Zerto For Kubernetes Announced

by Adam Armstrong June 11, 2020

written by Adam Armstrong June 11, 2020

At its annual user conference (and first virtual one) ZertoCON 2020, the company unveiled its plan to extend its enterprise-class VM and cloud IT Resilience Platform to support next generation, cloud native applications. As part of this, the company has announced Zerto for Kubernetes, adding to what they can provide in the realm of data protection. Zerto for Kubernetes is said to be platform-agnostic and enable protecting applications across Microsoft Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (Amazon EKS), Google Kubernetes Engine (GKE), VMware Tanzu, IBM Cloud Kubernetes Service, and Red Hat OpenShift.

Zerto for Kubernetes

Kubernetes is becoming ever more important in production applications. Organizations need a way to efficiently protect, recover, and also move applications and their persistent data for Intelligent Data Management use cases such as accelerated development and delivery within DevOps workflows. Zerto says the addition of Zerto for Kubernetes will unite DevOps and IT infrastructure teams to accelerate their development of highly resilient Kubernetes applications, maximizing their Kubernetes investment to fully leverage all the benefits of containerized applications

Zerto for Kubernetes will include:

Data protection as code: Integrate both data protection and disaster recovery into the application deployment lifecycle from day one
Continuous replication: Always-on replication provides protection and fast recovery of persistent volumes within and between clusters, datacenters, or clouds
Application-centric protection: Beyond protecting the persistent data,protect, move and recover complex applications as one consistent entity, including all associated Kubernetes objects and metadata.
Low RPOs for Kubernetes:Continuous journaling for Kubernetes applications, including Persistent Volumes, StatefulSets, Deployments, Services, and ConfigMaps
Point-in-time restore:Granular journal provides thousands of recovery checkpoints to overcome challenges of synchronous replication while providing more point-in-times than traditional backup
Support ordered recovery of microservices for complex applications
Simplicity: Easy management with powerful kubectl plug-in and native Kubernetes tooling
Non-disruptive recovery and testing:Instantiate a full running copy of an entire application in seconds from any point in time for testing or recovery from data corruption or ransomware without impacting production
Automated workflows:Workflows for failover, failover test, restore, rollback restore, and commit restore