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What is Codenotary?

We build confidence and uphold integrity across the entire software development life cycle by providing thorough, cryptographically verifiable tracking and provenance for all artifacts, actions, and dependencies, efficiently and at scale. Our system utilizes the open-source immudb to deliver a rapid, immutable storage solution. It integrates smoothly with existing programming languages and CI/CD workflows. With Codenotary Cloud, every organization, developer, automation engineer, and DevOps professional can safeguard all stages of their CI/CD pipeline. Employing Codenotary Cloud® enables you to create immutable, tamper-resistant solutions that meet auditor criteria and adhere to relevant regulations and legal standards. The Codenotary Trustcenter empowers any organization, developer, automation engineer, or DevOps specialist to bolster the security of their CI/CD pipeline phases. Additionally, the attestation process—comprising notarization and validation of each step in the pipeline, alongside results from vulnerability assessments—is managed through a tamper-proof and immutable service, ensuring compliance with Levels 3 and 4 of the Supply-chain Levels for Software Artifacts (SLSA). This comprehensive framework not only fortifies security but also fosters accountability and transparency throughout the software development lifecycle. Moreover, it provides peace of mind to stakeholders by ensuring that all software components are trustworthy and can be traced back to their origins.

What is Amazon SageMaker Pipelines?

Amazon SageMaker Pipelines enables users to effortlessly create machine learning workflows using an intuitive Python SDK while also providing tools for managing and visualizing these workflows via Amazon SageMaker Studio. This platform enhances efficiency significantly by allowing users to store and reuse workflow components, which facilitates rapid scaling of tasks. Moreover, it includes a variety of built-in templates that help kickstart processes such as building, testing, registering, and deploying models, thus making it easier to adopt CI/CD practices within the machine learning landscape. Many users oversee multiple workflows that often include different versions of the same model, and the SageMaker Pipelines model registry serves as a centralized hub for tracking these versions, ensuring that the correct model can be selected for deployment based on specific business requirements. Additionally, SageMaker Studio enables seamless exploration and discovery of models, while users can leverage the SageMaker Python SDK to efficiently access these models, promoting collaboration and boosting productivity among teams. This holistic approach not only simplifies the workflow but also cultivates a flexible environment that accommodates the diverse needs of machine learning practitioners, making it a vital resource in their toolkit. It empowers users to focus on innovation and problem-solving rather than getting bogged down by the complexities of workflow management.

Media

Media

Integrations Supported

CycloneDX
Docker
Git
GitHub
GitLab
Jenkins
Kubernetes
PowerShell
Travis CI

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Codenotary

Date Founded

2018

Company Location

United States

Company Website

codenotary.com

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/sagemaker/pipelines/

Categories and Features

Continuous Delivery

Not specified

Categories and Features

Continuous Delivery

Not specified

Machine Learning

Not specified

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