Logentries Announces New Analytics Language
May 28, 2015
Share this

Logentries announced a new Analytics Language - Logentries Query Language (LEQL) - that offers an easy-to-use alternative to traditional search languages that require deep technical skill and often include more than 100 search terms.

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.

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.

Share this

The Latest

March 27, 2024

Nearly all (99%) globa IT decision makers, regardless of region or industry, recognize generative AI's (GenAI) transformative potential to influence change within their organizations, according to The Elastic Generative AI Report ...

March 27, 2024

Agent-based approaches to real user monitoring (RUM) simply do not work. If you are pitched to install an "agent" in your mobile or web environments, you should run for the hills ...

March 26, 2024

The world is now all about end-users. This paradigm of focusing on the end-user was simply not true a few years ago, as backend metrics generally revolved around uptime, SLAs, latency, and the like. DevOps teams always pitched and presented the metrics they thought were the most correlated to the end-user experience. But let's be blunt: Unless there was an egregious fire, the correlated metrics were super loose or entirely false ...

March 25, 2024

This year, New Relic published the State of Observability for Financial Services and Insurance Report to share insights derived from the 2023 Observability Forecast on the adoption and business value of observability across the financial services industry (FSI) and insurance sectors. Here are seven key takeaways from the report ...

March 22, 2024

In MEAN TIME TO INSIGHT Episode 4 - Part 2, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at Enterprise Management Associates (EMA) discusses artificial intelligence and AIOps ...

March 21, 2024

In the course of EMA research over the last twelve years, the message for IT organizations looking to pursue a forward path in AIOps adoption is overall a strongly positive one. The benefits achieved are growing in diversity and value ...

March 20, 2024

Today, as enterprises transcend into a new era of work, surpassing the revolution, they must shift their focus and strategies to thrive in this environment. Here are five key areas that organizations should prioritize to strengthen their foundation and steer themselves through the ever-changing digital world ...

March 19, 2024

If there's one thing we should tame in today's data-driven marketing landscape, this would be data debt, a silent menace threatening to undermine all the trust you've put in the data-driven decisions that guide your strategies. This blog aims to explore the true costs of data debt in marketing operations, offering four actionable strategies to mitigate them through enhanced marketing observability ...

March 18, 2024

Gartner has highlighted the top trends that will impact technology providers in 2024: Generative AI (GenAI) is dominating the technical and product agenda of nearly every tech provider ...

March 15, 2024

In MEAN TIME TO INSIGHT Episode 4 - Part 1, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at Enterprise Management Associates (EMA) discusses artificial intelligence and network management ...