Blogs

Part 3 – Advanced Troubleshooting and Automation

Pramod Sridharamurthy
Aug 05, 2013

In the previous blog, we looked at possible systems/processes that can help L1/L2 support teams be more optimized. In this blog, we can continue that thought process and look at how L3/L4 troubleshooting processes can be optimized.

For L3/L4 type of issues, what if there was

Glassbeam – big data search and explore

Glassbeam
Aug 01, 2013

Next week many of our customers will see a power new upgrade to our existing Glassbeam Search product. We now fully leverage the power of Apache Solr with the advanced technology behind Glassbeam’s SPL™ and text processing capabilities to enable our users to drill deep into their product and application logs. Any section and any attribute captured in the log can be graphed and charted with an instant view into that section of the raw log. More importantly our users now can instantly see what changed since last time for any of their devices.

Social responsibility begins at home…. and office too!

GLASSBEAM
May 24, 2013

Vishwanath works as a front desk/security supervisor at our Glassbeam India office. For those of us who work in India would know that the salary he earns is barely enough to meet basic living needs. He has a daughter who finished her 10th standard and got her results a couple of days back. She cleared the exams with flying colours, scoring 88.5% overall with – 98 in math, 98 in Social science, 94 in English, 100 in Kannada (out of 125), 86 in Hindi and 77 in General science. While it is an amazing achievement on its own, the following factors make it even better.

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).

Glassbeam recognized by crn and tiecon

GLASSBEAM
May 24, 2013

Last week was an eventful week for Glassbeam. We were recognized by the industry with two distinct awards. First was the nomination to CRN BIG DATA 100 LIST. Second was the selection at TieCon 2013 to be one of the winners of the BIG DATA LIGHTNING ROUND. Srikanth Desikan, our fearless VP Products & Marketing, presented the Glassbeam story on machine data analytics in a truly lightning style in less than 3 minutes!

To reduce or not to reduce

ASHOK AGARWAL
May 07, 2013

“Big Data” has become what dot com used to be in the late nineties. Anyone having a cute little elephant as their mascot is getting “big bucks”. Yes, Hadoop is the buzz word around town.

Maximizing the value of machine data

GLASSBEAM
Apr 26, 2013

There are many ways to analyze machine logs and machine data. Most companies start out with simple manual/semi-automated ways to understand logs. The least sophisticated way is for individual users who are responsible for support or system administration to use standard windows or Unix tools to search for strings, find interesting sections withing logs etc. Tools and applications that enable sophisticated search on logs have empowered sysadmins and dramatically increased their productivity.

Know your products and your customers

Mar 19, 2013

Sometimes its the small data hidden inside the Big Data that ends up making a huge impact on the business. Often we find our customers using Glassbeam machine data analytics to find all sorts of information about their customers that they could never have known if not for their machine data logs.

Rise of the machines

SRIKANTH DESIKAN
Apr 16, 2013

While most of the attention in analytics and Big Data has been around human generated content on social media or the web, machine data is fast becoming the growth engine for true Big Data.

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