by Adam Armstrong

Veeam Introduces Veeam DataLabs

Today at VeeamON 2018 in Chicago, IL, Veeam software unveiled its vision of the Hyper-Available Enterprise. A key component of this vision was also unveiled today with the Veeam DataLabs. DataLabs will allow developers to create new instances of their production environments to validate updates, security vulnerabilities, forensics and GDPR compliance. This new capability can help to deliver value to the business in the form of accelerating innovation, improving operational efficiencies, reducing risk, and optimizing resources.  

Veeam has had its Virtual Labs for some time, the ability to create production-like instances of virtual environments on-demand. Veeam DataLabs takes this functionality and expands it to include use cases and business value. DataLabs creates isolated sandboxes where new things can be tried out in an effort to accelerate innovations without risking actual workloads. Like the greater purpose of Hyper-Availability, DataLabs also takes reactive data protection and attempts to transform it into proactive value-added service. 

Veeam DataLabs allows developers to spin up instances of production environments with the latest data so they can design new features. New patches and updates can also be tested in the sandbox environment before they go live. From a security side, data can be tested for vulnerabilities or if there is an incident, forensics can be ran on it to see what went wrong. Compliance and regulations are becoming more of an issue, especially with the growth of Cloud usage and the introduction of GDPR. To this end, DataLabs can be used to examine and classify data for both regulations and compliance and capacity planning purposes. All of the above can be done with no disruptions to production systems. 

While all of the above may sound good to most readers, they may want to know how this interacts with their storage. Veeam DataLabs leverages the Universal Storage APIs to integrate with Veeam’s storage partners such as Cisco, HPE, IBM, NetApp, Pure Storage, and others. 

Veeam DataLabs

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