Home > big data, Cloud Computing, hadoop, Innovation, open source, openstack, Tech > Tech in Real Life: Content Delivery Networks, Big Data Servers and Object Storage

Tech in Real Life: Content Delivery Networks, Big Data Servers and Object Storage

.

This is a duplicate of a blog I authored for HP, originally published at hp.nu/Lg3KF.

In a joint blog authored with theCube’s John Furrier and Scality’s Leo Leung, we pointed out some of the unique characteristics of data that make it act and look like a vector.

At that time, I promised we’d delve into specific customer uses for data and emerging data technologies – so let’s begin with our friends in the telecommunications and media industries, specifically around the topic of content distribution.

But let’s start at a familiar point for many of us…

If you’re like most people, when it comes to TV, movies, and video content, you’re an avid (sometimes binge-watching) fan of video streaming and video on-demand.  More and more people are opting to view content via streaming technologies.  In fact, a growing number of broadcast shows are viewed on mobile and streaming devices, as are a number of live events, such as this year’s NCAA basketball tournament via streaming devices.

These are fascinating data points to ponder, but think about what goes on behind them.

How does all this video content get stored, managed, and streamed?

Suffice it to say, telecom and media companies around the world are addressing this exact challenge with content delivery networks (CDN).  There are a variety of interesting technologies out there to help develop CDNs, and one interesting new technology to enable this is object storage, especially when it comes to petabytes of data.

Here’s how object storage helps when it comes to streaming content.

  • With streaming content comes a LOT of data.  Managing and moving that data is a key area to address, and object storage handles it well.  It allows telecom and media companies to effectively manage many petabytes of content with ease – many IT options lack that ability to scale.  Features in object storage like replication and erasure coding allow users to break large volumes of data into bite size chunks, and disperse it over several different server nodes, and often times, several different geographic locations.  As data is needed, it is rapidly re-compiled and distributed as needed.
  • Raise your hand if you absolutely love to wait for your video content to load.  (Silence.)  The fact is, no one likes to see the status bar slowly creeping along, while you’re waiting for zombies, your futbol club, or the next big singing sensation to show up on the screen.  Because object storage technologies are able to support super high bandwidth and millions of HTTP requests per minute, any customer looking to distribute media is able to allow their customers access to content with superior performance metrics.  It has a lot to do with the network, but also with the software managing the data behind the network, and object storage fits the bill.

These are just two of the considerations, and there are many others, but object storage becomes an interesting technology to consider if you’re looking to get content or media online, especially if you are in the telecom or media space.

Want a real life example? Check out how our customer RTL II, a European based television station, addressed their video streaming challenge with object storage.  It’s all detaile here in this case study – “RTL II shifts video archive into hyperscale with HP and Scality.”  Using HP ProLiant SL4540 big data servers and object storage software from HP partner Scality, RTL II was able to boost their video transfer speeds by 10x

Webinar this week! If this is a space you could use more education on, Scality and HP will be hosting a couple of webinars this week, specifically around object storage and content delivery networks.  If you’re looking for more on this, be sure to join us – here are the details:

Session 1 (Time-friendly for European and APJ audiences)

  • Who:  HP’s big data strategist, Sanjeet Singh, and Scality VP, Leo Leung
  • Date:  Wed, Apr 8, 2015
  • Time:  3pm Central Europe Summer / 8am Central US
  • Registration Link

Session 2 (Time-friendly for North American audiences)

  • Who:  HP Director, Joseph George, and Scality VP, Leo Leung
  • Date:  Wed, Apr 8, 2015
  • Time: 10am Pacific US / 12 noon Central US
  • Registration Link

And as always, for any questions at all, you can always send us an email at BigDataEcosystem@hp.com or visit us at www.hp.com/go/ProLiant/BigDataServer.

And now off to relax and watch some TV – via streaming video of course!

Until next time,

JOSEPH
@jbgeorge

Advertisements
  1. No comments yet.
  1. No trackbacks yet.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: