Cote’s first 10 days at Dell

August 25, 2011

A few weeks ago Michael Cote joined Dell from the excellent analyst firm, Redmonk which focuses on software and developers.  Cote who spent five plus years with Redmonk has joined Dell in our corporate strategy group, focusing on software.  I for one am very glad he’s here and feel that he’s joined at the right time in Dell’s trajectory to make a big impact.

I grabbed some time with him to get his initial thoughts and impressions.  Here are his thoughts both witty and wise.

[Note: So there's no confusion, this Michael Cote is Dell's second Michael Cote.  The first is the the former CEO of SecureWorks which Dell acquired.]

Some of the ground Cote covers:

  • Intro: Man is it hot, Cote’s background
  • (0:34) Why Cote made the move: going to the other side of the fence
  • (1:55) What is his new position and what will he be doing: his cloudy focus
  • (2:44) His first impressions: serious about solutions
  • (5:18) What his big goal is while at Dell

Extra-credit reading:


Cloud Foundry picks up Crowbar to speed installation

August 17, 2011

In case you’re not familiar with Cloud Foundry, it’s an open source Platform as a Service project initiated at VMware.  More specifically it provides a platform for building, deploying, and running cloud apps using Spring for Java developers, Rails and Sinatra for Ruby developers, Node.js and other JVM frameworks including Grails.

The project began two years ago when VMware’s CEO Paul Maritz recruited Derek Collison and Mark Lucovsky out of Google and set them to working on Cloud Foundry.  Collison and Lucovsky, who built and maintained Google’s API services, were brought into leverage their experience of working with hugely scaled out architectures.

The Cloud Foundry project has only been public for a matter of months and one question that I’m sure has popped into your mind is what if I want to pilot Cloud Foundry in my own environment, won’t installation and configuration be a total pain?

Enter the Crowbar

Crowbar is an open source software framework developed at Dell to speed up the installation and configuration of open source cloud software onto bare metal systems.  By automating the process, Crowbar can reduce the time needed for installation from days to hours.

The software is modular in design so while the basic functionality is in Crowbar itself, “barclamps” sit on top of it to allow it work with a variety of projects.  The first use for crowbar was for OpenStack and the barclamp for that has been donated to the community.  Next came The Dell | Cloudera solution for Apache Hadoop and, just recently, Dreamhost announced that they currently working on a Ceph barclamp.  And now…

Two great tastes that taste great together

Today’s big news is that VMware is working with Dell to release and maintain a Crowbar barclamp that, in conjunction with Crowbar, will install and configure Cloud Foundry.  This capability, which will include multi-node configs over time, will allow organizations and service providers the ability to quickly and easily get pilots of Cloud Foundry up and running.

Once the initial deployment is complete, Crowbar can be used to maintain, expand, and architect the instance, including BIOS configuration, network discovery, status monitoring, performance data gathering, and alerting.

If you’d like to try out Crowbar for yourself, check out: https://github.com/DellCloudEdge

Press added after initial posting

Extra-credit reading

Pau for now…


Does Hadoop compete with or complement the data warehouse?

August 12, 2011

Dell’s chief architect for big data, Aurelian Dumitru (aka. A.D.) presented a talk at OSCON the week before last with the heady title, “Hadoop – Enterprise Data Warehouse Data Flow Analysis and Optimization.”  The session, which was well attended, explored the integration between Hadoop and the Enterprise Data Warehouse.  AD posted a fairly detailed overview of his session on his blog but if you want a great high level summary, check this out:

Some of the ground AD covers

  • Mapping out the data life cycle: Generate -> Capture -> Store -> Analyze ->Present
  • Where does Hadoop play and where does the data warehouse?  Where do they overlap?
  • Where do BI tools fit into the equation?
  • To learn more, check out dell.com/hadoop

Extra-credit reading


Introducing the Dell | Cloudera solution for Apache Hadoop — Harnessing the power of big data

August 4, 2011

Data continues to grow at an exponential rate and no place is this more obvious than in the Web space.  Not only is the amount exploding but so is the form data’s taking whether that’s transactional, documents, IT/OT, images, audio, text, video etc.   Additionally much of this new data is unstructured/ semi-structured which traditional relational databases were not built to deal with.

Enter Hadoop, an Apache open source project which, when combined with Map Reduce allows the analysis of entire data sets, rather than sample sizes, of structured and unstructured data types.  Hadoop lets you chomp thru mountains of data faster and get to insights that drive business advantage quicker.   It can provide near “real-time” data analytics for click-stream data, location data, logs, rich data, marketing analytics, image processing, social media association, text processing etc.  More specifically, Hadoop is particularly suited for applications such as:

  • Search Quality — search attempts vs. structured data analysis; pattern recognition
  • Recommendation engine — batch processing; filtering and prediction (ie use information to predict what similar users like)
  • Ad-targeting – batch processing; linear scalability
  • Thread analysis for spam fighting and detecting click fraud —  batch processing of huge datasets; pattern recognition
  • Data “sandbox” – “dump” all data in Hadoop; batch processing (ie analysis, filtering, aggregations etc); pattern recognition

The Dell | Cloudera solution

Although Hadoop is a very powerful tool, it can be a bit daunting to implement and use.  This fact wasn’t lost on the founders of Cloudera who set up the company to make Hadoop easier to used by packaging it and offering support.   Dell has joined with this Hadoop pioneer to provide the industry’s first complete Hadoop Solution (aptly named “the Dell | Cloudera solution for Apache Hadoop”).

The solution is comprised of Cloudera’s distribution of Hadoop, running on optimized Dell PowerEdge C2100 servers with Dell PowerConnect 6248 switch, delivered with joint service and support. Dell offers two flavors of this big data solution: Cloudera’s distribution with the free download of Hadoop software, and Cloudera’s enterprise version of Hadoop that comes with a charge.

It comes with its own “crowbar” and DIY option

The Dell | Cloudera solution for Apache Hadoop also comes with Crowbar, the recently open-sourced Dell-developed software, which provides the necessary tools and automation to manage the complete lifecycle of Hadoop environments.  Crowbar manages the Hadoop deployment from the initial server boot to the configuration of the main Hadoop components allowing users to complete bare metal deployment of multi-node Hadoop environments in a matter of hours, as opposed to days. Once the initial deployment is complete, Crowbar can be used to maintain, expand, and architect a complete data analytics solution, including BIOS configuration, network discovery, status monitoring, performance data gathering, and alerting.

The solution also comes with a reference architecture and deployment guide, so you can assemble it yourself, or Dell can build and deploy the solution for you, including rack and stack, delivery and implementation.

Some of the coverage (added Aug 12)

Extra-credit reading

 

Pau for now…


Dell’s Modular Data Center powers Bing Maps

August 1, 2011

Late last week we announced that Dell’s Data Center Solutions group had outfitted Bing Maps’ uber-efficient, uber-compact data center (or as Microsoft calls it  “microsite”), located in Longmont, Colorado.  The facility is a dedicated imagery processing site to support Streetside, Bird’s Eye, aerial and satellite image types provided by Bing Maps.  The site’s key components are Dell’s Modular Data Centers and Melanox Infiniband networking.

Brad Clark, Group Program Manager, Bing Maps Imagery Technologies described their goal for the project, “Our goal was to push technological boundaries, to build a cost effective and efficient microsite.  We ended-up with a no-frills high-performance microsite to deliver complicated geospatial applications that can in effect ‘quilt’ different pieces of imagery into a cohesive mosaic that everyone can access.”

Keeping things cool

The challenge when building out the Longmont site was to design a modular outdoor solution that was optimized for power, space, network connectivity and workload performance.

The modules that Dell delivered use a unique blend of  free-air with evaporative cooling technology, helping to deliver world-class efficiency and a Power Usage Effectiveness (PUE) as low as 1.03.

To watch the whole site being built in time-lapse check this out:

Extra-credit reading


OSCON: The Data Locker project and Singly

August 1, 2011

Who owns your data?  Hopefully the answer is you and while that may be true it is often very difficult to get your data out of sites you have uploaded it to and move it elsewhere.  Additionally, your data is scattered across a bunch of sites and locations across the web, wouldn’t it be amazing to have it all in one place and be able to mash it up and do things with it?   Jeremie Miller observed these  issues within his own family so, along with a few friends, he started the Data Locker project and Singly (Data Locker is an open source project and Singly is the commercial entity behind it).

I caught up with Jeremie right after the talk he delivered at OSCON.  Here’s what he had to say:

Some of the ground Jeremie covers:

  • The concept behind the Data Locker project, why you should care
  • How the locker actually works
  • The role Singly will play as a host
  • Where they are, timeline-wise, on both the project and Singly

Extra-credit reading

Pau for now…


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