XPOLOG LOG AUGMENTED SEARCH™ 5.0 is HERE!

Analytics and machine learning add intelligence to Hadoop application and server log analysis

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NEW YORKMay 21, 2014 /PRNewswire/ — 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 thelogstash 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.

About XpoLog Ltd
XpoLog Ltd is an IT operations analytics software company based in the Israel and the U.S. that invented augmented search, a breakthrough which unlocks the hidden value of log data. The platform drastically reduces time to resolution and provides a wealth of intelligence, trends, and insights into enterprise IT environments. XpoLog is a trusted source for DevOps analytics tools with over 10 years of experience in the IT industry. Trial versions of the XpoLog Platform can be downloaded as a standalone server or J2EE application through the company’s official website. [http://www.xpolog.com]

 

Free Log Management XpoLog 1GB/Day Full-Featured Version

by Haim Koschitzky, CEO

Untitled-34Great news folks, today we have unveiled our new pricing plan, which includes a unique free offering for those who want to start using XpoLog’s log management and analysis system with Augmented Search technology. The free plan includes all features and is limited to 1GB/Day. The license has no limitations on the number of users or devices that send log data. XpoLog can be installed on-premise as well as on the client’s private and public cloud environment.

We are very excited to be first in the market to offer a fully-featured, leading technology solution for free. Continue reading

Application Log Management Vs. Security Log Management / SIEM

base22In the past several years log analysis technologies have matured, becoming a mainstream solution for troubleshooting a variety of problems across the various IT layers (infrastructure elements as well as applications). Although at first sight these technologies seem to do the same thing, i.e. enable the analysis of log events, different technologies have evolved to deal with different use cases. One of the main differentiation is the use of log analysis for data security vs. the use of log analysis for troubleshooting applications. In this post I will explain the main differences between these two use cases and the different technologies that are most appropriate for each one. Continue reading

Search, big data and log analysis: a coming of age story

Search, big data and log analysis: a coming of age story

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The evolution of search is a fascinating story that can tell us a lot about how to solve other big data challenges such as log management and log analysis in IT environments. After all, in all these cases the basic idea is finding the “needle in a haystack” as quickly as possible. Continue reading