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Average Ratings 0 Ratings

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features
design
support

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Description

With Amazon SageMaker Pipelines, you can effortlessly develop machine learning workflows using a user-friendly Python SDK, while also managing and visualizing your workflows in Amazon SageMaker Studio. By reusing and storing the steps you create within SageMaker Pipelines, you can enhance efficiency and accelerate scaling. Furthermore, built-in templates allow for rapid initiation, enabling you to build, test, register, and deploy models swiftly, thereby facilitating a CI/CD approach in your machine learning setup. Many users manage numerous workflows, often with various versions of the same model. The SageMaker Pipelines model registry provides a centralized repository to monitor these versions, simplifying the selection of the ideal model for deployment according to your organizational needs. Additionally, SageMaker Studio offers features to explore and discover models, and you can also access them via the SageMaker Python SDK, ensuring versatility in model management. This integration fosters a streamlined process for iterating on models and experimenting with new techniques, ultimately driving innovation in your machine learning projects.

Description

We instill trust and integrity throughout the software development life cycle by offering comprehensive, cryptographically verifiable tracking and provenance for all artifacts, actions, and dependencies, seamlessly and at scale. Our solution leverages the open-source immudb to provide a high-speed, immutable storage option. It integrates effortlessly with your current programming languages and CI/CD processes. With Codenotary Cloud, every company, developer, automation engineer, and DevOps professional can secure all phases of their CI/CD pipeline. Utilizing Codenotary Cloud® allows you to construct immutable, tamper-resistant solutions that satisfy auditor requirements as well as relevant regulations and laws. The Codenotary Trustcenter empowers any company, developer, automation engineer, or DevOps engineer to enhance the security of their CI/CD pipeline stages. Furthermore, the attestation process, which includes notarization and authentication of each step in the pipeline, along with the results from vulnerability scanners, is handled through a tamper-proof and immutable service, enabling compliance with Level 3 and 4 of the Supply-chain Levels for Software Artifacts (SLSA). This robust framework not only enhances security but also promotes accountability and transparency in the software development process.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker
Amazon Web Services (AWS)
CycloneDX
Docker
Git
GitHub
GitLab
Jenkins
Kubernetes
PowerShell
Travis CI

Integrations

Amazon SageMaker
Amazon Web Services (AWS)
CycloneDX
Docker
Git
GitHub
GitLab
Jenkins
Kubernetes
PowerShell
Travis CI

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

2006

Country

United States

Website

aws.amazon.com/sagemaker/pipelines/

Vendor Details

Company Name

Codenotary

Founded

2018

Country

United States

Website

codenotary.com

Product Features

Continuous Delivery

Application Lifecycle Management
Application Release Automation
Build Automation
Build Log
Change Management
Configuration Management
Continuous Deployment
Continuous Integration
Feature Toggles / Feature Flags
Quality Management
Testing Management

Continuous Integration

Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management

Machine Learning

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

Product Features

Continuous Delivery

Application Lifecycle Management
Application Release Automation
Build Automation
Build Log
Change Management
Configuration Management
Continuous Deployment
Continuous Integration
Feature Toggles / Feature Flags
Quality Management
Testing Management

Continuous Integration

Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management

Alternatives

Alternatives

Amazon SageMaker Ground Truth Reviews

Amazon SageMaker Ground Truth

Amazon Web Services