Free Database Audit

Request the Free Audit

MongoDB on Kubernetes

MongoDB on Kubernetes

In short: Running MongoDB on Kubernetes means using an operator — the MongoDB Community Operator or the Percona Operator for MongoDB — to deploy replica sets (or sharded config-server, shard, and mongos tiers) as StatefulSets. Each pod gets a PersistentVolumeClaim, with headless Services for discovery, automated elections, rolling upgrades, and PBM point-in-time backups.

Deploy and manage production MongoDB on Kubernetes with operator-driven automation, Helm charts, replica sets, and sharded clusters for cloud-native scalability and resilience.

Auto-Sharding
Horizontal Scale
Replica Sets
High Availability
Rolling Upgrades
Zero Downtime

Comprehensive MongoDB on Kubernetes Services

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

Operator Deployment

Deploy and configure MongoDB operators for automated lifecycle management on Kubernetes

  • MongoDB Community Operator setup
  • MongoDB Enterprise Operator deployment
  • Percona Operator for MongoDB installation
  • Custom resource definition (CRD) configuration

Helm Chart Management

Customized Helm chart deployment with production-grade configuration and tuning

  • Helm chart customization and overrides
  • Values file management per environment
  • MongoDB configuration tuning (mongod.conf)
  • Resource limits, requests, and affinity rules

Replica Sets & Sharding on K8s

Design and deploy MongoDB replica set topologies and sharded clusters on Kubernetes

  • Replica set topology and member sizing
  • Sharded cluster with config servers and mongos
  • Shard key design and balancer tuning
  • Cross-zone and cross-region replica placement

Storage & Persistence

Persistent volume configuration optimized for MongoDB WiredTiger engine performance

  • PVC and StorageClass configuration
  • WiredTiger cache sizing and tuning
  • Separate journal volume mounts
  • Volume expansion and snapshot policies

Monitoring on K8s

Full-stack MongoDB observability with Prometheus, Grafana, and dedicated exporters

  • MongoDB Exporter for Prometheus
  • Grafana dashboard provisioning
  • Oplog lag and replication alerting
  • WiredTiger cache and connection metrics

Backup & DR

Automated backup pipelines and disaster recovery for MongoDB on Kubernetes

  • mongodump CronJobs on K8s
  • Percona Backup for MongoDB (PBM) setup
  • S3-compatible backup storage
  • Point-in-time recovery (PITR) configuration

MongoDB Kubernetes Operators Compared

Choose the right operator for your MongoDB on Kubernetes deployment based on your licensing, feature, and support requirements.

Open Source

MongoDB Community Operator

Official MongoDB operator for community edition

Replica set lifecycle management
StatefulSet-based pod orchestration
TLS and authentication configuration
Rolling upgrades and scaling
Prometheus metrics endpoint
Custom storage configuration
Kubernetes-native custom resources
Community-supported, Apache 2.0 license

Best for: Open-source deployments, replica sets, standard workloads

Commercial

MongoDB Enterprise Operator

Official enterprise operator with Ops Manager integration

Replica sets and sharded clusters
Ops Manager / Cloud Manager integration
LDAP and x.509 authentication
Encryption at rest
Database auditing
Automated backups via Ops Manager
Rolling upgrades and scaling
MongoDB commercial support

Best for: Enterprise edition, Ops Manager, compliance and auditing

Full-Featured Open Source

Percona Operator for MongoDB

Enterprise-grade operator with built-in backup and sharding

Replica sets and sharded clusters
Percona Backup for MongoDB (PBM) integration
Point-in-time recovery (PITR)
PMM monitoring integration
Multi-cluster replication
Automated volume expansion
HashiCorp Vault secrets integration
Fully open-source, community + enterprise support

Best for: Sharded clusters, backup/PITR, enterprise-grade open source

Our MongoDB on Kubernetes Implementation Process

A proven methodology for deploying production-ready MongoDB on Kubernetes with operator-driven automation and comprehensive validation.

1

Assessment & Planning

Evaluate workload requirements, data volume, availability targets, and K8s cluster topology. Select the right operator, storage class, and replica set or sharded architecture.

2

Operator & Cluster Deployment

Install the chosen operator via Helm, configure custom resources for replica sets or sharded clusters, set up PVCs, TLS, authentication, and network policies.

3

Integration & Validation

Migrate data, validate application connectivity, test failover scenarios, configure backups to S3, and set up Prometheus/Grafana monitoring and alerting.

4

Production Go-Live & Support

Cut over to production with runbooks, backup verification, scaling procedures, and ongoing 24/7 monitoring and support for your MongoDB K8s deployment.

MongoDB on Kubernetes — Frequently Asked Questions

Common questions about running MongoDB on Kubernetes with operators, Helm charts, and production best practices.

Ready to Run MongoDB on Kubernetes?

Let our experts deploy and manage production MongoDB on Kubernetes with operator-driven automation, automated backups, and enterprise-grade monitoring.

Explore all MongoDB services

Need a different MongoDB service? Browse our complete offerings.