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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Collect logs from every possible source. Regardless of whether your setup includes containers, services, or traditional servers, Unomaly delivers comprehensive insights into each element of your IT environment. By analyzing data without relying on specific parsers or requiring prior knowledge of the data's format or structure, Unomaly simplifies the process. It accepts input from host systems, log collectors, log servers, cloud services, and various applications or technologies. Through its aggressive learning of recurring patterns, Unomaly generates profiles for each log source that transmits data, and these profiles evolve as your environment undergoes changes. The landscape of your IT infrastructure is constantly shifting, and Unomaly ensures that its understanding remains relevant by automatically updating its model to reflect your current state whenever new data is introduced. Many incidents arise from unidentified causes, making them difficult to define beyond their adverse effects. Unomaly not only identifies these issues but also highlights potential root causes as they emerge, proactively enhancing your incident response capabilities. This real-time adaptability ensures that your organization remains resilient in the face of evolving challenges in the IT landscape.

Description

In just a matter of minutes, you can now automate the collection, parsing, and forwarding of log data with the help of AI/ML-driven pattern detection tools. PortX by XPLG stands out as a premier solution for managing and forwarding log data streams, significantly cutting down on 90% of the manual scripting and labor-intensive tasks typically required. This innovative tool not only optimizes costs but also minimizes the need for Regular Expressions, Grok processing, and continuous maintenance. With its high performance, load balancing capabilities, and strong security features, PortX effectively streamlines the management of high-performance data streams while lowering resource consumption. Users can easily route and forward log data streams to various services, filtering out valuable events and archiving the rest as needed. By integrating smart-managed filters, it reduces data volume efficiently, allowing for customized data handling through a visual log parser and log viewer. Furthermore, PortX empowers users with complete control over their data sources through a user-friendly interface, enabling permission settings, event filtering, and log field customization to meet diverse needs. This comprehensive approach ensures that every aspect of log data management is both efficient and tailored to individual requirements.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Active Directory

Integrations

Active Directory

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Unomaly

Founded

2010

Country

Sweden

Website

unomaly.com

Vendor Details

Company Name

XPLG

Founded

2005

Country

United States

Website

www.xplg.com/port-x-log-parser/

Product Features

IT Management

Capacity Monitoring
Compliance Management
Event Logs
Hardware Inventory
IT Budgeting
License Management
Patch Management
Remote Access
Scheduling
Software Inventory
User Activity Monitoring

Product Features

Log Management

Archiving
Audit Trails
Compliance Reporting
Consolidation
Data Visualization
Event Logs
Network Logs
Remediation
Syslogs
Thresholds
Web Logs

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