Amazon SageMaker DebuggerAmazon
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Related Products
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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.
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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.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Businesses seeking a tool to optimize ML models with real-time monitoring of training metrics and system resources
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Audience
Software Developers, Web Developers, Testing Engineers, Product Managers, Nodejs Developers, DevOps Engineers
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
0
Opensource
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/sagemaker/debugger/
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Company InformationErrsole
Founded: 2023
India
errsole.com
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Categories |
Categories |
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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
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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
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