Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
Yes
Integrations
Amazon SageMaker
Yes
Amazon Web Services (AWS)
Yes
CycloneDX
No
Docker
No
Git
No
GitHub
No
GitLab
No
Jenkins
No
Kubernetes
No
PowerShell
No
Integrations
Amazon SageMaker
No
Amazon Web Services (AWS)
No
CycloneDX
Yes
Docker
Yes
Git
Yes
GitHub
Yes
GitLab
Yes
Jenkins
Yes
Kubernetes
Yes
PowerShell
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
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
No
Application Release Automation
No
Build Automation
No
Build Log
No
Change Management
No
Configuration Management
No
Continuous Deployment
No
Continuous Integration
No
Feature Toggles / Feature Flags
No
Quality Management
No
Testing Management
No
Continuous Integration
Build Log
No
Change Management
No
Configuration Management
No
Continuous Delivery
No
Continuous Deployment
No
Debugging
No
Permission Management
No
Quality Assurance Management
No
Testing Management
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Continuous Delivery
Application Lifecycle Management
No
Application Release Automation
No
Build Automation
No
Build Log
No
Change Management
No
Configuration Management
No
Continuous Deployment
No
Continuous Integration
No
Feature Toggles / Feature Flags
No
Quality Management
No
Testing Management
No
Continuous Integration
Build Log
No
Change Management
No
Configuration Management
No
Continuous Delivery
No
Continuous Deployment
No
Debugging
No
Permission Management
No
Quality Assurance Management
No
Testing Management
No