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Average Ratings 0 Ratings

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ease
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

OES boasts high availability and scalability, making it suitable for managing growing deployment workloads, while also being adaptable enough to work seamlessly with various SDLC tool chains. It provides a user-friendly interface for defining custom stages that allow for simultaneous deployments across multiple targets, significantly reducing time spent on deployment. Actions such as rolling back, moving forward, or halting all parallel deployments can be performed effortlessly with just a click. Additionally, the platform enables automation of repetitive tasks within the SDLC process by allowing the creation of numerous child pipelines that can be triggered from a parent pipeline. With its modular design and API-based architecture, OES functions effectively as a central Continuous Delivery (CD) tool for numerous enterprises. This flexibility allows developers on different teams to easily connect external services with Spinnaker for streamlined deployment orchestration, enhancing overall productivity and collaboration. As a result, OES stands out as a powerful solution for optimizing deployment processes across various environments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Amazon SageMaker
Apache Maven
Apache Mesos
Aqua
Argo CD
Datadog
GitLab
Gradle
HashiCorp Vault
Jira
Kubernetes
Okta
OpenStack
Oracle Cloud Infrastructure
PagerDuty
Red Hat OpenShift
Selenium
ServiceNow
SonarQube Server

Integrations

Amazon Web Services (AWS)
Amazon SageMaker
Apache Maven
Apache Mesos
Aqua
Argo CD
Datadog
GitLab
Gradle
HashiCorp Vault
Jira
Kubernetes
Okta
OpenStack
Oracle Cloud Infrastructure
PagerDuty
Red Hat OpenShift
Selenium
ServiceNow
SonarQube Server

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

OpsMx

Founded

2017

Country

United States

Website

www.opsmx.com/opsmx-enterprise-spinnaker/scalable-and-extensible/

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

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Continuous Integration

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

Alternatives

Alternatives

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HCL Launch

HCL Technologies
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Amazon SageMaker Ground Truth

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