XpoLog Ltd, the company that invented Augmented Search for IT log analysis, has introduced XpoLog Augmented Search 5.0. The new version brings XpoLog’s troubleshooting capabilities to the Hadoop platform to help DevOps teams rapidly diagnose and solve Hadoop deployment and application problems.
Testing applications on Hadoop, a large-scale, distributed data processing platform, isn’t a trivial task, and it’s made even more difficult without tools that accelerate DevOps activities. XpoLog Augmented Search 5.0 helps in two ways: it collects log data from Hadoop Distributed File System (HDFS), and by layering new intelligent analytics on top of Hadoop. Those insights feed into augmented searches.
XpoLog adds intelligence to log file search context with semantic analysis, and pattern and anomaly detection (to uncover insights and trends into application problems, systems, and user behavior). This helps users analyze problems within the Hadoop infrastructure and applications that run on the platform. It offers visibility into the distributed architecture, automatically triaging issues and errors for severity, and presenting results in a dashboard interface.
“With our latest version, organizations large and small can use augmented search to gain vital insights into Hadoop deployments,” said XpoLog VP Solutions Omry Koschitzky. “Our solution is particularly useful for Hadoop distributions across a large number of servers and data centers.”
Customers using XpoLog’s Augmented Search for DevOps have reported drastically reduced time-to-resolution throughout key verticals. There is also no barrier to entry, because the XpoLog platform is free for processing up to 1 gigabyte of log data per day. XpoLog is also the only automated log data analytics solution that supports the logstash data infrastructure, which is also supported by the 5.0 release.
The full product brochure, an online demo, additional pricing information, and a free trial of the Log Analysis Platform, are all available through XpoLog’s Web site.
