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.
The Latest
In MEAN TIME TO INSIGHT Episode 5, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the network source of truth ...
A vast majority (89%) of organizations have rapidly expanded their technology in the past few years and three quarters (76%) say it's brought with it increased "chaos" that they have to manage, according to Situation Report 2024: Managing Technology Chaos from Software AG ...
In 2024 the number one challenge facing IT teams is a lack of skilled workers, and many are turning to automation as an answer, according to IT Trends: 2024 Industry Report ...
Organizations are continuing to embrace multicloud environments and cloud-native architectures to enable rapid transformation and deliver secure innovation. However, despite the speed, scale, and agility enabled by these modern cloud ecosystems, organizations are struggling to manage the explosion of data they create, according to The state of observability 2024: Overcoming complexity through AI-driven analytics and automation strategies, a report from Dynatrace ...
Organizations recognize the value of observability, but only 10% of them are actually practicing full observability of their applications and infrastructure. This is among the key findings from the recently completed Logz.io 2024 Observability Pulse Survey and Report ...
Businesses must adopt a comprehensive Internet Performance Monitoring (IPM) strategy, says Enterprise Management Associates (EMA), a leading IT analyst research firm. This strategy is crucial to bridge the significant observability gap within today's complex IT infrastructures. The recommendation is particularly timely, given that 99% of enterprises are expanding their use of the Internet as a primary connectivity conduit while facing challenges due to the inefficiency of multiple, disjointed monitoring tools, according to Modern Enterprises Must Boost Observability with Internet Performance Monitoring, a new report from EMA and Catchpoint ...
Choosing the right approach is critical with cloud monitoring in hybrid environments. Otherwise, you may drive up costs with features you don’t need and risk diminishing the visibility of your on-premises IT ...
Consumers ranked the marketing strategies and missteps that most significantly impact brand trust, which 73% say is their biggest motivator to share first-party data, according to The Rules of the Marketing Game, a 2023 report from Pantheon ...
Digital experience monitoring is the practice of monitoring and analyzing the complete digital user journey of your applications, websites, APIs, and other digital services. It involves tracking the performance of your web application from the perspective of the end user, providing detailed insights on user experience, app performance, and customer satisfaction ...
