Logentries’ Introduces New Log Management and Analytics Language

Logentries, a provider of log management and analytics built for the cloud, has released a new Analytics Language that offers an alternative to traditional search languages that require deep technical skill and often include more than 100 search terms. 

The new 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 to use logs to visualize high-level trends, perform sophisticated correlation across log data streams, and drill down as needed to the most fine-grained format of their data.

The LEQL helps users to manipulate their data using sophisticated search functions such as Count, Sum, Average, Min, Max, Group By, Sort and more. The new analytics language delivers the ability to see both the high level trend reports and a fine-grained view of system and application performance using one single tool. This consolidated, view can improve efficiency and time to resolution for IT and DevOps teams and makes log analysis accessible to all members of the IT and DevOps teams.

With the addition of the new real-time Analytics language, Logentries now enables the three key pillars of DataOps, an approach to better managing and understanding all available data across an organization to inform IT and Dev Ops decision making. Log data enables DataOps by collecting, centralizing and analyzing all log data across the entire software stack from every type of component using:

- Real-Time Search & Investigation: Aggregated live tail, easy keyword search and Regex extraction give users a way to troubleshoot issues and anomalies in seconds, while better understanding what is happening, as it happens, across operations systems.

- Real-Time Alerting: Instant notifications set by custom thresholds on the most critical services and requirements ensure users can take immediate action to ensure system reliability.

- Intelligent Analytics Language: Sophisticated query functions such as Max, Min, Sort by, Top and Rare, provide new data visualization capabilities for issue correlation and root cause analysis.

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