Run Production-Grade Databases on Kubernetes
Backup and Recovery Solution for Kubernetes
Backup and Recovery Solution for Kubernetes
Run Production-Grade Vault on Kubernetes
Secure Ingress Controller for Kubernetes
Kubernetes Configuration Syncer
KubeDB simplifies Provisioning, Upgrading, Scaling, Volume Expansion, Monitor, Backup, Restore for various Databases in Kubernetes on any Public & Private Cloud
A complete Kubernetes native disaster recovery solution for backup and restore your volumes and databases in Kubernetes on any public and private clouds.
A complete Kubernetes native disaster recovery solution for backup and restore your volumes and databases in Kubernetes on any public and private clouds.
KubeVault is a Git-Ops ready, production-grade solution for deploying and configuring Hashicorp's Vault on Kubernetes.
Secure Ingress Controller for Kubernetes
Kubernetes Configuration Syncer
New to KubeDB? Please start here . 💡 Note: The deletion policy is the same for all kubedb supported databases. Here, an example for PostgreSQL is included to show how users can use this feature. Using Database Deletion Policy KubeDB supports setting a deletion policy for all supported databases. This guide will help you choose the appropriate deletion policy to manage your database workloads safely, while aligning with your organization’s data retention and disaster recovery requirements.
Overview KubeDB is the Kubernetes Native Database Management Solution which simplifies and automates routine database tasks such as Provisioning, Monitoring, Upgrading, Patching, Scaling, Volume Expansion, Backup, Recovery, Failure detection, and Repair for various popular databases on private and public clouds. The databases supported by KubeDB include MongoDB, Elasticsearch, MySQL, MariaDB, Redis, PostgreSQL, Solr, Microsoft SQL Server, FerretDB, SingleStore, Percona XtraDB, and Memcached. Additionally, KubeDB also supports ProxySQL, PgBouncer, Pgpool, ZooKeeper and the streaming platform Kafka, RabbitMQ.
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Deploy, manage, upgrade Kubernetes on any cloud and automate deployment, scaling, and management of containerized applications.