New analytics language makes log data more accessible

Modern computing environments generate vast quantities of log entries. Analyzing this data in the event of a problem can be a mammoth task often involving different tools for different systems.

Boston-based Logentries is announcing a new Analytics Language that offers an easy-to-use alternative to traditional search languages with no need for technical skills.

Logentries Query Language (LEQL) bridges the gap between management and analysis by enabling users to not only collect and search log data in real-time, but now use logs to visualize high-level trends, perform sophisticated correlation across log data streams, and drill down as needed into the data.

"Our new LEQL language has been designed to be powerful, yet easy to use," said Trevor Parsons, Chief Scientist, Logentries. "It enables our users to easily ask questions of their log data and get immediate visibility across their software stack, without requiring them to learn a new, complex query language".

LEQL helps users to slice-and-dice their data using search functions such as Count, Sum, Average, Min, Max, Group By, Sort and more. It delivers the ability to see both high level trend reports and a fine-grained view of system and application performance using one single tool.

Logentries cloud-based service collects and pre-processes log events in real-time for on-demand analysis, alerting and visualization. With custom tagging and filtering, users can draw data from across their infrastructure to better understand application usage and performance, as well as security and performance issues, and user behavior.

You can find out more about Logentries and sign up for a 30-day trial on the company's website.