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What is Edka?

Edka simplifies the creation of a fully operational Platform as a Service (PaaS) by utilizing standard cloud virtual machines and Kubernetes, dramatically reducing the manual effort required for application management on Kubernetes through its provision of preconfigured open-source add-ons that effectively convert a Kubernetes cluster into a robust PaaS environment. To optimize Kubernetes management, Edka structures its operations into several distinct layers: Layer 1: Cluster provisioning – An intuitive interface that enables users to create a k3s-based cluster with a single click and default configurations. Layer 2: Add-ons – A straightforward one-click deployment option for critical components such as metrics-server, cert-manager, and various operators, all preconfigured for compatibility with Hetzner, eliminating the need for further setup. Layer 3: Applications – User-friendly interfaces designed with minimal configurations specifically for applications that depend on the aforementioned add-ons. Layer 4: Deployments – Edka guarantees automatic updates to deployments in line with semantic versioning standards, providing features like instantaneous rollbacks, autoscaling, persistent volume management, secret/environment imports, and rapid public accessibility for applications. This organized approach not only enhances operational efficiency but also empowers developers to concentrate on application development rather than infrastructure management, ultimately fostering innovation and productivity.

What is BudgetML?

BudgetML provides an excellent option for practitioners who wish to quickly launch their models to an endpoint without the burden of extensive time, financial investment, or effort required to navigate the intricacies of complete deployment. The inspiration behind BudgetML arose from the challenges of locating an accessible and cost-effective approach for rapidly bringing a model into production. Using cloud functions can lead to issues with memory limitations and increased expenses when scaling, and Kubernetes clusters often introduce unnecessary complexity for the deployment of a single model. Starting from ground zero necessitates a grasp of various concepts like SSL certificate generation, Docker, REST APIs, Uvicorn/Gunicorn, and backend servers, which most data scientists may not be well-versed in. By addressing these challenges, BudgetML provides a solution that emphasizes speed, simplicity, and usability for developers. Although it may not cater to extensive production environments, BudgetML proves to be a valuable resource for quickly setting up a server at minimal expenses. In this way, BudgetML not only simplifies the deployment process but also allows data scientists to concentrate on refining their models rather than getting caught up in the complexities of deployment logistics. Ultimately, this makes BudgetML a practical choice for those looking to enhance their workflow and efficiency in model deployment.

Media

Media

Integrations Supported

Docker
APIFuzzer
Amazon Elastic Container Registry (ECR)
FastAPI
GitHub
Google Cloud Artifact Registry
Google Cloud Platform
Gunicorn
Hetzner
Kubernetes
OAuth
Swagger
ZenML

Integrations Supported

Docker
APIFuzzer
Amazon Elastic Container Registry (ECR)
FastAPI
GitHub
Google Cloud Artifact Registry
Google Cloud Platform
Gunicorn
Hetzner
Kubernetes
OAuth
Swagger
ZenML

API Availability

Has API

API Availability

Has API

Pricing Information

€0
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Edka

Date Founded

2013

Company Location

Spain

Company Website

edka.io

Company Facts

Organization Name

ebhy

Company Website

github.com/ebhy/budgetml

Categories and Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Categories and Features

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