XpoLog Ltd, the company that invented Augmented Search for IT log analysis, is integrating its industry leading technologies with, logstash, a popular open source log-processing tool. Organizations benefit by leveraging their existing infrastructure with XpoLog’s robust log management features, automated triaging of IT problems, and advanced reporting and visualization – with pricing that ranges from free to affordable.
Elasticsearch.org’s logstash project centralizes logging with user-defined rules; however, it lacks enterprise level features. While it may be used in combination with several separate open source projects, only XpoLog offers a production-proven, holistic solution to maximize its full potential.
XpoLog enables logstash users to create Web access log statistics, application log error summaries, performance charts, and other reports, quickly and efficiently. Statistical queries instantly visualize log data, which can be used to build charts, dashboards, geomaps, and much more.
XpoLog is also the only automated log data analytics solution that supports the logstash data infrastructure. Users can avoid time-consuming manual searches. Customers using XpoLog’s Augmented Search for DevOps have reported drastically reduced time-to-resolution across major vertical industries.
“We believe that it’s important to support the data infrastructures that our customers want to use,” said XpoLog CEO Haim Koschitzky. “It’s also vital for organizations that have already invested in a data engine to have access to the most advance data analytics technologies available on the market.”
XpoLog’s solution uniquely layers intelligence on top of search context using semantic analysis, as well as pattern and anomaly detection to uncover insights and trends into application problems, systems, and user behavior. Those capabilities allow it to capture a wealth of intelligence from within IT environments, including the analysis of proprietary log data. There is also no barrier to entry, because the XpoLog platform is free for processing up to 1 gigabyte of log data per day.