Archive for category Hyperscale

The Gap between Web-scale and Enterprise IT

The big Internet companies like Google, Amazon, Yahoo and Facebook are having a profound impact on the IT ecosystem. Wikibon has been tracking the hyperscale infrastructure developments for the past few years (see much of this at Wikibon.org/SLI – our Software-led Infrastructure page) and how both the operational models and technologies used are impacting service providers and enterprise environments. The hyperscale (or web-scale) companies still only make up about 20% of IT revenue, but more signifiantly, most of the growth (see server revenue as a barometer of this activity). There are significant differences between the applications in hyperscale (custom written to optimize for massive scale) and enterprise (typically off-the shelf), so the theme is not that the enterprise of tomorrow will look like the web companies of today.

Share

No Comments

Hyperscale Invades the Enterprise Data Center [Infographic]

Hyperscale Invades the Enterprise Data Center [Infographic]It isn’t the zombie apocalypse, but for too long, IT administrators have been shackled to infrastructure that was as friendly and stable as the stumbling undead. The coordination between application, infrastructure and physical data center was poor, leading to over 70% of resources being spent on adjusting configurations and trying to keep the lights on. Hyperscale cloud providers were built for scalability from day 1, so they had to be able to manage orders of magnitude more gear with a smaller IT staff. While cloud providers can customize new applications, enterprise users are burdened with a portfolio of legacy applications. The transformation to a scalable, agile and fast methodology isn’t simple, there are lessons and technologies that the enterprise can learn from the largest IT shops.

Share

, ,

No Comments

Visualizing the Universe of Big Data

Our friends at Forbes.com have put together a fantastic new infographic leveraging data from Wikibon’s Big Data Vendor Revenue and Market Forecast, 2012 – 2017 report. It provides a compelling view of the Big Data universe and illustrates the real revenue vendors are deriving from Big Data. They range from the mega-planets (if you’ll go with me on this analogy) IBM, HP and EMC to the smaller but powerful emerging planets like Hortonworks, 10gen and DataStax.

Ok, not the greatest analogy but still a great infographic:

Infographic by Forbes.com; Data by Wikibon.

Infographic by Forbes.com; Data by Wikibon.

Share

, , ,

2 Comments

Flash Storage will Radically Change Systems and Application Design

 

I’d like to explore the topic of how system and storage architectures are changing and the impact this will have on application delivery and organizational productivity.

Allow me to put forth the following premise:

Today’s enterprise IT infrastructure limits application value.

What does that mean? To answer this, let’s first explore the notion of value. The value IT brings to an organization flows directly from the application to the business and is measured in terms of the productivity of the organization. Infrastructure in-and-of itself delivers no direct value; however the applications, which run on infrastructure directly affect business value. Value comes in many forms but at the highest level it’s about increasing revenue and/or cutting costs; and ultimately delivering bottom line profits.

Share

4 Comments

Flash Wars Heat Up as EMC and Fusion-io Battle for Top Gun

Quick Take

Flash competitors are aggressively jockeying for position as the market heats up. It’s a tale of two styles. On the one hand, EMC’s entrance into the all-flash array market targets traditional IT segments. It will both pressure competitive offerings and its own high-end block storage business. EMC is positioning to cannibalize its own base before others cut too deep into the EMC muscle; but it must walk a fine line. At the other end of the spectrum, Fusion-io is uniquely positioned to serve the hyperscale market and currently stands alone with a software-led strategy that leverages atomic writes and delivers new value to database workloads.

Share

, ,

5 Comments