Tag Archives: Center

Data Center Transformation at ConocoPhillips


IT leaders at ConocoPhillips were already working on a major data center consolidation initiative before oil prices plummeted. The company couldn’t keep adding storage and servers; it just wasn’t sustainable, especially for a company that was looking to get serious about the cloud. The industry downturn added urgency to their efforts.

That meant taking some dramatic action in order to cut IT operating costs and save jobs, according to Scott Duplantis, global IT director of server, storage and data center operations at ConocoPhillips. The transformation, which focused on two data centers in the US, included fast-tracking adoption of newer technology like all-flash arrays with full-time data reduction, and refreshing compute platforms with a control-plane software that manages virtual CPU and memory allocations.

All the hard work combined with a fearless approach to data center modernization paid off: The company reduced its data center footprint by more than 50%, slashed its SAN floor space consumption by 80%, cut its power and cooling costs by $450,000 a year, improved reliability, and saved jobs along the way, all in about 30 months.

“We have fewer objects under management, which means not having to add staff as we continue to grow,” Duplantis said. “Our staff can do a better job of managing the infrastructure they have, and it frees them up to pursue cloud initiatives.”

ConocoPhillips’ data center transformation initiative earned first place in the InformationWeek IT Excellence Awards infrastructure category.

Reducing the storage footprint

For its storage-area network, network-attached storage, and backup and recovery, ConocoPhillips traditionally relied on established storage vendors. The SAN alone had 62 racks of storage between the two data centers.

ConocoPhillips decided that flash storage was the way to go, and conducted a bakeoff between vendors that had the features it wanted: ease of management, data deduplication and compression, replication, and snapshotting. The company wound up choosing a relatively new vendor to supply all-flash storage for its SAN, and buying AFAs from one of its incumbent vendors for its NAS. The company also focused on buying larger controllers, which when combined with the flash, provided better performance and reduced the number of objects the staff has to manage.

The work reduced raw SAN storage from 5.6 to 1.8 petabytes. Altogether, the consolidation cuts down on object maintenance and support contracts tied to storage hardware.

Improved power and cooling efficiency from the flash storage adoption has ConocoPhillips revaluating how its data centers are cooled. “We have to do some reengineering in our data centers to accommodate for almost half of the power footprint they had, and a significant drop in heat because these all-flash arrays don’t generate much heat at all,” he said.

The company also is relearning how to track and trend storage capacity needs; with full-time data reduction, measuring capacities has become a bit tricky.

While some argue that flash has a limited lifecycle, ConocoPhillips has experienced improved SAN storage reliability, Duplantis said. 

Server consolidation

On the compute side, ConocoPhillips deployed faster, more powerful servers, along with the control-plane technology that automates the management of CPU and memory workloads. Virtual server densities shot up dramatically, from 20:1 to 50:1.

The control-plane technology, from a startup, provides a level of optimization that goes beyond human scale, according to Duplantis. Combined with the flash storage, it’s helped cut performance issues to near zero.

“You really can’t just stick with the mainstream players,” he advised. “In the industry today, a lot of the true innovation is coming out of the startup space.”

Lessons learned

While the data center modernization project went smoothly for the most part, without disrupting end users, there were some hiccups with the initial flash deployment. Duplantis said the company was pleased with the support they received from the vendor, which was especially important given that the vendor was newer.

Internally, the data center transformation did require a culture shift for the IT team. IT administrators become attached to the equipment they manage, so they need to see a lot of proof that the new technology is reliable and easy to manage, Duplantis said.

“Today, we understand mistakes are made and technology can fail,” he said. “Once they saw they could take a chance and wouldn’t be in trouble if it didn’t work perfectly, they could breathe easy.”

The fact that jobs were saved amid the economy downturn with all the cost-cutting measures turned employees into champions for the new technology, he said. “They see they’re part of the process that helped save jobs, save costs, and increase reliability,” he said.

Looking ahead

ConocoPhillips plans to continue to right-size its storage and virtual server environments; the process is now just part of the corporate DNA. On the virtual side, the team examines the number of hosts every month and decides to either keep them on premises or put them in a queue for the cloud, Duplantis said.

The team also is working to build up its cloud capability to ensure it’s ready when the economy picks up and the company increases its drilling activity. “We want to be nimble and agile when the business needs it,” he said.



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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)



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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)



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