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Description
BMC AMI Ops Monitoring, previously known as MainView Monitoring, offers a centralized solution for managing your z/OS® and z/OS UNIX® environments, eliminating uncertainty in enhancing mainframe performance. This tool effectively lowers monitoring expenses, guarantees system uptime and efficiency, and reduces the likelihood of business services being disrupted. By providing an all-encompassing overview of your z/OS setup, including z/OS UNIX, it ensures that your mainframe aligns with the demands of contemporary digital enterprises—swiftly, effectively, intuitively, and cost-effectively. There’s no need to compromise; the system's resource optimization and unified data collection help reduce costs while maintaining service availability. Its seamless integration with advanced proactive automation anticipates issues before they arise. Additionally, features such as guided navigation to problem sources significantly decrease mean time to resolution (MTTR). The utilization of dynamic analytics-driven thresholds not only identifies potential issues but also enhances the efficiency and effectiveness of your staff, ultimately leading to a more resilient operational environment. As such, organizations can rely on this robust solution to navigate the complexities of modern mainframe management with confidence.
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
Azure DevOps
BMC Helix CMDB
CA Mainframe Security Insights Platform
Cherwell HR Service Management
Cherwell Software
Citrix Analytics
Control-M
Flexera One
Io-Tahoe
Jira
Integrations
Azure DevOps
BMC Helix CMDB
CA Mainframe Security Insights Platform
Cherwell HR Service Management
Cherwell Software
Citrix Analytics
Control-M
Flexera One
Io-Tahoe
Jira
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
BMC
Founded
2005
Country
United States
Website
www.bmc.com/it-solutions/bmc-ami-ops-monitoring.html
Vendor Details
Company Name
XStream Labs
Country
Italy
Website
www.xstream-labs.com
Product Features
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management