Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Minimize false positives and leverage machine learning (ML) to effectively identify anomalies in business performance indicators. Investigate the underlying causes of these anomalies by clustering similar outliers together for analysis. Provide a summary of these root causes and prioritize them based on their impact. Ensure a smooth integration with AWS databases, storage services, and external SaaS platforms for comprehensive metrics monitoring and anomaly detection. Set up automated alerts and responses tailored to the detection of anomalies. Utilize Lookout for Metrics, which employs ML to both discover and analyze anomalies in business and operational datasets. The challenge of recognizing unexpected anomalies is compounded by the limitations of traditional manual methods that are prone to errors. Lookout for Metrics simplifies the detection and diagnosis of data inconsistencies without requiring any expertise in artificial intelligence (AI). Monitor irregular fluctuations in subscriptions, conversion rates, and revenue to remain vigilant about sudden market shifts, ultimately enhancing strategic decision-making capabilities. By adopting these advanced techniques, businesses can improve their overall performance management and response strategies.
Description
NCM Intelligent Operations, previously known as Prism Pro/Ultimate, enhances capacity management, identifies performance irregularities proactively, and simplifies operational tasks with assurance. With a user-friendly interface, it allows for effortless optimization of virtualization and infrastructure management through predictive analytics and automation of tasks. Users can streamline daily operations and boost productivity with minimal effort and no coding required. Gain insights into VM performance in real-time, quickly identify anomalies, and implement automated solutions. Understand capacity utilization, forecast to accommodate business needs, and uncover inefficiencies within the system. The solution leverages machine learning techniques to anticipate capacity trends and recommend resource enhancements effectively. When infrastructure anomalies are detected, they automatically initiate alerts and trigger intelligent remediation processes. Rather than relying on a single algorithm, X-FIT employs a diverse range of models competing in a tournament-style format to identify the most effective one tailored for specific environments, ensuring optimized operations and improved outcomes. This innovative approach not only enhances performance but also significantly reduces the time spent on manual oversight.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AWS Lambda
Yes
Amazon CloudWatch
Yes
Amazon Redshift
Yes
Amazon S3
Yes
Amazon Simple Notification Service (SNS)
Yes
Checkmk
No
Netreo
No
Nutanix Cloud Platform
No
Integrations
AWS Lambda
No
Amazon CloudWatch
No
Amazon Redshift
No
Amazon S3
No
Amazon Simple Notification Service (SNS)
No
Checkmk
Yes
Netreo
Yes
Nutanix Cloud Platform
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/lookout-for-metrics/
Vendor Details
Company Name
Nutanix
Founded
2009
Country
United States
Website
www.nutanix.com/products/cloud-manager/intelligent-operations
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Data Center Management
Audit Trail
No
Behavior-Based Acceleration
No
Cross Reference System
No
Device Auto Discovery
No
Diagnostic Testing
No
Import / Export Data
No
JCL Management
No
Multi-Platform
Yes
Multi-User
No
Power Management
No
Sarbanes-Oxley Compliance
No
IT Management
Capacity Monitoring
No
Compliance Management
No
Event Logs
No
Hardware Inventory
No
IT Budgeting
No
License Management
No
Patch Management
No
Remote Access
No
Scheduling
No
Software Inventory
No
User Activity Monitoring
No