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).
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
A. Aggregate data from all log files – All log files are not the same – Most people think of sys logs when they think of log files – no thats not all. Logs from product and software companies are bundles containing many files each of different types and formats. Some are time series data of events but others can be stats, session information, usage metrics, configuration etc.
Most people think of sysadmins and IT when they think log files. We at Glassbeam think sales operations and services! Why? Because machine data provides the truth and nothing but the truth about your customers and how they use your products. This information is extremely valuable to enterprises.
Game companies like Disney and Zynga perfected the art and science of analytics by collecting log data from games, as they are played, and using the data to better understand their users. They gained a huge competitive edge by using the log data to tailor their products. They gained valuable knowledge on how the product was being used by their customers, pinpoint performance issues preventing the users from loading a game etc.
With the buzz around Big-Data it is important to keep in mind what can be done with the data. For those of us who have read or watched Money Ball it is apparent that you can use insights derived from data and combine that with your intuition to make better decisions.
Glassbeam gives you the tools to make such decisions in your business, based on unfiltered machine data.