Tag Archives: Center

Hot Storage Skills For The Modern Data Center


The world of data storage is evolving faster than dinosaurs after the asteroid struck. Much of the old storage “theology” is on the block as we move to a world of solid-state, software-defined, open source, cloudy appliances and leave RAID arrays behind. That inevitably means that the skills needed to be a successful storage administrator also are changing.

Let’s first look at some timelines. Solid state is already mainstream and 2017 will see a massive jump in usage as 3D NAND hits its stride. With the industry promising 100 TB 2.5 inch SSDs in 2017, even bulk storage is going to change from hard-disk drives. Software-defined storage (SDS) is really just getting started, but if its networking equivalent (SDN) is a guide,  we can expect to see it gain traction quickly.

Open source code, such as Ceph and OpenStack, is already a recognized business alternative. Cloud storage today is mainstream as a storage vehicle for cold data, but still emerging for mission-critical information. This year, we can expect OpenStack hybrid clouds to transition to production operations with the arrival of new management tools and approaches to storage.

Coupled with these storage changes are several transitions under way in servers and networking. The most important is the migration of virtual instances to the container model. Not only do containers impact server efficiency, the ability to manage them and integrate data and network storage resources across the hybrid environment is going to be an in-demand skill in the next-generation data center.

One poorly understood but important issue is how to tune performance in the new environment. We are still getting the wheels to turn in so much of this new stuff, but at some point the realization will hit that a well-tuned data management approach will prevent many of the ills that could arise in performance and security.

In this environment, demand for many traditional storage skills will decline. With cloud backup and archiving rapidly becoming standard, anything to do with traditional backup and tape libraries has to top the list of skills on the way out. Tape has been declared dead regularly for decades, but now the low prices and built-in disaster recovery benefits of the cloud make any tape-based approach impractical.

RAID-based skills are in the same boat. Array sales are dropping off as small Ethernet appliances make for more flexible solutions. In fact, the block-IO model, which struggles to scale, is in decline, replaced by REST and object storage. Skills ranging from building Fibre-Channel SANs to managing LUNs and partitions will be less needed as the decline of the traditional SAN occurs, though IT is conservative and the SAN will fade away, not instantly disappear.

NAS access is in many ways object storage with a different protocol to ask for the objects. While the file model will tend to stick around, just as block-IO will take time to go away, increasingly it will be offered on an object platform, which means that a NAS admin will need to become skilled with object storage approaches.

Continue on to find out what data storage skills will be in demand in the years ahead.

(Image: Mark Agnor/Shutterstock)



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Toward the Self-Driving Data Center


Like self-driving cars, the data center that runs itself, manages itself and calls for help when needed is not far away. Even complex IT infrastructure that is notoriously difficult to upgrade and maintain is being automated, converged, made into building blocks or stacks, and managed via software, not hardware.

Visionaries have suggested that the self-driving data center is as inevitable as the self-driving vehicle, as IT staffs admit that machines can do most anything better than a human, and start putting the machines to work. Doing so enables agility – that most essential IT building block – so that leaders can respond to a changing business universe. Even for those “humanists” who disagree that machines can perform IT manager tasks better, the efficiency gained from offloading repetitive functions, or making connections between often unrecognized, disparate events, frees organizations to serve customers at a higher level.

Similar to vehicles, data centers are well along their march toward full self-driving capability, and a continuum of automation and analytics-based solutions is in place to save time, hassle and costs. Using the storage industry as an example, the continuum of new devices, virtualization, alerting, and orchestration technologies enable successively greater machine direction of resources, and less overt IT staff involvement.

Six key technologies are evolving that most challenging IT domain – data storage – further along the continuum of more fully autonomous operations. They are turning IT managers into business agility agents whose work enables their organizations to achieve higher aims.

(Image: Timofeev Vladimir/Shutterstock)



Source link

Toward the Self-Driving Data Center


Like self-driving cars, the data center that runs itself, manages itself and calls for help when needed is not far away. Even complex IT infrastructure that is notoriously difficult to upgrade and maintain is being automated, converged, made into building blocks or stacks, and managed via software, not hardware.

Visionaries have suggested that the self-driving data center is as inevitable as the self-driving vehicle, as IT staffs admit that machines can do most anything better than a human, and start putting the machines to work. Doing so enables agility – that most essential IT building block – so that leaders can respond to a changing business universe. Even for those “humanists” who disagree that machines can perform IT manager tasks better, the efficiency gained from offloading repetitive functions, or making connections between often unrecognized, disparate events, frees organizations to serve customers at a higher level.

Similar to vehicles, data centers are well along their march toward full self-driving capability, and a continuum of automation and analytics-based solutions is in place to save time, hassle and costs. Using the storage industry as an example, the continuum of new devices, virtualization, alerting, and orchestration technologies enable successively greater machine direction of resources, and less overt IT staff involvement.

Six key technologies are evolving that most challenging IT domain – data storage – further along the continuum of more fully autonomous operations. They are turning IT managers into business agility agents whose work enables their organizations to achieve higher aims.

(Image: Timofeev Vladimir/Shutterstock)



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