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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.

About

Polar Signals cloud is an always-on, zero-instrumentation continuous profiling product that helps improve performance, understand incidents, and lower infrastructure costs. With just one command and the easiest onboarding guide you’ll ever see, you can start saving costs and optimizing performance in your infrastructure. Travel back in time to pinpoint incidents and issues. Profiling data provides unique insight and depth into what a process executed over time. Utilize profiling data collected over time to confidently and statistically identify hot paths for optimization. Many organizations have 20-30% of resources wasted with code paths that could be easily optimized. Polar Signals Cloud employs an exceptional blend of technologies, purpose-built to deliver the profiling toolset essential for today's evolving infrastructure and applications. With a zero instrumentation setup, deploy immediately and reap the benefits of actionable observability data.

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

Developers interested in a solution to build faster and more reliable apps

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

$50 per month
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

Polar Signals
Founded: 2020
www.polarsignals.com

Alternatives

Alternatives

Polaris-M

Polaris-M

Airy Optics

Categories

Categories

Integrations

.NET
AWS Lambda
Amazon CloudWatch
Amazon SageMaker
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
C
Clojure
Discord
Erlang
GraalVM
Java
Julia
Kotlin
Kubernetes
Prometheus
PyTorch
TensorFlow

Integrations

.NET
AWS Lambda
Amazon CloudWatch
Amazon SageMaker
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
C
Clojure
Discord
Erlang
GraalVM
Java
Julia
Kotlin
Kubernetes
Prometheus
PyTorch
TensorFlow
Claim Amazon SageMaker Debugger and update features and information
Claim Amazon SageMaker Debugger and update features and information
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Claim Polar Signals and update features and information