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Cassandra on Kubernetes

Cassandra onKubernetes

Deploy and operate Apache Cassandra on Kubernetes with K8ssandra and Cass Operator for cloud-native distributed database clusters with automated repairs, backups, and multi-datacenter scalability.

Multi-DC
Topology
Linear Scaling
Horizontal
Zero Downtime
Operations

Comprehensive Cassandra on Kubernetes Services

From operator deployment to multi-DC cluster management, we provide end-to-end Cassandra on Kubernetes solutions for production-grade distributed databases.

K8ssandra / Cass Operator Deployment
Deploy and configure Kubernetes operators for automated Cassandra lifecycle management
  • K8ssandra operator installation and setup
  • Cass Operator CRD configuration
  • CassandraDatacenter resource management
  • Operator upgrade and version management
Helm Chart Management
Production-ready Helm chart configuration for repeatable and version-controlled deployments
  • K8ssandra Helm chart customization
  • Values file management and templating
  • Chart versioning and rollback strategies
  • GitOps integration with ArgoCD/Flux
Multi-DC Clusters on K8s
Multi-datacenter Cassandra deployments spanning Kubernetes clusters for geo-distribution
  • Cross-cluster networking and peering
  • Multi-DC seed node configuration
  • Rack-aware and zone-aware placement
  • K8ssandra multi-cluster control plane
Storage & Persistence
High-performance storage configuration with local SSDs, PVCs, and optimized storage classes
  • PersistentVolumeClaim (PVC) setup
  • Local SSD and NVMe provisioning
  • Storage class configuration and tuning
  • Volume expansion and migration strategies
Monitoring (Reaper, Medusa, Prometheus)
Full observability stack with automated repairs, metrics collection, and alerting dashboards
  • Reaper anti-entropy repair scheduling
  • Prometheus metrics and alerting rules
  • Grafana dashboard provisioning
  • Cassandra metrics collector agent setup
Backup & DR (Medusa, S3)
Automated backup pipelines with Medusa to S3/GCS/Azure Blob for disaster recovery
  • Medusa backup configuration and scheduling
  • S3/GCS/Azure Blob storage integration
  • Point-in-time and full restore procedures
  • Cross-datacenter backup replication

Kubernetes Operators for Cassandra

Choose the right Kubernetes operator for your Cassandra deployment based on your operational requirements and toolchain preferences.

Recommended for Production
K8ssandra
Full-stack Cassandra platform for Kubernetes
Built on Cass Operator (includes it)
Reaper for automated anti-entropy repairs
Medusa for backup and restore to S3/GCS
Stargate for REST, GraphQL, and gRPC APIs
Prometheus + Grafana monitoring stack
Multi-cluster control plane support
Helm chart with comprehensive defaults
Active open-source community
Best for: Full-featured production deployments
Lightweight Option
Cass Operator (DataStax)
Focused Cassandra lifecycle management on K8s
CassandraDatacenter CRD management
StatefulSet orchestration and scaling
Rolling restart and upgrade automation
Rack-aware pod placement and scheduling
Node replace and decommission operations
Configuration management via ConfigMaps
DSE and OSS Cassandra support
Foundation for K8ssandra stack
Best for: Minimal operator footprint, BYO tooling

Why Run Cassandra on Kubernetes?

Kubernetes operators automate the complexity of managing distributed Cassandra clusters, enabling cloud-native operations at scale.

Automated Lifecycle Management

Kubernetes operators handle Cassandra node provisioning, scaling, rolling upgrades, and decommissioning automatically. Declare your desired state and the operator converges the cluster.

Infrastructure as Code

Define entire Cassandra topologies in YAML manifests. Version control your cluster configuration, enable GitOps workflows, and reproduce environments consistently across dev, staging, and production.

Self-Healing and Resilience

Kubernetes automatically restarts failed Cassandra pods, reschedules them to healthy nodes, and the operator handles node replacement and data streaming to maintain the replication factor.

Multi-Cloud and Hybrid Deployments

Run Cassandra datacenters across AWS, GCP, Azure, and on-premises Kubernetes clusters. Multi-DC replication with rack-aware placement ensures data locality and disaster recovery.

Cassandra on K8s Key Capabilities

Scaling(Add pods on demand)
Horizontal
Upgrades(Zero-downtime updates)
Rolling
Repairs(Reaper scheduling)
Automated
Backups(S3/GCS/Azure Blob)
Medusa
Monitoring(Metrics + Grafana)
Prometheus
Multi-DC(Cross-cluster peering)
Supported

Our Cassandra on Kubernetes Implementation Process

A proven methodology for deploying production-ready Cassandra clusters on Kubernetes with comprehensive testing and operational readiness.

1

Platform Assessment

Evaluate Kubernetes cluster capacity, storage options, networking topology, and workload requirements. Select the appropriate operator (K8ssandra or Cass Operator) and design the datacenter layout.

2

Operator & Cluster Deployment

Install the operator via Helm, configure CassandraDatacenter CRDs, set up storage classes, resource limits, rack-aware placement, and JVM tuning for optimal Cassandra performance on K8s.

3

Toolchain Integration

Deploy Reaper for repairs, Medusa for backups to S3/GCS, Prometheus and Grafana for monitoring, and configure alerting rules for cluster health, latency, and compaction metrics.

4

Production Hardening

Run failure injection testing, validate backup/restore procedures, configure network policies and RBAC, establish runbooks, and hand off with training and ongoing operational support.

Cassandra on Kubernetes — Frequently Asked Questions

Common questions about running Cassandra on Kubernetes with operators, storage, monitoring, and backups.

Ready to Run Cassandra on Kubernetes?

Let our experts deploy and operate production-grade Cassandra clusters on Kubernetes with automated repairs, backups, monitoring, and multi-datacenter scalability.

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