New version of the Cohesity Data Cloud 7.2 brings faster and more efficient data protection
Cohesity, has announced the new version 7.2 of its flagship platform Cohesity Data Cloud. This unified cloud data management platform for securing, managing, and extracting value from data gets a series of enhancements around speed, security, scale, and simplicity to help organisations improving cyber resilience for their entire data estate.
As the number and quality of cyberattacks in Europe continues to increase, companies must meet stricter legal requirements such as DORA and NIS2 for greater cyber resilience. The new version of the Cohesity Data Cloud has been expanded with numerous functions to enable companies to master this balancing act and implement regulatory requirements despite unpredictable threat vectors for all their data, regardless of where it is located.
The most important innovations in the new version, available as self-managed software and SaaS, include better security thanks to OAuth 2.0 support, stronger control and recovery of Kubernetes workloads, and more flexibility and efficiency when deploying in the three major cloud platforms Amazon Web Services, Azure, and Google.
Cohesity’s platform has long embraced “secure by design” principles. Cohesity is elevating this platform security with support for OAuth 2.0 authorisation in the Cluster APIs. For users that automate workflows with Cluster APIs, this offers three main benefits:
• Enhanced security: Reduce the risk of credential theft by using access tokens instead of sharing passwords
• Scalable integration: Simplify connecting automation scripts securely without compromising user data
• Improved session control: Empower admins and security teams to centrally grant and revoke access permissions to their data from their Identity Provider, enhancing trust and compliance
Auth 2.0 with OpenID Connect gives you passwordless authenticated access to Cohesity REST APIs. If organisations use an external identity management system like ADFS, they’ll want to use the feature to configure Single Sign-On (SSO) and add SSO user groups to their Cohesity clusters. By centralising access controls and permissions management, customers can enhance trust and ensure compliance across the board.
Cohesity Data Cloud 7.2 includes effective capabilities for Kubernetes deployments, offering customers more efficiency and control over their backup and recovery workflows.
• Dedicated VLAN support for Kubernetes: Customers can now configure separate VLANs for efficient data traffic management. Create dedicated networks to route backup and recovery traffic seamlessly within the Kubernetes cluster. This feature improves performance and helps you meet service level agreements (SLA) for Kubernetes deployments.
• Granular PVC backup and recovery offer greater customisation: Kubernetes administrators can toggle the inclusion of Persistent Volume Claims (PVCs) within namespaces during the backup and restore processes. Use this feature to strategically select PVCs for backup, improving the effectiveness of your data protection strategy.
For organisations shifting to the cloud for enhanced flexibility, accessibility, and scalability, Cohesity Cloud Edition builds upon existing functionality, offering a robust solution for securing and managing data in the public cloud. It grants customers greater control over deployment while entrusting the underlying infrastructure management to cloud providers. The new version of Cohesity Cloud Edition seamlessly integrates with the control plane, so organisations can centrally administer all your Cohesity clusters no matter where they run. It is now generally available on three major cloud platforms: Amazon Web Services, Azure, and Google.
With this latest release, customers can achieve a lower TCO and better performance offering multiple configurations, up to 200 TByte per node, that simplify operations and reduce overall storage costs. Compared to prior versions of the cloud edition, the new version can help organisations realise over 100% ingest throughput, require up to 50% fewer nodes per cluster, and reduce costs by up to 66% per terabyte.
