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Description

Enhance machine learning model performance by capturing real-time training metrics and issuing alerts for any detected anomalies. To minimize both time and expenses associated with the training of ML models, the training processes can be automatically halted upon reaching the desired accuracy. Furthermore, continuous monitoring and profiling of system resource usage can trigger alerts when bottlenecks arise, leading to better resource management. The Amazon SageMaker Debugger significantly cuts down troubleshooting time during training, reducing it from days to mere minutes by automatically identifying and notifying users about common training issues, such as excessively large or small gradient values. Users can access alerts through Amazon SageMaker Studio or set them up via Amazon CloudWatch. Moreover, the SageMaker Debugger SDK further enhances model monitoring by allowing for the automatic detection of novel categories of model-specific errors, including issues related to data sampling, hyperparameter settings, and out-of-range values. This comprehensive approach not only streamlines the training process but also ensures that models are optimized for efficiency and accuracy.

Description

Bugsnag provides comprehensive monitoring of application stability, empowering teams to make informed choices about whether to prioritize the development of new features or to address existing bugs. As a robust full-stack stability monitoring solution tailored for mobile applications, it offers advanced diagnostics that enable you to replicate any error effectively. With a user-friendly interface, you can manage all your applications seamlessly from a single dashboard. Bugsnag serves as a crucial metric for assessing app health, facilitating communication between product and engineering teams. Not every bug requires immediate attention, allowing you to concentrate on those that significantly impact your business. Its extensible libraries come with well-considered defaults and a plethora of customization options. Additionally, the team comprises subject matter experts who are genuinely invested in minimizing errors and ensuring the overall health of your applications, making Bugsnag an invaluable asset for developers.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
AWS Lambda
Amazon SageMaker Studio
Beanstalk
BugHerd
Causal
ClickUp
Craft CMS
FogBugz
Jira Service Management
MXNet
Opsgenie
Quickwork
SessionStack
Slack
Splunk On-Call
Trello
UserVoice
YouTrack
Zenduty

Integrations

Amazon Web Services (AWS)
AWS Lambda
Amazon SageMaker Studio
Beanstalk
BugHerd
Causal
ClickUp
Craft CMS
FogBugz
Jira Service Management
MXNet
Opsgenie
Quickwork
SessionStack
Slack
Splunk On-Call
Trello
UserVoice
YouTrack
Zenduty

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$59 per month
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/sagemaker/debugger/

Vendor Details

Company Name

Bugsnag

Founded

2013

Country

United States

Website

www.bugsnag.com

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Product Features

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

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