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
Glasnostic seamlessly integrates into the network data path without the need for agents, allowing it to monitor the interaction patterns among various services while identifying anomalies and implementing effective control mechanisms in real-time. The value of visibility diminishes if it is not linked to actionable responses, and Glasnostic empowers engineers to react proactively to system behaviors as they unfold. By embedding transparent controllers within the network data plane, Glasnostic functions like a centralized brain that continuously detects and addresses behaviors instantaneously. Interaction metrics are relayed to the control plane for both storage and the identification of anomalies, facilitating either automated responses or manual interventions. It is compatible with all leading cloud technologies and can seamlessly integrate with existing AIOps, workflow, and security tools through APIs and webhooks. Additionally, Glasnostic is designed to operate across all significant technology stacks, providing a comprehensive view of system behaviors in a holistic, consistent, and omnipresent manner, ensuring that engineers have the insights they need to maintain optimal operational efficiency. As a result, organizations can achieve greater reliability and responsiveness in their IT environments.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
AWS Gateway Load Balancer
No
AWS Lambda
Yes
AWS Marketplace
No
AWS Storage Gateway
No
Amazon CloudWatch
Yes
Amazon Redshift
Yes
Amazon S3
Yes
Amazon Simple Notification Service (SNS)
Yes
Azure Application Gateway
No
Istio
No
Integrations
AWS Gateway Load Balancer
Yes
AWS Lambda
No
AWS Marketplace
Yes
AWS Storage Gateway
Yes
Amazon CloudWatch
No
Amazon Redshift
No
Amazon S3
No
Amazon Simple Notification Service (SNS)
No
Azure Application Gateway
Yes
Istio
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$250 per month
Free Trial
Yes
Free Version
Yes
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
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
No
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
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/lookout-for-metrics/
Vendor Details
Company Name
Glasnostic
Country
United States
Website
glasnostic.com/product
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