BIG DATA ANALYTICS

An auto-tuning parser for data from the internet of things (iot)

ASHOK AGARWAL
Nov 15, 2013

We have established beyond a reasonable doubt that knowledge comes from structure. Therefore, parsing IoT logs to create structure is a must do for making sense of this data. Remember the definition of big data – volume, variety and velocity. If you combine that with the business requirement of near real-time analytics, you are looking at a need for high data ingestion speeds. However, the issue is not of ingestion speeds but the total cost of ownership (TCO) for providing that.

Scaling machine data analytics for the internet of things – introducing glassbeam scalar

PUNEET PANDIT
Oct 21, 2013

from: Puneet Pandit, CEO, Glassbeam.

It’s a new era…

Welcome to the Internet of Things – where every connected physical device will generate volumes of machine data. And the key to extracting the intelligence and meaning locked inside this data will lie in a highly scalable platform and a set of applications. At Glassbeam, today marks the launch of that that truly next generation platform purpose-built for machine data analytics – Glassbeam SCALAR.

Big data: search vs. analysis

SRIKANTH DESIKAN
Oct 11, 2013

Early on in my career at SGI we built some interesting data management tools and data warehouses for processing world wide business data and BILL INMON was my hero(I am sure he was the hero for a lot of data geeks back then!).

This recent article on BIG DATA: SEARCH VS. ANALYSIS by him, is a great validation of the need for structure for analysis.

Log analysis on the cloud

SRIKANTH DESIKAN
Oct 03, 2013

Splunk is now going where their customers want them to go – to the CLOUD with an enterprise offering! Glassbeam has been offering an enterprise log analysis solution on the cloud for fortune 500 companies for a few years now, to analyze the data from their devices. Splunk’s log analysis is focused on Enterprise IT for the most part while Glassbeam has focused on Enterprise business users in support, engineering and service/sales.

Search vs. Analysis on log data

Pramod Sridharamurthy
May 23, 2013

Search as the starting point is a great way to start any analytics with Machine log data. As a user, initially you don’t know what you are searching for and hence searching for “needle in a hay stack” is easy, because all you need to do is type needle! Yes, you will get a lot of results back which then needs to be filtered/ranked and presented in a meaningful way, but open source search engines, that allow full text search of any document like SOLR/Lucene, provide a good starting point for search implementation.

To search or not to search on machine data

Pramod Sridharamurthy
May 24, 2013

Search as the starting point is a great way to start any analytics with Machine data. As a user, initially you don’t know what you are searching for and hence searching for “needle in a hay stack” is easy, because all you need to do is type needle! Yes, you will get a lot of results back which then needs to be filtered/ranked and presented in a meaningful way, but open source search engines, that allow full text search of any document like SOLR/Lucene, provide a good starting point for search implementation.

Glassbeam customer summit

Puneet Pandit
Jul 30, 2013

First Glassbeam Customer Summit – A Grand Success

Machine data analytics- a complete building block for enterprises

Srikanth Desikan
Jul 30, 2013

Working with our customers on analyzing their machine log data, we found various common usage patterns of the log data. First, the users in a support organization are troubleshooting and hence are most interested in searching, viewing logs and looking at specific sections or exploring various logs in a log bundle. This is a basic use case that requires correlating various logs in a bundle, whether they have a time stamp or not and allowing users to do full text and attribute based search on the logs( attributes are the output of parsed logs).

Detecting patterns in wireless logs

GLASSBEAM
Mar 26, 2013

Machine data can contain various types of unstructured information ranging from events to configuration and statistical information. Trouble shooting wireless devices involves running several CLI(Command Line Input) commands and analyzing the output for patterns. An access point may be rebooting, a process may be consuming unusual amounts of memory, a controller may have some incorrect settings, ports may be shutdown etc.

Glassbeam @ strata

GLASSBEAM
Mar 02, 2013

We had a great launch at Strata. Many people stopped by and had wonderful things to say about our new product – Glassbeam Search a unified search and log management solution. We got several good pieces of advice and feedback as well and many thanks to all of you.
As we continue building this out we find most companies needing the following

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