LOG FILE ANALYSIS

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.

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.

Return on investment (roi) from log analytics solutions

PUNEET PANDIT
Apr 29, 2014

The question of ROI comes up quite regularly in our sales discussions with prospects. It is natural for our buyers to delve on that topic since many evaluate GLASSBEAM SPEND WITH INTERNAL EFFORTS. We are no doubt on an evangelistic mission to convert naysayers inside product companies who think they can "build" such a solution on their own.

Typically there are three parts of GLASSBEAM VALUE that constitute a very compelling ROI:

Top predictions for 2014

PUNEET PANDIT
Jan 08, 2014

Happy New Year – and what a year it’s been.

With the technology advancements of phones, tablets, glasses, clothing and machines over the last year, there are volumes of unstructured and multi-structured data collected from machines and connected devices, and it’s growing at a dizzying pace. The Internet of Things is quickly turning into the Internet of Everything – in today’s always-on, always-connected world, and machine data is everywhere.

Glassbeam begins where splunk ends – going beyond operational intelligence with iot logs

SRIKANTH DESIKAN
Dec 10, 2013

Splunk announced today that it acquired Cloudmeter to enhance its capability to analyze machine data. While tools like Splunk have tremendous value for internal data centers, companies are starting to embark on more complex Big Data projects with multi-structured machine logs. The rapidly exploding market of physically connected devices and the machine data generated by the “Internet of Things” is driving the need to leverage this data beyond simple troubleshooting needs.

Designing for the internet of things using cassandra

ASHOK AGARWAL
Sep 25, 2013

I like the word “ontology”. It has a nice ring to it. Wikipedia defines Ontology as “knowledge as a set of concepts within a domain, and the relationships among those concepts”. When applied to machine data analytics (“domain”), we see that unless we isolate concepts and understand the relationships, we cannot obtain “knowledge”.

Glassbeam for medical – analyzing mri machine logs

Vivek Sundaram
Sep 18, 2013

The advent of complex medical devices has triggered a renaissance of sorts and imposed a new set of demands on the healthcare industry. Intelligent medical equipment now connect to a central location, enabling key stakeholders to glean insights from historical data collected over time.

The intersection of machine data analytics and the internet of things

SRIKANTH DESIKAN
Sep 08, 2013

The ability to gather and harness data from machines and devices connected to the net is increasingly becoming a source of competitive advantage for those who have been thinking ahead. GE is widely cited, with their INDUSTRIAL INTERNET initiative. Cisco has been talking about INTERNET OF EVERYTHING for a while. At Glassbeam, we have been focusing on the infrastructure required to process and analyze machine data for over 3 years now.

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.

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.

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