Logentries, the leading provider of log management and analytics built for the cloud, today announced a new Analytics Language that offers an easy-to-use 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 now 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.
“Our Analytics team is thrilled to have a single tool for collecting, centralizing and analyzing log data from across our entire software stack,” said Mike Roberts, Director of Data Analytics, at Pluralsight. “Using the new Logentries Query Language, we can see across all of our critical apps and expose the value of our logs beyond just basic use cases – all in real-time.”
Today’s distributed, cloud-based environments produce billions of machine-generated data, making separate tools for monitoring, alerting, troubleshooting and analyzing data across systems, applications and end users completely unmanageable. Organizations need a single tool to monitor, alert and analyze multiple data sources using one shared data format.
The Logentries Query Language (LEQL) helps users to slice-and-dice 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 the most fine-grained view of system and application performance using one single tool. This consolidated, easy-to-use view has become critical to improving efficiency and time to resolution for IT and Dev Ops teams and makes log analysis finally accessible to all members of the IT and Dev Ops teams, not just the data scientists.
“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.”
With the addition of the new real-time Analytics language, Logentries now enables the three key pillars of DataOps, a critical approach to better managing and understanding all available data across an organization to inform smarter IT and Dev Ops decision making. Log data uniquely 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. To learn more about Logentries, or to get started with a free 30-day Logentries trial, visit https://logentries.com.