XpoLog’s unique patented approach (US7895167) is based on an integrated technology strategy. Our platform uses multiple components and algorithms to work symbiotically with one another.

This unique data platform and algorithm service combination ensures highly optimized and well orchestrated technology for data analysis.

 

Indexing engine embedded tagging and abstracting information

Fault detection and anomalies based on advanced text analytics

Unique pattern detection

Combining auto-detected information with predefined knowledge

Combining machine learning and human intelligence

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Agent-less Any Log Data Collection | Added Values Features Tour | XpoLog - Log Analysis & Management

Agent-less Log Data Collection

All common protocols, all file formats, all in real time.

XpoLog receives log events via common protocols:

  • SysLog
  • supports agents like fluentd or Logstash
  • live log data over SSH connections (unique agent-less technologies)

XpoLog supports:

  • any log file format: txt, json, xml
  • dynamic cyclic files: Zip, Gzip, binary formats

XpoLog has the power to:

  • maintain high availability grids
  • collect data in real time from files, events, databases, and more…
Agent-less Any Log Data Collection | Added Values Features Tour | XpoLog - Log Analysis & Management
Centralized Log Management | Added Values Features Tour | XpoLog - Log Analysis & Management

Log Management Platform

All data managed in one central log data repository.

  • XpoLog organizes all data sets in a virtual logical structure for quick access of all data nodes.
  • XpoLog manages archived data and applies data federation rules for security by protecting data integrity with MD5.

 

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Centralized Log Management | Added Values Features Tour | XpoLog - Log Analysis & Management
Out of the box Apps | Added Values Features Tour | XpoLog - Log Analysis & Management

Out-of-the-Box Apps

Predefined Data Apps

Out-of-the-box Apps are a predefined set of dashboards that can be applied automatically to known data sources. Within minutes, these Apps can:

  • generate valuable insights
  • quickly generate intelligence
  • comply with regulations

  • enhance security
  • detect errors
  • investigate systems

Right now, the XpoLog Team are building more Apps to extend the collaborative knowledge that help us unlock the hidden value in your data.

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Out of the box Apps | Added Values Features Tour | XpoLog - Log Analysis & Management

Integrations

XpoLog’s virtual data engine is a powerful data virtualization technology that allows for a dynamic creation of parsing rules.

System Integrations | Added Values Features Tour | XpoLog - Log Analysis & Management
Security Platform | Added Values Features Tour | XpoLog - Log Analysis & Management

Security

The XpoLog platform delivers enterprise grade security architecture for your data.

  • With integration to the enterprise security tools, encryption, and compression, you can transport, align, and govern critical data.
  • Our transport layer moves large data sets quickly through SSH encryptions.
  • We have authorization and authentication mechanisms along with integration to entitlements databases.
  • For data level security we have created a mechanism in our Virtual Data Engine allowing masking and encapsulating information through virtual data nodes.
  • We protect stored information with MD5 and other algorithms.

 

Security Platform | Added Values Features Tour | XpoLog - Log Analysis & Management
Platform Scalability | Added Values Features Tour | XpoLog - Log Analysis & Management

Scalability

XpoLog’s highly flexible platform architecture with built-in load balancing capability for data processing lets you process huge sets of data and scale according to your organization’s needs.

    • XpoLog architecture is based on nodes, clusters, agent-less, agents, and UI nodes.
    • We support MapReduce architecture, that help organizations run distributed data management solutions without moving large data sets across DMZs.
    • We run distributed searches in real time and get results from all clusters and nodes with an HTTPS communication layer between our nodes.
    • The XpoLog platform scales to collect dozens of terabytes per day and to maintain archives and historical information for long periods of time, in case you need to load old data sets for forensics, security, or compliance.

 

Platform Scalability | Added Values Features Tour | XpoLog - Log Analysis & Management
Platform Health Monitoring | Added Values Features Tour | XpoLog - Log Analysis & Management

Self Monitoring

Self monitoring for self inspection

The XpoLog platform comes with its own self monitoring system and self support portal that helps administrators manage XpoLog platform deployments. The platform inspects:

  • network connections and quality
  • storage state
  • performance

  • data collection and structure
  • alerting
  • real time analytics

Our support and monitoring rules will send notification for:

  • any anomaly with internal tasks
  • data collection issues

  • critical processing services
  • and more…

The self monitoring and support is part of the platform’s basic components.

 

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Platform Health Monitoring | Added Values Features Tour | XpoLog - Log Analysis & Management
Added Values Feature Tour | Added Values Features Tour | XpoLog - Log Analysis & Management

See Features Tour

XpoLog finds and analyzes your system and application anomalies so quickly you could practically consider it a contraceptive for errors. Here is a quick abstract to what’s in store…

 

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In Depth Analytics | Added Values Features Tour | XpoLog - Log Analysis & Management

In-Depth Analytics – Unique!

Our Virtual Data Engine helps you manipulate data sets with on-parse computation, data masking, and semantic terms extraction. Not to mention pre-tagging every anomaly with a severity level…

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Out of the box Apps | Added Values Features Tour | XpoLog - Log Analysis & Management

Out of the Box Apps

Visualize known systems logs in multiple contexts, like security, statistics, intelligence, performance, and availability with our predefined set of reports and analysis rules.

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