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What is Centreon?

Centreon stands as a worldwide leader in IT monitoring that emphasizes business awareness to ensure optimal performance and uninterrupted operations. The company's AIOps-ready platform is comprehensive and tailored to function effectively within the intricacies of modern hybrid cloud environments, adeptly addressing the challenges posed by distributed clouds. By monitoring every facet of IT infrastructure, from cloud services to edge devices, Centreon provides a detailed and all-encompassing perspective. It eradicates blind spots by overseeing all hardware, middleware, and applications integral to contemporary IT workflows. This monitoring encompasses legacy systems on-premises, as well as assets in private and public clouds, extending all the way to the network's edge where smart devices and customer interactions converge to generate business value. Always keeping pace with the latest developments, Centreon is adept at managing even the most fluid operational settings. Its auto-discovery features enable seamless tracking of Software Defined Networks (SDN), AWS or Azure cloud resources, Wi-Fi access points, and all other components vital to today’s flexible IT infrastructure. Through continuous innovation and a commitment to adaptability, Centreon ensures that organizations maintain a competitive edge in an ever-evolving digital landscape.

What is AutoDiscovery?

AutoDiscovery is a sophisticated software solution crafted for automated exploratory data analysis, enabling biomedical researchers to uncover complex relationships hidden within their experimental and clinical trial data. This innovative tool autonomously identifies the appropriate statistical tests required to assess the connections between different variable combinations in each data subset. AutoDiscovery effectively tackles prevalent challenges in biomedical research, such as discerning cause-effect relationships, managing false discovery rates, addressing small sample sizes, organizing treatment groups, and ensuring result traceability. Specifically designed for Principal Investigators, who often face time constraints and may lack extensive statistical knowledge, it allows them to focus on conducting significant and productive research endeavors. Additionally, this software streamlines research workflows, promoting faster insights and breakthroughs in the biomedical domain while empowering researchers to make data-driven decisions with confidence. By leveraging AutoDiscovery, researchers can enhance the overall quality of their findings and contribute more effectively to advancements in health science.

Media

Media

Integrations Supported

3CX
AWS Elastic Load Balancing
Amazon RDS
Amazon S3
Amazon Simple Notification Service (SNS)
Apache Cassandra
BizTalk Server
Docker
Ekara
Google Cloud Platform
Google Compute Engine
IBM MQ
Kubernetes
Microsoft 365
Microsoft Azure
SAP HANA
SMSEagle
Selenium
Veritas NetBackup
iTop

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

€1.795 per year

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Centreon

Date Founded

2005

Company Location

France

Company Website

www.centreon.com/en/platform/

Company Facts

Organization Name

Butler Scientifics

Date Founded

2014

Company Location

Spain

Company Website

www.butlerscientifics.com

Categories and Features

Cloud Monitoring

Not specified

Container Monitoring

Not specified

Database Monitoring

Not specified

Hardware Monitoring

Not specified

IT Alerting

Not specified

Log Management

Not specified

Log Monitoring

Not specified

Network Monitoring

Not specified

RMM

Not specified

Server Monitoring

Not specified

Website Monitoring

Not specified

Categories and Features

Data Discovery

Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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