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Rackspace Takes Aim at Amazon, Slashing Cloud Storage Costs by 30%

Rackspace Takes Aim at Amazon, Slashing Cloud Storage Costs by 30%

Rackspace has just stepped up the pressure on Amazon Web Services by slashing its cloud storage rates by a whopping 33 percent last Friday, while announcing plans to roll out tiered pricing for its open cloud services. The cuts will see the cost of Rackspace’s Content Delivery Network, which routes traffic around the web to reduce latency and page load times, slashed by 30 percent, down to $0.12 per GB from its previous price of $0.18. This newly reduced rate matches the per-GB pricing of Amazon’s CloudFront CDN for the first 10 TB per month of out-bound data transfer. After that,... more »
AVentures Capital Backs Startup Augmented Pixels for AR Applications

AVentures Capital Backs Startup Augmented Pixels for AR Applications

One of the world’s leading augmented reality technology developers, Augmented Pixels, formerly known as AR23D, has attracted investments from AVentures Capital. The amount of investment was not disclosed, but the deal for the fund will own AVentures 25% of the company. AVentures Capital, a Ukrainian venture capital fund that invests primarily in the information technology sector, might have invested from $300,000 to $3 million in Series A deal. According to the founder and owner of AR23D Vitaly Goncharuk, negotiations were conducted for six months, and the deal was closed for 2 months. The company plans to use the money to further... more »
ServicsAngle News Briefs for February 25, 2013

ServicsAngle News Briefs for February 25, 2013

EMC Introduces Pivotal HD Apache Hadoop Distribution EMC has announced what it says is the world's most powerful Apache Hadoop distribution, Pivotal HD, the integrated EMC Greenplum massively parallel processing (MPP) database technology natively with the Apache Hadoop framework. The EMC Greenplum-developed HAWQ technology brings a decade of large-scale management research and development to the platform to provide more than 100X performance improvements compared to existing SQL-like services on top of Hadoop, EMC says. More   RSA Announces Three SOC Systems to Manage Security Incidents RSA, the Security Division of EMC, has announced three software systems for Security Operations Centers to manage security incidents... more »
HP’s Predictive Security Announcement at RSA - The Big Data Formula that Introduces Sentiment Analysis Using Hadoop, Autonomy, and ArcSight

HP’s Predictive Security Announcement at RSA - The Big Data Formula that Introduces Sentiment Analysis Using Hadoop, Autonomy, and ArcSight

Once upon a time the limits of security were based on a reactive approach, relying heavily on signature-based methodologies, the industry would react to the latest and greatest threats out there to secure and protect the business.  It suited the times, but as the security realm became more business standardized, the approach of proactive security entered the picture, bringing forth centralization, reporting, forensics, vulnerability management and other measures designed to prevent attacks.  Today's threats are rapid, persistent, and adaptive.  HP has announced a platform at this week’s RSA conference that changing the game altogether with Predictive Security. What this means... more »
Petition Reaches White House to Make Phone Unlocking Legal Again

Petition Reaches White House to Make Phone Unlocking Legal Again

The petition of making phone unlocking legal has reached the White House with all 10,000 signatures mark. The deadline of the same was 23 Feb 2013, but the petition reached two days before the cut-off date, which means that the White House is now bound to issue an official response. The petition was started by a San Francisco resident Sina Khanifar, who once faced a five-year prison sentence and a $500,000 fine for “circumventing protection measures of Motorola phones” while he was an undergraduate college student. “I was 20 years old and terrified; my immediate reaction was to shut down the business,”... more »
DevOps Is Not an All-or-Nothing Proposition

DevOps Is Not an All-or-Nothing Proposition

DevOps has kicked off a lot of discussion in IT management. Some love it, some hate it. But even that reaction is far too binary. The fact is that DevOps is not an all-or-nothing proposition. There is a measured approach you can take, emphasizing small experiments validated in short, low-risk bursts. Here, we’ll take a look at a few areas where DevOps can start making a difference for you relatively quickly. First a disclaimer. We could get into a religious debate over whether moving toward DevOps can be called DevOps. Let’s put that to one side for this discussion. The idea... more »
SocialANGLE News Round-up: News From The Mobile World Congress and More!

SocialANGLE News Round-up: News From The Mobile World Congress and More!

  As many viewers may be aware, every year the big names in the smartphone and tablet industries make their annual pilgrimage to Spain, home of the Sagrada Familia, world-class soccer, and most importantly, the Mobile World Congress. There's a lot that's already happened this week, and it's got quite a few of us (especially those of us who can't wait for our Verizon contract to end in June) quite excited about the phones that will hit the market this year.  So without further ado, let's jump into the fray! Hewlett-Packard is first up in today's news, as they're set to release a tablet to... more »
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Hortonworks Retrofits Hadoop for Excel Lovers with Windows Distro: Azure Next

Hortonworks just released a Windows version of HDP, its open-source Hadoop distribution. The beta is downloadable from the company’s site. The Hortonworks Data Platform for Windows is the product of a strategic alliance between the big data startup and Microsoft that dates back October 2011. “Today’s news builds on our long-term collaboration with Microsoft and is the next critical step in our strategy of broadening the reach of 100-percent open source Apache Hadoop across the enterprise by enabling millions of Windows users around the globe to benefit from this next-generation data platform,” said Shaun Connolly, Hortonworks’ vice president of corporate strategy. “Hortonworks... more »
The Mobile Office: IBM MobileFirst and the Mobile Management Quandary

The Mobile Office: IBM MobileFirst and the Mobile Management Quandary

The mobile office is clearly here to stay. Even in its present primitive, first generation form it is already improving office morale and individual productivity at very small cost to the organization. To the C-Suite, where it all started when senior execs brought their new iPhones, and later iPads, to work and started using them at meetings, BYOD looks like a great something-for-nothing deal. Employees buy their own devices and use them to get more work done. For CIOs, BYOD is degenerating into complete chaos. What started as a few iPhones is quickly growing into a very large mixed population of... more »
GSMA: Mobile Big Data Revenues Set To Surpass Voice by 2018

GSMA: Mobile Big Data Revenues Set To Surpass Voice by 2018

Big Data’s pumped in some massive revenues for those fast enough to jump on the bandwagon, generating some $11.4 billion in 2012 alone, according to the latest Wikibon report. But this is only the beginning, as the burgeoning industry has just began flexing its muscles – by 2017, Big Data is expected to be worth as much as $50 billion a year. One of the fastest growing segments in Big Data has to do with mobile data, with industry association GSMA predicting that revenues from this service will likely exceed those generated by voice call services by 2018, driven by consumer’s... more »

Premium Research

- George Gilbert

Premise 16 years ago proprietary flavors of Unix domina […]

- Stuart Miniman

Hyperconvergence is the current state – next generation of converged – better, faster, more distributed than original converged, but still just the beginning. Wikibon’s Server SAN research agenda is to show where we are today and give guidance for the future of this space.

- David Floyer

Wikibon recommends that CIOs put in place a four-point plan for implementing an all-flash datacenter strategy: 1/ Migrate to an All-flash Datacenter by 2016 2/ Proof of concept for Developer Data Sharing - Expect 2 x Productivity & 3 x Code Quality 3/ Reorganize Data Center Operations around Principle of Application Data Sharing 4/ Use IT Budget Savings to Fund Systems of Intelligence This research provides a technology understanding, the business case, and the strategic first steps on the road to an all-flash datacenter.

- David Floyer

IT will sound like yesterday’s news if it continues to advocate tiering, advocate putting the most important data on high performance storage, and declaring that less expensive lower performing storage is key and necessary. Today’s flash reality is that a single compressed/de-duplicated physical version of data must be shared between as many different applications as possible, because the incremental cost of creating and sharing another copy is close to zero.

- George Gilbert

Systems of Intelligence will power the next generation of enterprise applications built on big data. Line of business executives charged with digital transformation must understand the dynamics of Systems of Intelligence well-enough to be effective sponsors of new systems. IT executives must be effective partners and understand how to build Systems of Intelligence on top of Systems of Record. They will also need to understand how to build a radically new infrastructure to support these systems.

- Stuart Miniman

OpenStack is now positioned as an Integration Engine - not the entire stack, but like Linux, could grow into a critical component of IT over the next decade. This article examines the real state of OpenStack after the Kilo release and 2015 OpenStack Summit in Vancouver.

- David Floyer

Wikibon believes CIOs should put the highest priority in developing an all-flash datacenter strategy, and implement it so that all storage acquired and deployed is 100% all-flash by 2016. The key short-term focus for CIOs is to ensure that data sharing is optimized, and that IT organization and objectives support and drive increases in data sharing. The key long-term focus is to release the potential of the best and brightest in the organization to imagine an organization supported by applications without data limits.

- Stuart Miniman

The emerging PaaS platforms (Cloud Foundry, Heroku, OpenShift, Docker) are all evolving to capture the mindshare of developers. While the PaaS battles are still in early days, Cloud Foundry is emerging as a leading open source platform and ecosystem to build and deploy the new Cloud Native applications that are driving these economic changes via software. But this Platform-as-a-Service (PaaS) model requires changes to technology, skills (people) and internal IT processes. This means enterprises need to become familiar with this development and operational model to best understand how they can accelerate using Cloud Native applications to give themselves a business differentiation.

- David Floyer

Platform-as-a-Service (PaaS) is a full application lifecycle cloud service including initial development, testing, deployment, operations and maintenance. Wikibon defines three different PaaS cloud services, 1/ PaaS integrated with IaaS, an integrated platform (e.g., IBM Bluemix, EMC Pivotal Cloud Foundry), 2/ PaaS on top of IaaS, combining development services onto a specific platform (e.g., AWS, Microsoft Azure) and 3/ PaaS on top of SaaS, a development front-end to a SaaS platform with its underlying infrastructure (e.g., ServiceNow, SalesForce). Wikibon will be using this topology to define its PaaS analysis and forecasts.

- Jeff Kelly

When I began covering the Big Data market for Wikibon back in early 2011, it was early days. Big Data technologies such as Hadoop and NoSQL, while still early in their development, were becoming better known by enterprise practitioners. The market for commercial Big Data technologies and services was small but on the verge of rapid growth. But from a business use case perspective, Big Data was long on promise but short on specifics. A lot has changed over the last four years. Without question, Big Data technologies have developed at breakneck speed due in large part to a vibrant open source community of developers. Hadoop in particular has taken great strides. What was once a batch processing, unsecure and somewhat finicky framework is now a much more comprehensive, enterprise-grade, multi-application supporting Big Data platform.