+
+

Related Products

  • Runpod
    230 Ratings
    Visit Website
  • FinOpsly
    3 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • TrustInSoft Analyzer
    6 Ratings
    Visit Website
  • Sage Intacct
    8,776 Ratings
    Visit Website
  • sellerboard
    282 Ratings
    Visit Website
  • Google Cloud BigQuery
    2,027 Ratings
    Visit Website
  • Servers.com by Nexcess
    15 Ratings
    Visit Website
  • FISPAN
    5 Ratings
    Visit Website
  • Nexcess Managed Cloud
    210 Ratings
    Visit Website

About

Optimize ML models by capturing training metrics in real-time and sending alerts when anomalies are detected. Automatically stop training processes when the desired accuracy is achieved to reduce the time and cost of training ML models. Automatically profile and monitor system resource utilization and send alerts when resource bottlenecks are identified to continuously improve resource utilization. Amazon SageMaker Debugger can reduce troubleshooting during training from days to minutes by automatically detecting and alerting you to remediate common training errors such as gradient values becoming too large or too small. Alerts can be viewed in Amazon SageMaker Studio or configured through Amazon CloudWatch. Additionally, the SageMaker Debugger SDK enables you to automatically detect new classes of model-specific errors such as data sampling, hyperparameter values, and out-of-bound values.

About

1) Minimal Setup: Just include the Errsole package in your code—no need for dedicated servers, software installations, or complicated configurations. 2) Logger++: Errsole automatically collects all logs from the Node.js console. Additionally, it provides advanced logging functions that support multiple log levels and the ability to attach metadata to logs. 3) Log Viewer: View, filter, and search through your logs using the built-in Web Dashboard. Secure authentication and team management features ensure that only you and your team can access the logs. 4) Critical Error Notifications: Get immediate notifications when your app crashes or encounters critical errors. The notification includes the error message, the app name, the environment, the server name, and a direct link to view the error in your logs.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Businesses seeking a tool to optimize ML models with real-time monitoring of training metrics and system resources

Audience

Software Developers, Web Developers, Testing Engineers, Product Managers, Nodejs Developers, DevOps Engineers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

0
Opensource
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/debugger/

Company Information

Errsole
Founded: 2023
India
errsole.com

Alternatives

Alternatives

Bugfender

Bugfender

Beenario
Honeycomb

Honeycomb

Honeycomb.io
Seagence

Seagence

Seagence Technologies

Categories

Categories

Integrations

AWS Lambda
Amazon CloudWatch
Amazon SageMaker
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Change Healthcare Data & Analytics
Gmail
Keras
MXNet
PyTorch
Slack
TensorFlow

Integrations

AWS Lambda
Amazon CloudWatch
Amazon SageMaker
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Change Healthcare Data & Analytics
Gmail
Keras
MXNet
PyTorch
Slack
TensorFlow
Claim Amazon SageMaker Debugger and update features and information
Claim Amazon SageMaker Debugger and update features and information
Claim Errsole and update features and information
Claim Errsole and update features and information