Algorithms that Accelerate Time to Action

XpoLog: No log left unturned. No data left adjourned.

XpoLog’s unique patented technology (US7895167) uses multiple components and algorithms that work symbiotically with one another. We find all errors so quickly you have time to fix them before they can cause any damage to your Applications or Systems.

Choose your own Parsing     
The XpoLog Virtual Data Engine (VDE) allows for automatic and dynamic creation of parsing rules.

Analytic Search   
The XpoLog Analytic Engine amplifies your intelligence with unique auto-detected augmented layers of in-depth analytics.

Autotag Errors with Severity Levels
Every unique signed event is tracked, aggregated, and all errors within it are given a severity level.

Statistical Anomaly Detection  
XpoLog finds all unknown patterns in your applications and IT data.

 

Machine Learning Profiling
XpoLog dynamically modifies algorithms to monitor the ever changing state of your apps and systems.

Logical Data Structure
XpoLog has developed a robust, dynamic virtual structure mechanism that helps govern complex environments.

Data Abstraction and Tagging
XpoLog builds rich metadata indexing structures that are later used alongside other computation algorithms.

 

Virtual Data Engine | In-Depth Analytics | XpoLog - Log Analysis & Management

Virtual Data Engine 

Dynamic Parsing Rules

The XpoLog Virtual Data Engine (VDE) has a powerful data virtualization technology that allows for a dynamic creation of parsing rules. With autodetection of log formats, our parsing technology brings an easy-to-use approach to creating plugins and adapters for any source.

XpoLog VDE allows virtual manipulation of data sets, on-parse computation, data masking, semantic terms extraction, and much more. With XpoLog, you can choose between sitting back and letting us do the parsing for you, or you can take charge and make your own parsing rules. Or both.

XpoLog Viritual Data Engine:

We give you the tools. You give us the rules.

 

Virtual Data Engine | In-Depth Analytics | XpoLog - Log Analysis & Management
Analytic Search | In-Depth Analytics | XpoLog - Log Analysis & Management

Analytic Search

Autodetected Augmented Analytic Layers

Accelerate time to action with the XpoLog Analytic Engine. Manual searches are limited to the pre-knowledge of the users. XpoLog lets you amplify and augment your intelligence with unique autodetected layers of in-depth analytics.

These In-Depth Analytics Insights offer valuable information in the context of manual and data search, they even come with a severity level so you know what needs urgent attention, and users from various groups within your organization discover anomalies faster. Users discover unknown issues and patterns they never could have guessed were there, and these issues can have a critical effect on your IT and business success. 

XpoLog Analytic Engine:

Accelerate time to action.

 

 

 

Analytic Search | In-Depth Analytics | XpoLog - Log Analysis & Management
Text Semantic Analytics | In-Depth Analytics | XpoLog - Log Analysis & Management

Text Semantic Analytics

Autotag errors and severity levels

The XpoLog In-Depth Semantic processing identifies each log event, scans it, and compares its content against an ontology (XpoLog’s unique proprietary dictionary). Our technology helps identify whether the content of the event indicates there is an error, and what the severity of this error is.

Every unique signed event is tracked, aggregated, and constantly monitored for its appearance across all sources. By applying this technology, XpoLog automatically assigns every anomaly a severity level. This awesome automatic severity level tagging feature is unique to XpoLog.  

XpoLog In-Depth Auto-tagging:

Every error is automatically distributed a severity level.

 

 

 

 

Text Semantic Analytics | In-Depth Analytics | XpoLog - Log Analysis & Management
Statistical Anomaly Detection | In-Depth Analytics | XpoLog - Log Analysis & Management

 Statistical Anomaly Detection

Finding the unknown patterns

Continuous delivery and constant creativity is a complex challenge as everything is changing all the time, and the more alterations, the more room for errors. XpoLog Anomaly patterns tackle those challenges with a unique approach to computing anomalies.

XpoLog anomaly detection is based on specific system  management use cases, combining the technology for unique messages profiling of log data with multivariant statistic models, thus focusing on detecting and finding all unknown patterns in your applications and IT data.  

XpoLog Anomaly Detection:

No log left unturned, no data left adjourned.

 

 

 

Statistical Anomaly Detection | In-Depth Analytics | XpoLog - Log Analysis & Management
Machine Learning Profiling | In-Depth Analytics | XpoLog - Log Analysis & Management

Machine Learning Profiling

In the midst of intense technology, to us, you are still unique

XpoLog In-Depth Analytic technologies allow users to modify priorities and variants in order to calibrate our technology to their own unique needs. Along with this approach we have developed an internal audit mechanism that constantly tracks user searches, operations, and errors in order to dynamically modify and calibrate our algorithms to the ever changing state of your apps and systems.

XpoLog Machine Learning Technology:

Keeping the complex complex, yet simplifying it for you.

 

 

 

Machine Learning Profiling | In-Depth Analytics | XpoLog - Log Analysis & Management
Logical Data Structure | In-Depth Analytics | XpoLog - Log Analysis & Management

Logical Data Structure

High potential growth of your data? We already took care of it.

Data complexity and source numbers will increase exponentially in the near future, with more devices reporting data to your platform.  In order to be able to manage, orchestrate, secure, and quickly browse through millions of logs and data sources, we have developed a robust, dynamic virtual structure mechanism that helps govern complex environments.

XpoLog brings a fresh approach to data management, by creating virtual structured tags to data sources along with the ability to create virtual data sources so that administrators can greatly simplify how the data is organized from a user-friendly UI. Later these structures can be used for security, management, search, reports, and more.

XpoLog Data Structure:

Because size doesn’t matter.

Logical Data Structure | In-Depth Analytics | XpoLog - Log Analysis & Management
Data Abstraction and Tagging | In-Depth Analytics | XpoLog - Log Analysis & Management

Data Abstraction and Tagging

Build the foundations for knowledge reuse

In order to build apps that will work out of the box and in order to be able to reuse knowledge and data science, we have created an abstraction layer for advanced tagging. Our tagging mechanism is built with multi-purpose in mind, to tag errors and events,  and also to create virtual flows, structures, and descriptors for log patterns, sources, events, information, and more.

Our indexing engine utilizes business application tags and data tagging to build a rich metadata indexing structure that later is used with other computation algorithms.  

XpoLog Tagging:

Knowing when and what to recycle.

 

 

Data Abstraction and Tagging | In-Depth Analytics | XpoLog - Log Analysis & Management
Feature Tour | In-Depth Analytics | XpoLog - Log Analysis & Management

See Features Tour

XpoLog finds and analyzes your anomalies so quickly you could practically consider it a contraceptive for errors. Here is a quick abstract to some of the features in store…

 

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How it Works - Technology | In-Depth Analytics | XpoLog - Log Analysis & Management

How it Works – Technology

Pre-Discover Tomorrow’s Unknown Issues with our dynamic parsing rules, pattern detection, custom monitoring, advanced data mining, and more…

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Out of the Box Apps | In-Depth Analytics | XpoLog - Log Analysis & Management

Out of the Box Apps

Generate valuable insights quickly with our predefined set of dashboards that can be applied automatically to all your known data sources.

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