HPE NonStop Server

Well we at HPE continue to work from home.  I was doing that anyway so my only change was never going out.  When I do I’m complying with mask recommendations and washing my hands often.  My youngest son is worried about me, which is very endearing.  He always offers to do the shopping but every once in a while you just want to pick your own peaches.  I never appreciated a trip to the store so much.  I’m sure everyone has their own stories to share and hopefully, we may be able to share them at the Bootcamp but we are still waiting to hear if that will be live or virtual.

Just a few months ago, N2TUG was starting to plan for our early summer meeting.  We had barely started the task when events outside our control made our usual in-person, Vendor-sponsored meeting unlikely at best.  We knew we wouldn’t be able to hold it in summer, and started considering the Fall.  In hindsight, even that was a bit too optimistic.

File Integrity Monitoring (FIM) is a foundational requirement for security compliance frameworks to help identify unexpected or malicious activity across critical system files, diagnose unwanted or inadvertent changes, and shut down attacks before they have a chance to cause damage and disruption.

A large European steel tube manufacturer ran its online shop floor operations on an HPE NonStop Server. To exploit the currency and value of this online, trapped, and siloed data, the manufacturer periodically generated reports on Linux Servers using a customized application and connectivity tool that remotely queries the online NonStop Enscribe database and returns the results.

The need to backup, replicate, and recover data has always been historically imperative; today it has become a prioritized concern across all enterprises. Over a span of four decades, storage and backup technologies have had an evolutionary progress; one that has traversed all the way from the traditional reel-to-reel tapes, through disk drives, and their virtual avatars and ultimately, to breakthrough technologies like data deduplication and object storage that has massively reduced data redundancy and overheads…