Remote maintenance of escalators and elevators using log analytics

Feb 27, 2015

Every machine produces logs. Even those escalators and elevators at your favorite mall or office space. Here’s what will happen next. Those escalators will talk to a forecaster sitting at a remote location,and transmit data that will be tremendously valuable for their own maintenance.

But what messages are they transmitting? What’s the objective?

Typical messages that are getting collected include information on wear and tear of mechanical parts, peak load times, usages of interactive controls, activation of alarms and safety thresholds, and so on.

What the spark!

Feb 13, 2015

No, we don’t hate Spark! We like it a lot – regular blog readers know that we integrated Apache Spark’s MlLib library into our SCALAR product last Fall. If you missed this news, here’s the PRESS RELEASE and BLOG POST.

Wind energy equipment manufacturer’s guide to iot service excellence

Jan 20, 2015

In a wind farm running hundreds of wind turbines, the hydraulic systems play an important part in running the turbine smoothly. Hydraulic systems optimize the turbine by controlling the blade pitch to maximize the amount of power generated under unpredictable wind conditions. Performance takes a hit, when there’s a sudden drop in pressure. In the worst case scenario, a complete loss in pressure can destroy components, resulting in significant financial losses.

Coverage by techrepublic and the 451 group

Dec 30, 2014

A couple of cool media mentions is probably the ideal way to round out what has been a tremendous year at Glassbeam. It sets the stage for what we (along with most media pundits) believe will be a banner year for the IOT industry in 2015.

Glassbeam is a finalist at up-start 2014 cloud awards

Dec 02, 2014

The Up-Start Cloud Awards season for 2014 is in full swing and we’re glad to announce that Glassbeam is a finalist in the Category of BEST BUSINESS INTELLIGENCE SOLUTIONS. We want to Thank everyone that supported us during the online voting over the past few weeks.

it’s a new era at glassbeam!

Nov 18, 2014

At Glassbeam we are thrilled to ANNOUNCE our foray into the exciting space of machine learning and real time analytics. By integrating our market-leading Glassbeam SCALAR platform with the powerful capabilities of Apache Spark framework, we are adding significant differentiators to our IOT Analytics platform. This announcement received tons of media attention – here’s a nice BLOG POST by the Taneja Group.

Refining the art of query performance

Oct 26, 2014

Ever wonder how we power those “which controller went down today” queries that sprawl 1000s of databases, amounting to 100s of terabytes of log data every day? How do we deal with terabytes of data in a robust and efficient manner? We call it harmonic in memory query management.

We’ve been working with a distributed Cassandra cluster for almost a year. During that time, we have learned a bit about achieving scalability, and along the way we have collected some insight on achieving optimal query performance.

Scalable machine learning with apache spark and mlbase

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.