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Description
Iris serves as a comprehensive framework for data collection, aimed at efficiently and swiftly delivering key performance indicators for network management. Designed to be robust and scalable, this framework addresses the common challenges encountered by internet service providers, effectively resolving various issues. The system is capable of generating insightful reports from extensive data sets, ensuring that users can interpret information meaningfully. As a holistic solution for network monitoring, Iris supports both enterprises and carrier-grade networks in their pursuit of achieving zero downtime and optimal performance levels. By employing advanced algorithmic techniques for the correlation and clustering of alerts, it allows for proactive identification of potential issues within the development ecosystem. Additionally, Iris Home offers an affordable and user-friendly option for monitoring home networks, providing crucial performance metrics for home internet connections with minimal computing requirements. This simplicity makes it an appealing choice for everyday users seeking to enhance their internet experience.
Description
The development of IT Governance platforms designed for managing Large Computing Systems, particularly those utilizing Mainframe technology, aims to modernize organizational practices and decrease cost structures.
The Challenge:
The significant ownership expenses associated with Large Computing Systems are a major concern.
A multitude of specialized products and countless reports are required for the effective management of the entire spectrum of customers' Large Computing Systems.
There is a notable challenge in formulating and supervising the principles of effective IT Governance, as well as a lag in adapting these principles to the rapidly changing technological landscape.
Additionally, there is a skills gap regarding Large Computing Systems, leading to a heavy reliance on system integrators and outsourcing services.
The Proposed Solution:
Implementing real-time mapping of hardware assets along with the collection of service delivery metrics will streamline management processes.
A unified platform will be established to oversee both the Large Computing Systems and the delivery of business services.
Utilization of Machine Learning technologies will enable the automatic classification of the collected metrics, as well as their correlation with business service delivery and the associated Key Performance Indicators.
This integrated approach not only enhances efficiency but also provides organizations with the agility needed to adapt to future technological advancements.
API Access
Has API
API Access
Has API
Integrations
SONIFI
Pricing Details
$10 per month
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
Iris Network Systems
Country
South Africa
Website
irisns.com
Vendor Details
Company Name
XStream Labs
Country
Italy
Website
www.xstream-labs.com
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
