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Description
OBM is an adaptable platform for managing loads and computing resources, specifically aimed at enhancing the efficiency of energy-demanding operations while ensuring precise control over energy usage. Its flagship offering, the Foreman platform, equips users with real-time monitoring, automation, and remote management features, allowing operators to manage extensive fleets of computing equipment through a unified interface. The system consistently monitors essential metrics like hash rate, energy consumption, equipment health, and configuration status, which facilitates quicker problem identification and informed decision-making based on data analytics. OBM's technology is engineered to boost both profitability and operational efficiency by automating various tasks, including rebooting inactive machines, handling power surges, and reallocating equipment for maintenance. Additionally, the platform's capabilities have grown to encompass not only cryptocurrency mining but also support for AI training workloads, high-performance computing (HPC) data centers, and other flexible load environments that demand agile energy management. This versatility ensures that OBM remains relevant in an ever-evolving technological landscape.
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
No details available.
Integrations
No details available.
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
OBM
Country
United States
Website
obm.io
Vendor Details
Company Name
XStream Labs
Country
Italy
Website
www.xstream-labs.com
Product Features
Energy Management
Benchmarking
Bill Audit
Bill Database
Bill Importing
Budgeting & Forecasting
Compliance Management
Contract Management
Cost / Use Reporting
Emissions Monitoring
Energy Price Analysis
Facility Scheduling
Greenhouse Gas Tracking
Load Control
Load Forecasting
Meter Tracking
Risk Management
Weather Normalization
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
