Welcome!

Agile Computing Authors: Liz McMillan, Pat Romanski, Elizabeth White, Dana Gardner, Andy Thurai

Blog Feed Post

Vote for top 2013 vblogs, thanks for your continued support

Vote for top 2013 vblogs, thanks for your continued support

By Greg Schulz

Vote for Greg Schulz (StorageIO) in top vBlogs

Eric Siebert (@Ericsiebert) author of the book Maximum vSphere (get your copy on Amazon.com here) has opened up voting for the annual top vBlog over at his site (vSphere-land).

Maximum vSphere book by Eric Siebert

While there is a focus on VMware and Virtualization blogs, there are also other categories such as Storage, Scripting, pod casting as well as independent for the non vendors and VARs.

VMware vExpert

It is an honor to be included in the polling along with my many 2012 fellow vExperts on the list.

Last year I made Eric's 2012 top 50 list as well as appearing in the storage and some other categories in those rankings (thanks to all who voted last year).

This year I forgot to nominate myself (it's a self nomination process) so while I am not on the storage, independent bloggers, pod cast sub-categories, I am however included in the general voting having made the top 50 list last year (#46).

A summary of Eric's recommended voting criteria vs. basic popularity are:

  • Longevity: How long has somebody been blogging and posting for vs. starting and stopping.
  • Length: Short quick snippet posts vs more original content, time and effort vs. just posting.
  • Frequency: How often do posts appear, lots of short pieces vs. regular longer ones vs. an occasional post.
  • Quality: What's in the post, original ideas, tips, information, insight, analysis, thought perspectives vs. reposting or reporting what others are doing.

Voting is now open (click here on the vote image) and closes on March 1, 2013 so if you read this or any of my other posts, comments and content or listen to our new pod casts at storageio.tv (also on iTunes).

Vote for Greg Schulz (StorageIO) in top vBlogs

Thank you in advance for your continued support and watch for more posts, comments, perspectives and pod casts about data and information infrastructure topics, trends, tools and techniques including servers, storage, IO networking, cloud, virtualization, backup/recovery, BC, DR and data protection along with big and little data (among other things).

Ok, nuff said.

Cheers gs

Greg Schulz - Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2013 StorageIO All Rights Reserved

Cheers Gs

Read the original blog entry...

More Stories By Greg Schulz

Greg Schulz is founder of the Server and StorageIO (StorageIO) Group, an IT industry analyst and consultancy firm. Greg has worked with various server operating systems along with storage and networking software tools, hardware and services. Greg has worked as a programmer, systems administrator, disaster recovery consultant, and storage and capacity planner for various IT organizations. He has worked for various vendors before joining an industry analyst firm and later forming StorageIO.

In addition to his analyst and consulting research duties, Schulz has published over a thousand articles, tips, reports and white papers and is a sought after popular speaker at events around the world. Greg is also author of the books Resilient Storage Network (Elsevier) and The Green and Virtual Data Center (CRC). His blog is at www.storageioblog.com and he can also be found on twitter @storageio.

IoT & Smart Cities Stories
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...
DXWorldEXPO LLC, the producer of the world's most influential technology conferences and trade shows has announced the 22nd International CloudEXPO | DXWorldEXPO "Early Bird Registration" is now open. Register for Full Conference "Gold Pass" ▸ Here (Expo Hall ▸ Here)
@DevOpsSummit at Cloud Expo, taking place November 12-13 in New York City, NY, is co-located with 22nd international CloudEXPO | first international DXWorldEXPO and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time t...
CloudEXPO New York 2018, colocated with DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to impr...
The challenges of aggregating data from consumer-oriented devices, such as wearable technologies and smart thermostats, are fairly well-understood. However, there are a new set of challenges for IoT devices that generate megabytes or gigabytes of data per second. Certainly, the infrastructure will have to change, as those volumes of data will likely overwhelm the available bandwidth for aggregating the data into a central repository. Ochandarena discusses a whole new way to think about your next...
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and ...
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...