Amazon SageMaker DebuggerAmazon
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LiveDebuggerSoftware Mansion
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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
LiveDebugger is a development tool that makes Phoenix LiveView debugging simple by helping developers see what is happening inside their applications in real time. It gives teams a clear view of the LiveView and LiveComponent structure, making it easier to understand how components fit together and shape the interface. Developers can explore the component tree at a glance, quickly identify where issues originate, and navigate the hierarchy of a LiveView application without guessing which part of the UI is responsible for a problem. LiveDebugger also lets users inspect assigns for any LiveView or LiveComponent in real time, helping them track state transitions, understand data flow, and see how values change as they interact with the app. Its callback tracing tools make it possible to follow lifecycle callbacks, measure execution time, analyze performance, and filter events so developers can focus only on what matters.
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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
Developers and Elixir teams who need a real-time debugging tool to inspect component trees, assigns, callbacks, state transitions, and UI-to-component relationships
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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
Free
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 InformationSoftware Mansion
Founded: 2012
Poland
docs.swmansion.com/live-debugger/
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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
Elixir
Google Chrome
Keras
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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
Elixir
Google Chrome
Keras
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