Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • CloudZero Reviews & Ratings
    65 Ratings
    Company Website
  • FinOpsly Reviews & Ratings
    3 Ratings
    Company Website
  • Josys Reviews & Ratings
    245 Ratings
    Company Website
  • Cycloid Reviews & Ratings
    5 Ratings
    Company Website
  • Sage Intacct Reviews & Ratings
    8,335 Ratings
    Company Website
  • Dragonfly Reviews & Ratings
    16 Ratings
    Company Website
  • Gravity Software Reviews & Ratings
    45 Ratings
    Company Website
  • groundcover Reviews & Ratings
    32 Ratings
    Company Website
  • EZO AssetSonar Reviews & Ratings
    112 Ratings
    Company Website
  • Google Compute Engine Reviews & Ratings
    1,168 Ratings
    Company Website

What is Umbrelly Cloud?

Umbrelly Cloud is a platform focused on optimizing AWS usage to lower cloud costs significantly. By utilizing shared AWS plans, it can deliver savings of up to 25%, providing a competitive edge for its users. On average, customers experience cost reductions of about 19.3%, all while maintaining high performance and service quality. The automated optimization process employed by Umbrelly guarantees adherence to AWS Terms and Conditions, ensuring a smooth user experience. Moreover, Umbrelly Cloud not only facilitates substantial financial savings but also enhances resource utilization, leading to better financial predictability for businesses. This dual benefit makes it an appealing choice for organizations looking to optimize their cloud expenditures.

What is Amazon SageMaker Debugger?

Improve machine learning models by capturing real-time training metrics and initiating alerts for any detected anomalies. To reduce both training time and expenses, the training process can automatically stop once the desired accuracy is achieved. Additionally, it is crucial to continuously evaluate and oversee system resource utilization, generating alerts when any limitations are detected to enhance resource efficiency. With the use of Amazon SageMaker Debugger, the troubleshooting process during training can be significantly accelerated, turning what usually takes days into just a few minutes by automatically pinpointing and notifying users about prevalent training challenges, such as extreme gradient values. Alerts can be conveniently accessed through Amazon SageMaker Studio or configured via Amazon CloudWatch. Furthermore, the SageMaker Debugger SDK is specifically crafted to autonomously recognize new types of model-specific errors, encompassing issues related to data sampling, hyperparameter configurations, and values that surpass acceptable thresholds, thereby further strengthening the reliability of your machine learning models. This proactive methodology not only conserves time but also guarantees that your models consistently operate at peak performance levels, ultimately leading to better outcomes and improved overall efficiency.

Media

No images available

Media

Integrations Supported

AWS Lambda
Amazon SageMaker
Amazon Web Services (AWS)
Amazon CloudWatch
Amazon EC2
Amazon ElastiCache
Amazon Elastic Block Store (EBS)
Amazon OpenSearch Service
Amazon RDS
Amazon Redshift
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Change Healthcare Data & Analytics
Keras
MXNet
PyTorch
TensorFlow

Integrations Supported

AWS Lambda
Amazon SageMaker
Amazon Web Services (AWS)
Amazon CloudWatch
Amazon EC2
Amazon ElastiCache
Amazon Elastic Block Store (EBS)
Amazon OpenSearch Service
Amazon RDS
Amazon Redshift
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Change Healthcare Data & Analytics
Keras
MXNet
PyTorch
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Umbrelly.cloud

Date Founded

2022

Company Location

United States

Company Website

umbrelly.cloud/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/debugger/

Categories and Features

Cloud Cost Management

Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

Categories and Features

Machine Learning

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

Popular Alternatives

Popular Alternatives

CostSage Reviews & Ratings

CostSage

Vaival Technologies