Friday the 22nd of February 2019 saw Spectrum Protect Plus 10.1.3 launched and it’s a release that again see’s the product take some major steps forward in terms of functionality.
The 6 big headlines of the release were:
- Multi Cloud offload with the ability to offload data to IBM Cloud Object Storage, IBM Cloud Object Storage WORM, Amazon S3 and Microsoft Azure for long-term data retention and disaster recovery
- Support for Microsoft Exchange Server including individual mailbox item-level restore functionality
- Optimised offload to IBM Spectrum Protect Server, removing the need for Spectrum Protect for Virtualized environments to perform the offload and enabling enhanced parallel streaming for much quicker offloads
- Support for MongoDB enables protection and reuse of business-critical data stored in MongoDB databases
- High availability of IBM Spectrum Protect Plus Server through VMware and Hyper-V high-availability services
- Enhanced RESTful API enables easier and faster time to value for reporting and analytics
A full list of all of the enhancements in 10.1.3 are available via https://www.ibm.com/support/knowledgecenter/en/SSNQFQ_10.1.3/spp/r_techchg_spp.html
Data protection is a key business function that enables business owners and executives to sleep safe at night knowing that in the event of data loss their data can be recovered back to an acceptable recovery point, providing regular recovery testing is taking place!
For many businesses in this day and age an acceptable recovery point is no longer days or hours but minutes or even seconds and that's due to how essential data now is to businesses in the data age. This is a result of the way data is being generated via all of us and our owned devices, that data is then harvested via organisations to gain competitive advantage and grow businesses further.
Google, Amazon, Facebook, Uber and Tesla are the sorts of companies who are leaders of the data economy and are harvesting data to its full extent and continue to find ways of growing their business via data.
