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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
Real-time monitoring and notification of exceptions: The Error Reporting tool counts, evaluates, and compiles crashes occurring within your cloud services. It features a centralized interface for error management that allows for sorting and filtering of results. A specialized view provides comprehensive error details, including a timeline chart, frequency of occurrences, number of impacted users, first and last occurrence dates, along with a refined exception stack trace. You can also opt to receive alerts via email and mobile for any new errors that arise. Gain a quick understanding of errors: Instantly view your application's most significant or newly identified errors on an intuitive dashboard. Relying on a log stream to pinpoint critical errors can hinder your troubleshooting efforts. Error Reporting delivers processed information directly to you, facilitating a quicker understanding and resolution of root issues. Additionally, this tool enhances your overall incident response efficiency.
API Access
Has API
API Access
Has API
Integrations
AWS Lambda
Amazon CloudWatch
Amazon EC2
Amazon Redshift
Amazon S3
Amazon Simple Notification Service (SNS)
Google App Engine
Google Cloud Platform
Google Compute Engine
Integrations
AWS Lambda
Amazon CloudWatch
Amazon EC2
Amazon Redshift
Amazon S3
Amazon Simple Notification Service (SNS)
Google App Engine
Google Cloud Platform
Google Compute Engine
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/lookout-for-metrics/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/error-reporting
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Bug Tracking
Backlog Management
Filtering
Issue Tracking
Release Management
Task Management
Ticket Management
Workflow Management