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Description
Expanso operates jobs directly at the location of your data, harnessing local computing power while significantly reducing data transfer requirements. By employing a peer-to-peer network of nodes, we effectively decrease latency dependence and improve your data governance practices. You can fine-tune your data flows with remarkable precision. Through its container orchestration, Expanso facilitates distributed application deployments by utilizing this peer-to-peer architecture, which enhances redundancy and fault tolerance in your deployments. This distributed framework minimizes the chances of single points of failure, resulting in a more dependable system with enhanced reliability. Moreover, Expanso supports on-device computing, which can lead to notable cost reductions. By executing computations on edge devices, you can greatly lower data transmission and cloud infrastructure costs. This approach also reduces the frequency of data leaving your facilities, thereby decreasing the potential for regulatory challenges. In addition, this innovative method empowers businesses to maintain better control over their sensitive information.
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
Google Cloud Build
Google Cloud Platform
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
Expanso
Founded
2023
Country
United States
Website
www.expanso.io
Vendor Details
Company Name
XStream Labs
Country
Italy
Website
www.xstream-labs.com
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management