Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Deep Text Inspection encompasses anomaly detection and clustering, utilizing advanced AI to analyze all log data while providing real-time insights and alerts. With machine learning clustering, it identifies emerging errors and unique risk KPIs, among other metrics, through effective pattern recognition and discovery techniques. This solution offers robust anomaly detection for data risk and content monitoring, seamlessly integrating with platforms like Logstash, ELK, and more. Deployable in mere minutes, AiOpsX enhances existing monitoring and log analysis tools by employing millions of intelligent observations. It addresses various concerns including security, performance, audits, errors, trends, and anomalies. Utilizing distinctive algorithms, the system uncovers patterns and evaluates risk levels, ensuring continuous monitoring of risk and performance data to pinpoint outliers. The AiOpsX engine adeptly recognizes new message types, shifts in log volume, and spikes in risk levels while generating timely reports and alerts for IT monitoring teams and application owners, ensuring they remain informed and proactive in managing system integrity. Furthermore, this comprehensive approach enables organizations to maintain a high level of operational efficiency and responsiveness to emerging threats.

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.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS Lambda No 
Amazon CloudWatch No 
Amazon Redshift No 
Amazon S3 No 
Amazon Simple Notification Service (SNS) No 
Elastic Cloud Yes 
Logstash Yes 

Integrations

AWS Lambda Yes 
Amazon CloudWatch Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Amazon Simple Notification Service (SNS) Yes 
Elastic Cloud No 
Logstash No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version 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 

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) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
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

XPLG

Founded

2005

Country

United States

Website

www.xplg.com/aiopsx-log-intelligence-for-application-monitoring/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/lookout-for-metrics/

Product Features

Application Performance Monitoring (APM)

Baseline Manager No 
Diagnostic Tools No 
Full Transaction Diagnostics No 
Performance Control No 
Resource Management No 
Root-Cause Diagnosis No 
Server Performance No 
Trace Individual Transactions No 

IT Infrastructure Monitoring

Alerts / Notifications No 
Application Monitoring No 
Bandwidth Monitoring No 
Capacity Planning No 
Configuration Change Management No 
Data Movement Monitoring No 
Health Monitoring No 
Multi-Platform Support No 
Performance Monitoring No 
Point-in-Time Visibility No 
Reporting / Analytics No 
Virtual Machine Monitoring No 

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 

Alternatives

Alternatives