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
Select the tools that best suit your needs, and we will handle everything else. Create an ideal CI/CD stack tailored to your organization's objectives without the worry of vendor lock-in. By eliminating the need for manual scripts and complex toolchain automation, your engineers can concentrate on your main business activities. Our pipeline workflows utilize a declarative approach, allowing you to prioritize essential tasks over the methods used to achieve them, covering aspects such as software builds, security assessments, unit testing, and deployment processes. With the help of Blueprints, you can troubleshoot any issues directly within Opsera, thanks to a detailed console output for each step of your pipeline's execution. Gain a holistic view of your CI/CD journey with extensive software delivery analytics, tracking metrics like Lead Time, Change Failure Rate, Deployment Frequency, and Time to Restore. Additionally, benefit from contextualized logs that facilitate quicker resolutions while enhancing auditing and compliance measures, ensuring that your operations remain efficient and transparent. This streamlined approach not only promotes better productivity but also empowers teams to innovate more freely.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Anchore
No
CircleCI
No
CodeQL
No
Confluence
No
Datadog
No
Docker
No
Dynatrace
No
Fluentd
No
GitLab
No
Integrations
Amazon Web Services (AWS)
Yes
Anchore
Yes
CircleCI
Yes
CodeQL
Yes
Confluence
Yes
Datadog
Yes
Docker
Yes
Dynatrace
Yes
Fluentd
Yes
GitLab
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$3.60 per user , Min 300 devs
Insights $3.60 per user for Devex and AI coding assistants
Platform cost by number of pipelines
Platform cost by number of pipelines
Free Trial
Yes
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
Yes
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
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
2006
Country
United States
Website
aws.amazon.com/sagemaker/pipelines/
Vendor Details
Company Name
Opsera
Founded
2020
Country
United States
Website
www.opsera.ai/
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
Build Automation
Automated Testing
Yes
Build Cache
Yes
Build Management Tools
Yes
Build Metrics
No
Change Only Compiling
Yes
Debugging Tools
Yes
Dependency Management
Yes
IDE Compatibility
Yes
Parallel Testing
Yes
Plugin Library
Yes
Source Code Management
Yes
Version Conflict Resolution
Yes
Configuration Management
Access Control / Permissions
Yes
Application Deployment
Yes
Automated Provisioning
Yes
Infrastructure Automation
Yes
Node Management
Yes
Orchestration
Yes
Reporting Analytics / Visualization
Yes
Task Management
Yes
Continuous Delivery
Application Lifecycle Management
Yes
Application Release Automation
Yes
Build Automation
Yes
Build Log
Yes
Change Management
Yes
Configuration Management
Yes
Continuous Deployment
Yes
Continuous Integration
Yes
Feature Toggles / Feature Flags
Yes
Quality Management
Yes
Testing Management
Yes
Continuous Integration
Build Log
Yes
Change Management
Yes
Configuration Management
Yes
Continuous Delivery
Yes
Continuous Deployment
Yes
Debugging
Yes
Permission Management
Yes
Quality Assurance Management
Yes
Testing Management
Yes
DevOps
Approval Workflow
Yes
Dashboard
Yes
KPIs
Yes
Policy Management
Yes
Portfolio Management
No
Prioritization
Yes
Release Management
Yes
Timeline Management
Yes
Troubleshooting Reports
Yes