Elements of DevOps: Cost

Cost is always an essential element. And it’s not unusual for customers to see expected costs for projected storage additions evaporate after an Actifio deployment. It typically starts first in the realm of excess copy data being eliminated from backup or disaster recovery.

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Copy data belongs in the cloud. Manage it there with Actifio.

We made two big press announcements today, something we rarely do. The first launched Actifio Sky for AWS, a new offering available on the Amazon Web Services Marketplace that will let customers virtualize their copy data right within the Amazon cloud. The second announced a relationship with Google Cloud Platform that will make their Cloud Storage Nearline service available as a one-click vaulting option from directly within the Actifio platform.

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Elements of DevOps: Control

The third of our four essential application development elements is Control. It means quite simply that data is available to authorized users for sanctioned purposes and fully restricted from any unauthorized use or for any unauthorized purpose.

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Elements of DevOps: Quality

The transition of application development to a comprehensive DevOps environment is a natural but not necessarily smooth progression and Quality is no less important than Speed. The intent is simple; accelerate quality software development. Catch and fix bugs early. Minimize last minute surprises. Release products on time.

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Elements of DevOps: Speed

Classical elements were once seen across many cultures as the vital parts and principles that govern the fundamental distillation of everything essential to life. In western culture those elements were Earth, Air, Fire and Water. The concept helped philosophers to organize their worldviews – to think about what is important and create a construct for understanding the world.

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Data Migration and Merging Data Centers

If you’ve ever had to do it, you know that data migration is one of the trickiest IT challenges. Add in moving and consolidating multiple data centers and it’s an ordeal that invites dark humor and increased sleep deprivation. But IT professionals are stoic, if nothing else, so they wade into these projects optimistically. Now we can’t say we have made these ventures simple, but we have made them simpler.

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Applications: Living Well in Retirement

COBOL, a dead programming language, right? Well yes. Sort of. According to the Wall Street Journal, “Eighty percent of the world’s daily business transactions rely on a 59-year-old programming language called COBOL …” So, like mainframe computers and tape, it may not be cool but it isn’t dead.

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Application Recipes and Refinements

Think of applications as the essential services that feed a business - food. Of course food isn’t one thing, one ingredient, but a very long list of fruits and vegetables and meat and spices, and, for some of us, beer. With few exceptions, the ingredients are more satisfying when combined, cooked. In fact cooking has often been used as an appropriate analogy for application development. It follows a cycle of need, preparation, creation, testing, troubleshooting and adjustment. Some recipes are favored and refined. Some retired for good. End-user feedback is always the critical test.

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The Application Development Time Machine

Late last year Actifio introduced new product enhancements for Oracle environments. The updates were very well received by industry analysts and helped promote Actifio to Platinum Oracle Partner status. What Oracle recognized, many Actifio clients already experienced – robust capabilities to deliver data virtualization solutions that dramatically advance business agility and resiliency. But customer conversations were also highlighting another top-of-mind topic of customer interest - application development.

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DevOps II – Virtualizing on an Ancient Concept

As DevOps has become the preferred application development method, a key question – not a new one - has been around production data access. How quickly and safely can we furnish access to needed production data? That’s where data virtualization comes in.

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