Logentries Announces New Aggregated Live Tail
August 07, 2014
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Logentries announced a new Aggregated Live Tail view for real-time monitoring of important security and performance events, and proactive troubleshooting across production systems. As a cloud service, Logentries Aggregated Live Tail enables users running on virtually any platform, on-premise, or in the cloud, to watch and filter multiple log streams simultaneously, and instantly validate important events occurring in production.

Today, IT and development teams must fully support distributed networks, systems, and teams across cloud-enabled environments. This often demands real-time, log-level visibility into servers, applications, and systems of all types, which historically have not been easy to access. Logentries has built a log management and analytics service for cloud-enabled environments where real-time access and deep insight into system events and activity is required. The new Aggregated Live Tail view makes this even easier by bringing selected log streams together into one single view, and providing real-time monitoring and alerting.

With Logentries Aggregated Live Tail, users can:

- Dynamically aggregate logs from across different sources into a single view.

- Watch aggregate log data streams in real-time.

- Search and filter live data to highlight important events in production.

Logentries’ Aggregated Live Tail collects logs in virtually any format, from virtually any system and makes them available in live tail mode within seconds. All logs pass through the Logentries pre-processing engine that automatically tags and creates alerts on important log events and trends. The new aggregated view also enables automated, real-time filtering to only show events that contain particular parameters, which help to quickly identify the most important events amid billion of log files.

Trevor Parsons, Co-founder and Chief Scientist, Logentries, said: “Unlike legacy approaches, our customers can now easily monitor in live mode 24/7 to quickly pinpoint where server errors are occurring in seconds.”

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