Blogs

Our next meetup talks of big data technologies in glassbeam scalar

PRAMOD SRIDHARAMURTHY
Jul 16, 2014

At Glassbeam, we are big fans of Functional Programming and Scala. SCALAR our hyper scale big data platform was built ground up using Scala. Additionally, we utilize the AKKA actor framework for asynchronous and distributed processing. We truly believe that SCALAR as an evolutionary platform for organizing and analyzing complex machine data in the era of the Internet of things (IOT). In case you missed it, here is the SCALAR launch ANNOUNCEMENT.

Scalable machine learning with apache spark and mlbase

SAUMITRA SRIVASTAV
Jul 11, 2014

Big data Applications are no longer a nice to have, but must have for many organizations.Many enterprises are already using massive data being collected in their organizations to understand and serve their customers better. Ones which have not yet learned how to use it will over a period of time, be left behind. Companies are now looking for platforms which not only provide them analytical capabilities over their data, but also help them become PROACTIVE AND PREDICTIVE. And hence machine learning capability is becoming an important component for any analytical platform.

Machine logs analytics – next frontier for data center infrastructure management (dcim)

DINESH KATIYAR
Jun 25, 2014

There are few detractors when it comes to the value of DCIM for an Infrastrucutre-as-a-Service (IaaS) provider. But as the data centers become more dynamic and heterogeneous, these tools will need to adept. As CDW, a leading DCIM vendor PREDICTS that cross vendor visibility and heterogeneous platform will challenge the effectiveness of these tools.

Learn-teach-repeat: apache solr workshop @ glassbeam

SAUMITRA SRIVASTAV
Jun 24, 2014

At Glassbeam, we use many different open source technologies. Our stack consists of Apache Cassandra, Apache Solr, Apache Spark, Scala, Play, H2 to name few. We try to give back and share with the community. We call it learn-teach-repeat initiative.

Productive, proactive, predictive – three facets of glassbeam’s core value proposition

PUNEET PANDIT
Jun 17, 2014

Growing a sales organization is a double edge sword ! It brings more prospects in the pipeline, but it also creates demand on marketing and executive management to crystallize the core value proposition very quickly. I am not complaining :-) I think it is great that I have been pulled into some critical pre-sales discussions recently where I had to think on my feet, white board and create new slides to help sales close new deals. So, this blog is is a multi-series blog that highlights our core message and value propositison to the market we sell into.

Glassbeam for root cause analysis

VIVEK SUNDARAM
Jun 11, 2014

As a Solutions Architect at Glassbeam, I come across many pre-sales situations during a demo, when I’m asked to showcase our functionality to perform a root cause analysis. So, here is a good example that I’ve pretty much standardized for such situations. It sure is a compelling value proposition of the Glassbeam Explorer application.

Another great industry recognition for glassbeam

Jun 02, 2014

It is an honor to be recognized (again) by CRN in their TOP 50 LIST OF COMPANIES that are changing the world of business analytics with big data. To quote CRN, "this list recognizes companies that have demonstrated an ability to innovate in bringing to market products and services that help business work with big data".

Why phone-home makes strategic sense?

PUNEET PANDIT
May 31, 2014

I have come across many sales situations where customers are unsure or wary of asking their customers to send regular feeds of the machine-generated data (logs). This feature is known as phone-home or call-home. The fact is that all high technology devices, systems and networks are constantly generating all kinds of log data (syslogs, configs, stats, static etc). This is now called the Internet of Things (IoT) phenomenon.

Data security on the glassbeam cloud

ASHOK AGARWAL
May 28, 2014

You can’t stop the NSA – no matter what; but rest assured, the “Target” type of security breach resulting in the theft of credit card information has nothing to do with the cloud.

Predicting system failures to improve customer satisfaction

MOHAMMED GULLER
May 14, 2014

Companies like Amazon, Google, and Netflix have done an amazing job of providing a great customer experience. For example, when you use Google’s search engine, it quickly figures out if you are just researching a topic or planning to a buy a product/service. Accordingly, it tailors content to show you relevant ads or chooses not to display any. Similarly, when you buy a product on Amazon, it displays other products that may be of interest to you. Netflix offers suggestions of movies you may enjoy based on your viewing behavior. How do they do this?

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