Last week I told you about the new SME File Fabric Workflow Approval feature. Today’s topic is another new collaboration feature, Share for Edit.
Did you miss the OpenStack Summit Boston?
Catch the Storage Made Easy video briefing on the Summit!
HIPAA (the Health Insurance Portability and Accountability Act), sets the standard for protecting sensitive patient data. Any company that handles protected health information (PHI) must ensure that strict protocols and protective security measures are adhered to. But maintaining the HIPAA standards of security over electronic information can be difficult especially with outdated storage systems.
Data Governance policies play a key role in all organisations that handle digital information. Ensuring you have strong Data Governance policies is one thing, but how do you implement them? Being unable to implement them properly exposes your company to threats, whether they be internal, or external.
Object Storage is the way forward for all your storage needs, it’s adaptable meaning it grows with your storage needs, it’s economical, being that you only pay for what you need, but it does also have a number of drawbacks. Object Storage is not easily accessible to end users, and often it lacks auditing controls, which can open your business up to a whole range of problems around security and governance of data.
So what do you do? Struggle on with Block storage that is often increasingly difficult to enlarge when your company grows? Or move to Object storage and struggle to keep control over your data?
Lately we’ve been working very closely with RedHat’s Ceph Rados storage and it’s librados API, where we’re seeking an ever closer integration with the backend storage to utilise many of Ceph’s benefits.
However lately, we hit a issue where one of our customers had configured their Pool to be erasure coded. Erasure coding is a form of data protection and data redundancy whereby the original file or object is split up into a number of parts, and distributed across a number of storage nodes, either within the same data-centres or across multiple multiple data-centres and regions.