Portal:Storage

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Welcome to the Storage Wiki. Estimates vary but it’s well documented that spending on storage hardware, software and services exceeds $50B worldwide each year. Storage has always been and continues to be a critical component of the information infrastructure as data and information are the lifeblood of organizations.  
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<meta name="description" content="The Wikibon Data Storage Portal contains data storage industry research, articles, expert opinion, case studies, and data storage company profiles." />
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<meta name="title" content="Data Storage Technology Research: Data Storage Portal" />
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The objective of this wiki is to provide information that fosters excellence in storage practices and leads various user communities to improve people’s lives, both in business and consumer settings. Ultimately, we hope to accelerate the adoption of and improve the application of storage technologies and services.  
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The Wikibon Data Storage Portal contains data storage industry research, articles, expert opinion, case studies, and data storage company profiles.  
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To accomplish this goal we’re focusing on four disciplines:
 
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# [[Storage strategy and planning]] to include the planning, justfication and roadmap for enterprise storage architecture
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'''Latest Information Storage Research'''
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# Best practices for [[storage management]], an ongoing discipline of adhering to clearly defined processes and procedures
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* [http://wikibon.org/wiki/v/Storage_Facts%2C_Figures%2C_Best_Practices%2C_and_Estimates Storage Facts, Figures, Best Practices, and Estimates]
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# The application of key [[storage technology]]
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# Solid [[asset management]] programs that address pricing, negotiation, contract management, license management and terms and conditions across the supplier ecosystem
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This wiki is designed to address these and other issues deemed relevant and noteworthy by this storage community. We encourage contributions that address:
 
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# What is the problem faced by a manager or storage professional?
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{| class="wikitable" style="font-size: 80%; text-align: center; width: 95%;"
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# What are the options available to solve that problem (technologies & practices)?
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![[Image:LinkedIn.gif‎|100px|link=http://www.linkedin.com/groups?gid=835317&trk=hb_side_g]]
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# What are the pros & cons of different solutions?  What other solutions may be available in the future?
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|[[Image:facebook.jpeg|100px|link=http://www.facebook.com/pages/Wikibon/6191646228]]
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# How should the best solution be selected and justified for a given scenario?
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|[[Image:twitter.jpg|100px|link=http://twitter.com/wikibon]]
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# How can the solution be implemented and managed?
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|[[Image:blog-2.jpg|100px|link=http://wikibon.org/blog]]
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# What are examples of best practice, and what resources were needed to achieve it?
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|-
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|[http://www.linkedin.com/groups?gid=835317&trk=hb_side_g >>Join our Group]
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|[http://www.facebook.com/pages/Wikibon/6191646228 >>Become a Fan]
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|[http://twitter.com/wikibon >>Follow @Wikibon]
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|[http://wikibon.org/blog >>Read the Blog]
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|-}
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__NOTOC__
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Please feel free to add new articles or edit existing ones as you see fit. Try to help professionals get more business value out of storage products and services and help consumers enrich their lives through the better application of technology.
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You can start by checking out the [[storage index]] page.
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[[Portal:Information Technology]]
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===Featured Case Study===
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[[Image:Student_union.jpg|250px]]
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==[[Virtualization Energizes Cal State University]]==
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<p style="color: #666;">John Charles is the CIO of California State University, East Bay (CSUEB) and Rich Avila is Director, Server & Network Operations. In late 2007 they were both looking down the barrel of a gun. The total amount of power being used in the data center was 67KVA. The maximum power from the current plant was 75kVA. PG&E had informed them that no more power could be delivered. They would be out of power in less than six months. A new data center was planned, but would not be available for two years. </p>
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[[Virtualization Energizes Cal State University | read more...]]
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{{Storage professional alerts 2}}
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===Featured How-To Note===
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[[Image:Storage_virtualization.jpg|left|250px]]
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==[[Storage virtualization design and deployment|Storage Virtualization Design and Deployment]]==
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<p style="color: #666;">A main impediment to storage virtualization is the lack of multiple storage vendor (heterogeneous) support within available virtualization technologies. This inhibits deployment across a data center.  The only practical approach is either to implement a single vendor solution across the whole of the data center (practical only for small and some medium size data centers) or to implement virtualization in one or more  of the largest storage pools within a data center. 
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</p>
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[[Storage virtualization design and deployment | read more...]]
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|}[[Category:Backup and restore]][[Category: Blade computing]][[Category: Business compliance]][[Category: CDP]][[Category: Careers]][[Category: Careers wikitips]][[Category: Clustered storage]][[Category: Compliance and discovery]][[Category: Enterprise mobile wikitips]]

Current revision as of 00:18, 23 February 2010

The Wikibon Data Storage Portal contains data storage industry research, articles, expert opinion, case studies, and data storage company profiles.


Latest Information Storage Research


>>Join our Group >>Become a Fan >>Follow @Wikibon >>Read the Blog

Contents

Wikitip

Telstra and Cooltrax Provide Bakery Solution

Overview

Brasserie Bread is an award-winning bakery that rose out of Sydney’s Bayswater Brasserie during the 1990s. Today it supplies artisan bread and pastries to 500 restaurants, cafes and delis in Sydney and Canberra, and a growing number in Victoria since opening in South Melbourne in late 2011.

The Problem

In 2006 the business began upgrading its facilities to meet the food safety requirements of HACCP (Hazard Analysis and Critical Control Points), a systematic preventative approach to food safety.

The Sydney bakery was HACCP certified in June 2007, and the Melbourne bakery certified at launch in October 2011. But complying with the HACCP requirements is time consuming. Co-Director and head baker Michael Klausen says his team used to spend up to seven hours each week manually recording coolroom temperatures for HACCP reports. In addition to the compliance requirement, accurate temperature monitoring is crucial for stock control: a single coolroom failure could cost up to $10,000 in lost stock.

The Solution

In 2004 David James joined as a partner, bringing his IT expertise to Brasserie Bread’s processes. James and Klausen knew they wanted to apply what they call ‘the black box’ principle to dough and coolroom temperature management, which meant automating data collection to produce real-time reports and comply with the stringent HACCP requirements.

Launching the Melbourne bakery presented the additional challenge that Klausen and James couldn’t be in two places at once. But a solution presented itself two doors down from their new Melbourne operation. Greg Blampied, an early Brasserie Bread customer and employee of Cooltrax Asia Pacific, recommended they install Cooltrax Universal Monitoring Devices in both bakeries.

This M2M solution provides remote access to real-time temperature data and includes the Telstra Wireless M2M Control Centre™ platform for managing wireless SIM connections. Wireless temperature tags inserted into batches of dough and installed in coolrooms now automatically transmit data via radio frequency to the monitoring devices. In turn, the monitoring devices use Telstra’s Next G™ network to transfer data to the Cooltrax cloud-based service. Brasserie Bread’s team now has 24/7 visibility of all coolrooms and the dough stored in both bakeries – they simply need to access the cloud service with a secure login on any web-enabled device. Crucially, any temperature fluctuation or device failure triggers automatic email and text alerts to bakery and production managers.

Business Benefits: Fast Access Makes Remote Coolroom Monitoring Viable

As the M2M system transmits the temperature of the unit and its product in live-minute intervals, Brasserie Bread has cut the risk of human error in monitoring and reporting dough and coolroom temperatures. “A lot of bakers still work the old-fashioned way, checking the temperature on fridges twice a day,” explains Klausen. “It could look perfect at 9am and 5pm, but during the day it could be completely out of whack and the food could be damaged. So having it measured more frequently is the better way of doing it.” Klausen regularly logs into the system from his iPad or smartphone to check how the fridges are operating.

On-demand data transmissions, from both Sydney and Melbourne, mean he can spot and react to problems immediately, and this has the follow-on effect of reducing energy and maintenance bills. “If I see a fridge isn’t working properly I can book the maintenance guy before it actually damages the motors, saving a lot of money. At the level we operate, we have very high demands on quality and consistency, so it’s imperative we follow processes strictly.” Blampied explains that many of Cooltrax’s food industry clients are all too familiar with the worst-case scenario of a HACCP auditor turning up in the middle of a fridge defrost cycle.

“When an auditor visits they immediately want access to your records – they don’t want excuses. Several clients have mentioned that frequent reporting intervals help improve their audit results. If an auditor measures the temperature of a unit when it is in the middle of a defrost cycle our records can prove that is the case, removing any doubt from the auditor’s mind that the fridge is not running correctly.”

Accurate performance data can also help businesses track the total cost of equipment ownership, from installation to running and maintenance costs. That can also help them decide on future purchases. It takes three days to make a loaf of Brasserie Bread’s organic sourdough using its 16-year-old ‘starter’, which is a naturally occurring wild yeast. Tags directly placed in the dough update the bakers on the status of this living product. Another benefit of having temperature data transmitted continuously into the cloud is that Brasserie Bread’s team can monitor seasonal changes in the dough’s behaviour, even when they’re not onsite. Klausen says the wireless connection from the dough to the monitoring device and then across the Next G network to the cloud eliminates the need for manual monitoring.

“Now we can see it all live on our computer screens,” explains Klausen, “From the core temperature of the dough to the settings on the fridge.” Blampied muses that Klausen is both an artist and a commercial baker: “Michaeal uses good quality product and traditional methods when preparing his breads and pastries, and he also has his eyes open for new technology. He uses the best of both worlds, old and new. Because he does not use additives or artificial enhancers he needs to be more aware of temperature, that’s where we come in.

“We use the Telstra SIMs in the Universal Monitoring Devices to communicate all data back to our servers. The great advantage is Telstra’s coverage. This is great peace of mind for companies with temperature sensitive products because Telstra’s network coverage is very thorough.”

View Another Wikitip

Featured Case Study

Virtualization Energizes Cal State University

John Charles is the CIO of California State University, East Bay (CSUEB) and Rich Avila is Director, Server & Network Operations. In late 2007 they were both looking down the barrel of a gun. The total amount of power being used in the data center was 67KVA. The maximum power from the current plant was 75kVA. PG&E had informed them that no more power could be delivered. They would be out of power in less than six months. A new data center was planned, but would not be available for two years.

read more...

Storage Professional Alerts


Featured How-To Note

Storage Virtualization Design and Deployment

A main impediment to storage virtualization is the lack of multiple storage vendor (heterogeneous) support within available virtualization technologies. This inhibits deployment across a data center. The only practical approach is either to implement a single vendor solution across the whole of the data center (practical only for small and some medium size data centers) or to implement virtualization in one or more of the largest storage pools within a data center.

read more...

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