Welcome!

Industrial IoT Authors: Elizabeth White, Stackify Blog, Yeshim Deniz, SmartBear Blog, Liz McMillan

Related Topics: Industrial IoT, Linux Containers, @CloudExpo

Industrial IoT: Blog Feed Post

Everyone Should Be Skeptical About Cloud Service Providers

The truth is - although I'm not the "cloud police" - not all managed storage services are created equal

As we plummet down into Gartner's "trough of disillusionment", the cloud skeptics are making their voices heard. Although my professional focus is at the forefront of the cloud storage wave, I can not disagree with the content of articles with sensational headlines like "Cloud Storage: It's Strictly For Airheads" and "Why Cloud Storage Use Could Be Limited in Enterprises". The authors are doing exactly what everyone should be doing: Questioning the viability and suitability of cloud storage in the enterprise.

The truth is, although I'm not the "cloud police", not all managed storage services are created equal. In fact, lots of them are, to put it bluntly, not worth much. Many cloud backup and archiving services use bare un-protected disk drives to store data, have no redundancy built into the system, and try to scrape up every cent by using home-brewed hardware. This is especially true in the consumer space, where bargain-basement (or even free) pricing has driven a race to the bottom in terms of quality. No business should use junky consumer solutions.

Even service providers that presume to sell in the enterprise market often miss the mark. Forgetting the inappropriate per-month credit card billing method and laughably poor support services, many providers adamantly refuse to comply with basic corporate governance principles. Why would a business use a service that won't tell them where their data is, won't allow their auditors to examine both the processes and data centers in use, and won't stand up service level agreements (SLAs)? If your service is not enterprise-grade, you have no business selling to the enterprise! No wonder corporate folks are scared of the cloud.

Subpar offerings from flaky vendors hurt the whole industry. So let's take a look at what the business cloud storage skeptics are saying, and how the enterprise managed storage service providers can respond:

  • Data integrity is a must. Let's say you sold buckets for a living, but one out of 12 had holes in it. How long would you be in business? Amazingly, many cloud storage solutions lack both redundancy and integrity checks and use big bare disks to hold data. These buckets have holes, and data loss is a certainty. Fixing this issue is straightforward: All cloud storage should include parity protection, redundancy, and integrity checks. Business storage systems commonly use RAID to protect against disk media failures, but massive-scale cloud solutions must do even better. Cloud storage must also save multiple copies of data, preferrably automatically distributing it geographically according to SLAs. And I wouldn't be able to sleep at night without proactive integrity checking and data scrubbing.
  • Geographic dispersion of data has implications beyond data protection, though, so cloud providers must also include policy engines to drive governance and compliance. Since compliance with privacy and similar laws is based on physical location, businesses must know where their data is at all times. You can't have data growing legs and traveling, sometimes across national borders. In contrast to the old storage service providers (SSPs) of a decade ago, cloud storage systems are inherently policy-friendly. Objects, metadata, and policy-driven data management are becoming more common, enabling even better data governance than traditional enterprise storage systems. I bet your SAN or NAS system can not enforce your SLAs for geographic dispersion, keeping this data type in New Jersey and replication that other one to California but allowing only a third to cross to Europe.
  • Cloud storage services must be managed and operated better than enterprise systems, not worse. I cringed when I heard tales of the T-Mobile/Microsoft/Danger servers and SAN storage "sitting in a corner" with no knowledgeable staff, no operations focus, and a looming migration. Of course it failed! From an operations standpoint, I love that a humongous and homogenous storage infrastructure can be managed by just a few focused, educated, and talented individuals. That's what cloud storage is all about! Neglected systems have no business in production, especially at a service provider.
  • Managed services must allow auditors to verify their claims. I am a car nut, so I definitely wouldn't trust a garage who whisked my car off to an undisclosed location so unseen mechanics could work on it. I wouldn't eat at a restaurant that didn't allow the health department to inspect it. So why would I put blind faith in a managed service provider who held my critical data? Cloud vendors must perform their own security and operations audits and allow their customers to do the same. You can't pass the buck on governance: If you require SAS70 or PCI or a third-party audit, then your service providers must step up and allow it, too.

I'm mad, and I'm throwing down the gauntlet. I want every service provider to start now, protecting data, upholding policy, demonstrating operational excellence, and allowing audits. Anyone who doesn't is a disgrace to the industry, and their customers ought to seriously reconsider where they place their data. Mark me down as a cloud skeptic!

By the way, I work for a managed storage service/cloud storage provider, Nirvanix. But I'm a long-time enterprise storage consultant and would not work here if the company couldn't live up to these must-have requirements.

Read the original blog entry...

More Stories By Stephen Foskett

Stephen Foskett has provided vendor-independent end user consulting on storage topics for over 10 years. He has been a storage columnist and has authored numerous articles for industry publications. Stephen is a popular presenter at industry events and recently received Microsoft’s MVP award for contributions to the enterprise storage community. As the director of consulting for Nirvanix, Foskett provides strategic consulting to assist Fortune 500 companies in developing strategies for service-based tiered and cloud storage. He holds a bachelor of science in Society/Technology Studies, from Worcester Polytechnic Institute.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...