Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Traditional RMF/SMF data analysis often relies on static reports that are not only costly and challenging to maintain but also take years to master, leading to the creation of knowledge silos within teams. In contrast, IntelliMagic Vision offers customizable reports paired with an exceptional level of built-in z/OS intelligence, enabling analysts to uncover hidden risks, optimize workloads for substantial cost reductions, enhance the contributions of experts, and speed up the training and efficiency of new employees. By leveraging AI-driven analytics, organizations can optimize performance management of z/OS systems, allowing for proactive monitoring and management of the environment, which helps avert disruptions, minimize expenses, and maintain the reliability and availability synonymous with mainframes. Additionally, by providing deep insights into cost drivers such as suboptimal CPU usage, configuration challenges, workload imbalances across hardware, and potential consolidation opportunities, organizations can achieve significant cost savings. This comprehensive approach not only enhances operational efficiency but also fosters a more collaborative and knowledgeable workforce.
Description
The well-being of the infrastructure that underpins your vital applications is crucial for effective application delivery. A failure in your infrastructure leads directly to a breakdown of your applications. Furthermore, the infrastructure is dynamic and not fixed; it frequently undergoes changes regarding both its configuration and layout. Therefore, IT departments must take a proactive stance in managing and monitoring their IT infrastructure to identify performance problems, map out application network paths, create network diagrams, track changes in configurations, and resolve infrastructure-related issues. Utilizing a variety of methods such as SNMP, WMI, streaming, CLI, traps, syslog, and synthetic testing can provide a comprehensive view of the performance of enterprise infrastructure. Additionally, employing native health scoring can quickly pinpoint which devices and sites are experiencing degradation, facilitating rapid problem resolution. This comprehensive approach ultimately ensures a more resilient and efficient IT environment.
API Access
Has API
API Access
Has API
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
IntelliMagic
Founded
2002
Country
Netherlands
Website
www.intellimagic.com/products/intellimagic-vision-zos/
Vendor Details
Company Name
Riverbed
Founded
2002
Country
United States
Website
www.riverbed.com/products/netim/
Product Features
IT Infrastructure Monitoring
Alerts / Notifications
Application Monitoring
Bandwidth Monitoring
Capacity Planning
Configuration Change Management
Data Movement Monitoring
Health Monitoring
Multi-Platform Support
Performance Monitoring
Point-in-Time Visibility
Reporting / Analytics
Virtual Machine Monitoring
Product Features
IT Infrastructure Monitoring
Alerts / Notifications
Application Monitoring
Bandwidth Monitoring
Capacity Planning
Configuration Change Management
Data Movement Monitoring
Health Monitoring
Multi-Platform Support
Performance Monitoring
Point-in-Time Visibility
Reporting / Analytics
Virtual Machine Monitoring
Network Troubleshooting
Alerts / Escalation
Bandwidth Troubleshooting
Change Management
Configuration Management
Connectivity Management
Data Visualization
Historical Audit
Mobile Network Troubleshooting
Network Analysis
Network Monitoring