection pooling and routing
- Automatic failover detection
- Prometheus ServiceMonitor setup
- Grafana dashboard provisioning
- PMM on K8s integration
- Alertmanager rules and routing
- Mariabackup on K8s automation
- S3-compatible snapshot storage
- Scheduled and on-demand backups
- Cross-region restore testing
Why Run MariaDB on Kubernetes?
Cloud-native MariaDB with Galera multi-master replication, MaxScale proxy, rolling upgrades, and infrastructure-as-code for consistent, repeatable deployments.
Cloud-Native MariaDB
Run MariaDB 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
The MariaDB Operator encodes expert DBA knowledge into automated controllers that handle Galera bootstrap, node joining, SST transfers, backup, and failover without manual intervention.
Rolling Upgrades
Upgrade MariaDB versions and apply configuration changes with zero downtime using rolling update strategies. The operator orchestrates graceful node drains and health checks at each step.
Auto-Failover
Galera Cluster provides automatic node recovery and quorum-based failover. MaxScale detects topology changes and reroutes traffic transparently, ensuring zero application-level disruption.
MariaDB on K8s Key Metrics
MariaDB Kubernetes Operators Compared
Choose the right operator for your MariaDB on Kubernetes deployment based on your clustering model, tooling preferences, and scale requirements.
Our MariaDB on Kubernetes Implementation Process
A proven methodology for deploying production-ready MariaDB on Kubernetes with comprehensive testing and validation.
Assessment & Planning
Evaluate your workload requirements, existing infrastructure, and Kubernetes environment. Select the right operator, Galera topology, MaxScale configuration, and storage backend.
Operator & Cluster Setup
Deploy the MariaDB Operator via Helm or OLM. Configure Galera Cluster custom resources, MaxScale proxy, persistent volumes, networking, and security contexts for production readiness.
Migration & Validation
Migrate data from existing MariaDB instances, validate application connectivity through MaxScale, perform failover and backup/restore testing, and benchmark Galera performance under load.
Production & Operations
Go live with full monitoring, alerting, automated Mariabackup schedules, and runbooks. Provide team training on operator management, day-2 operations, and 24/7 support.
MariaDB on Kubernetes — Frequently Asked Questions
Common questions about running MariaDB on Kubernetes in production environments.
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