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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
Flux is an open and extensible suite of continuous and progressive delivery solutions designed for Kubernetes. The newest iteration of Flux introduces numerous enhancements that increase its flexibility and adaptability. As a project incubated by the CNCF, Flux, along with Flagger, facilitates application deployments utilizing strategies such as canaries, feature flags, and A/B rollouts. It possesses the capability to manage any Kubernetes resource seamlessly. Built-in features allow for effective infrastructure and workload dependency management. Through automatic reconciliation, Flux enables continuous deployment (CD) and, with Flagger's assistance, supports progressive delivery (PD). Additionally, Flux can automate updates by pushing changes back to Git, including container image updates through image scanning and patching processes. It integrates smoothly with various Git providers, including GitHub, GitLab, and Bitbucket, and can also utilize s3-compatible buckets as a source. Furthermore, it is compatible with all major container registries and CI workflow providers. With support for Kustomize, Helm, RBAC, and policy-driven validation mechanisms such as OPA, Kyverno, and admission controllers, Flux ensures that deployment processes are streamlined and efficient. This combination of features not only simplifies management but also enhances operational reliability in Kubernetes environments.
API Access
Has API
API Access
Has API
Integrations
Appvia Wayfinder
Bitbucket
Chatbot Arena
Contour
Git
GitHub
GitLab
Gloo Gateway
Helm
Istio
Integrations
Appvia Wayfinder
Bitbucket
Chatbot Arena
Contour
Git
GitHub
GitLab
Gloo Gateway
Helm
Istio
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
Flux CD
Country
United States
Website
fluxcd.io
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
