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Description
Skaffold is a command-line tool that is open source and enhances the development process for applications running on Kubernetes. By automating the building, pushing, and deployment phases, it enables developers to concentrate more on coding rather than managing these tasks. The tool accommodates a variety of technologies and tools, offering users the freedom to select their preferred methods for building and deploying applications. Its pluggable architecture allows for seamless integration with different build and deploy implementations, making it versatile for various workflows. Operating solely on the client side, Skaffold remains lightweight, ensuring that it does not impose additional overhead or maintenance responsibilities on Kubernetes clusters. It significantly speeds up local Kubernetes development by monitoring changes in source code and automatically managing the pipeline for building, pushing, testing, and deploying applications. Furthermore, Skaffold offers continuous feedback through its management of deployment logs and resource port-forwarding, enhancing the development experience. With context-aware features, it supports the use of profiles and local user configurations, adapting to the needs of individual developers and teams. This flexibility makes Skaffold a valuable tool in the Kubernetes ecosystem, catering to a diverse range of development scenarios.
Description
Models may be fleeting, but pipelines have a lasting presence. The cycle of training, evaluating, deploying, and repeating is essential. Valohai stands out as the sole MLOps platform that fully automates the entire process, from data extraction right through to model deployment. Streamline every aspect of this journey, ensuring that every model, experiment, and artifact is stored automatically. You can deploy and oversee models within a managed Kubernetes environment. Simply direct Valohai to your code and data, then initiate the process with a click. The platform autonomously launches workers, executes your experiments, and subsequently shuts down the instances, relieving you of those tasks. You can work seamlessly through notebooks, scripts, or collaborative git projects using any programming language or framework you prefer. The possibilities for expansion are limitless, thanks to our open API. Each experiment is tracked automatically, allowing for easy tracing from inference back to the original data used for training, ensuring full auditability and shareability of your work. This makes it easier than ever to collaborate and innovate effectively.
API Access
Has API
API Access
Has API
Integrations
Google Cloud Deploy
Kubernetes
Microsoft Azure
Visual Studio Code
WEKA
Integrations
Google Cloud Deploy
Kubernetes
Microsoft Azure
Visual Studio Code
WEKA
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$560 per month
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
Skaffold
Country
United States
Website
skaffold.dev/
Vendor Details
Company Name
Valohai
Founded
2016
Country
Finland
Website
valohai.com
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
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
