jump to navigation

Nutanix launches and a new era for data center computing is born — No SAN or NAS required! August 16, 2011

Posted by ravimhatre in 2011, Cloud Computing, data, database, datacenter, enterprise infrastructure, Infrastructure, platforms, Portfolio Company blogs, startup, startups, Storage, Uncategorized.
Tags: , , , , , ,

The Nutanix team (ex-Googlers, VMWare, and Asterdata alums) have been quietly working to create the world’s first high-performance appliance that enables IT to deploy a complete data center environment (compute, storage, network) from a single 2U appliance.

The platform also scales to much larger configurations with zero downtime or admin changes and users can run a broard array of mixed workloads from mail/print/file servers to databases to back-office applications without having to make upfront decisions about where or how to allocate their scare hardware resources.

For the first time an IT administrator in a small or mid-sized company or a branch office can plug in his or her virtual data center and be up/running in a matter of minutes.

Some of the most disruptive elements of Nutanix’s technology which enable the customer to avoid expensive SAN and NAS investments typically required for true data center computing are aptly described on company’s bloghttp://www.nutanix.com/blog/.

Take a look. We believe this represents the beginning of the next generation in data center computing.

The Anatomy of a Social Product August 2, 2011

Posted by Bipul Sinha in social media, social networks, startups, Uncategorized.

The social Internet is fundamentally a game changer. Unlike the web-link driven Internet, the social Internet connects people directly to one another and the resulting social graph essentially provides for a brand new, highly scalable distribution mechanism. The early adopters of the Facebook platform such as Zynga leveraged the platform’s social distribution to reach scale relatively quickly. However as the platform is restricting notifications to the users, a number of newer applications are finding it hard to get user traction and sustain engagement. In the competitive world of Facebook and other social platform applications, applications have to be fundamentally social to survive and get user attention. My acid test for an application leveraging social graph – “is the application useless in the absence of the social graph”. A “No” answer indicates a mere social layering on top which is not sufficient.

The Hierarchy of Social Interactions

A social application’s user interaction model should be around discovery and handholding users from “lookers” to “doers”. The discovery is essentially bringing together emotional, impulsive, curiosity, and other inherent psychological needs, and delighting users every time they engage with the application. The discovery aspect of a social application is what brings users back into the application and sustains engagement levels.

The hierarchy of interactions from lookers to doers is core to the discovery mechanism. A well designed social application must provide value to users who are just lookers and make no input. Such users make the majority of an application audience. The next up in the hierarchy is “one click” interactions. With this mechanism a user can vote up or down on any object created by other users. This kind of low-touch interactions help users get over the hurdle by reducing the cognitive dissonance arising out of “what to write or comment”. The next step up is “responding” to a question or comment from other users. This, again, is low hurdle activity since users have the needed context to respond with. Users who ask or comment in the first place are still next level up in the interaction hierarchy because they are dealing with low to no context resulting in higher level of cognitive dissonance. At the top of the hierarchy are users who upload or generate content. The effort needed to generate/upload content and the social approval anxiety make this step the hardest for the users. A successful social application essentially handholds users up the social interaction hierarchy and creates stickiness and high level of user engagement. As a general rule of thumb, the distribution of users in different position on the hierarchy are 80% lookers, 10% clickers, 5% responders, 3% askers and 2% creators.

A social application by its very definition involves social approval, recognition, and emotional fulfillment, and application developers should focus on reducing social approval anxiety and cognitive dissonance by creating an easier path for users to convert from lookers into doers.