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
Gain a comprehensive view of the performance, capacity, and configuration of your multi-vendor SAN infrastructure from a single platform. By utilizing advanced built-in intelligence and statistical anomaly detection, you can significantly lower costs and reduce the mean time to resolution while maximizing the benefits of your SAN setup. IntelliMagic Vision for SAN offers an all-encompassing interface to oversee the overall health and performance of your SAN/NAS infrastructure. Its integrated artificial intelligence works proactively to identify problems and emerging bottlenecks within your storage systems that may hinder application performance and negatively impact your organization if not addressed in a timely manner, thereby greatly shortening the time needed to resolve any issues that arise. Moreover, automated health insights harness hardware-specific AIOps capabilities to pinpoint and mitigate the most frequent performance and capacity challenges associated with storage and fabric. These health insights encompass various metrics, timeframes, components, and AI-rated indicators, ensuring a thorough assessment of your infrastructure. By leveraging this proactive monitoring, organizations can enhance their operational efficiency and safeguard against potential disruptions.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
AWS Lambda
Yes
Amazon CloudWatch
Yes
Amazon Redshift
Yes
Amazon S3
Yes
Amazon Simple Notification Service (SNS)
Yes
IBM AIX
No
IBM Spectrum Virtualize
No
InfiniBox
No
NetApp Cloud Insights
No
UnixWare
No
Integrations
AWS Lambda
No
Amazon CloudWatch
No
Amazon Redshift
No
Amazon S3
No
Amazon Simple Notification Service (SNS)
No
IBM AIX
Yes
IBM Spectrum Virtualize
Yes
InfiniBox
Yes
NetApp Cloud Insights
Yes
UnixWare
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
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
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/lookout-for-metrics/
Vendor Details
Company Name
IntelliMagic
Country
Netherlands
Website
www.intellimagic.com/products/intellimagic-vision-for-san/
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