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

  • Fraud.net Reviews & Ratings
    56 Ratings
    Company Website
  • Qloo Reviews & Ratings
    23 Ratings
    Company Website
  • RunPod Reviews & Ratings
    124 Ratings
    Company Website
  • Vertex AI Reviews & Ratings
    677 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    4 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    1,731 Ratings
    Company Website
  • Snowflake Reviews & Ratings
    1,394 Ratings
    Company Website
  • BytePlus Recommend Reviews & Ratings
    1 Rating
    Company Website
  • Google Cloud Speech-to-Text Reviews & Ratings
    374 Ratings
    Company Website
  • Sage Intacct Reviews & Ratings
    7,350 Ratings
    Company Website

What is Amazon SageMaker Model Monitor?

Amazon SageMaker Model Monitor allows users to select particular data for oversight and examination without requiring any coding skills. It offers a range of features, including the ability to monitor prediction outputs, while also gathering critical metadata such as timestamps, model identifiers, and endpoints, thereby simplifying the evaluation of model predictions in conjunction with this metadata. For scenarios involving a high volume of real-time predictions, users can specify a sampling rate that reflects a percentage of the overall traffic, with all captured data securely stored in a designated Amazon S3 bucket. Additionally, there is an option to encrypt this data and implement comprehensive security configurations, which include data retention policies and measures for access control to ensure that access remains secure. To further bolster analysis capabilities, Amazon SageMaker Model Monitor incorporates built-in statistical rules designed to detect data drift and evaluate model performance effectively. Users also have the ability to create custom rules and define specific thresholds for each rule, which provides a personalized monitoring experience that meets individual needs. With its extensive flexibility and robust security features, SageMaker Model Monitor stands out as an essential tool for preserving the integrity and effectiveness of machine learning models, making it invaluable for data-driven decision-making processes.

What is Amazon S3 Express One Zone?

Amazon S3 Express One Zone is engineered for optimal performance within a single Availability Zone, specifically designed to deliver swift access to frequently accessed data and accommodate latency-sensitive applications with response times in the single-digit milliseconds range. This specialized storage class accelerates data retrieval speeds by up to tenfold and can cut request costs by as much as 50% when compared to the standard S3 tier. By enabling users to select a specific AWS Availability Zone for their data, S3 Express One Zone fosters the co-location of storage and compute resources, which can enhance performance and lower computing costs, thereby expediting workload execution. The data is structured in a unique S3 directory bucket format, capable of managing hundreds of thousands of requests per second efficiently. Furthermore, S3 Express One Zone integrates effortlessly with a variety of services, such as Amazon SageMaker Model Training, Amazon Athena, Amazon EMR, and AWS Glue Data Catalog, thereby streamlining machine learning and analytical workflows. This innovative storage solution not only satisfies the requirements of high-performance applications but also improves operational efficiency by simplifying data access and processing, making it a valuable asset for businesses aiming to optimize their cloud infrastructure. Additionally, its ability to provide quick scalability further enhances its appeal to companies with fluctuating data needs.

Media

Media

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
AWS Glue
Amazon Athena
Amazon EC2
Amazon EKS
Amazon EMR
Amazon S3
PyTorch

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
AWS Glue
Amazon Athena
Amazon EC2
Amazon EKS
Amazon EMR
Amazon S3
PyTorch

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

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/sagemaker/model-monitor/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/s3/storage-classes/express-one-zone/

Categories and Features

Machine Learning

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

Categories and Features

Popular Alternatives

Popular Alternatives

Cloudflare R2 Reviews & Ratings

Cloudflare R2

Cloudflare