Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Edka streamlines the establishment of a production-ready Platform as a Service (PaaS) using standard cloud virtual machines and Kubernetes, significantly minimizing the manual labor needed to manage applications on Kubernetes by offering preconfigured open-source add-ons that effectively transform a Kubernetes cluster into a comprehensive PaaS solution.
To enhance Kubernetes operations, Edka organizes them into distinct layers:
Layer 1: Cluster provisioning – A user-friendly interface that allows for the effortless creation of a k3s-based cluster with just one click and default settings.
Layer 2: Add-ons – A convenient one-click deployment option for essential components like metrics-server, cert-manager, and various operators, all preconfigured for use with Hetzner, requiring no additional setup.
Layer 3: Applications – User interfaces with minimal configurations tailored for applications that utilize the aforementioned add-ons.
Layer 4: Deployments – Edka ensures automatic updates to deployments in accordance with semantic versioning rules, offering features such as instant rollbacks, autoscaling capabilities, persistent volume management, secret/environment imports, and quick public accessibility for applications. Furthermore, this structure allows developers to focus on building their applications rather than managing the underlying infrastructure.
Description
You have the ability to deploy clusters as needed and automatically manage their scaling, allowing you to concentrate solely on processing, analyzing, and reporting big data. Leveraging years of experience in massively distributed computing, our operations team expertly handles the intricacies of cluster management. During peak demand, clusters can be automatically expanded to enhance computing power, while they can be contracted during quieter periods to minimize costs. A user-friendly management console is available to simplify tasks such as cluster oversight, template customization, task submissions, and monitoring of alerts. By integrating with the BCC, it enables businesses to focus on their core operations during busy times while assisting the BMR in processing big data during idle periods, ultimately leading to reduced overall IT costs. This seamless integration not only streamlines operations but also enhances efficiency across the board.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Elastic Container Registry (ECR)
Yes
Docker
Yes
GitHub
Yes
Google Cloud Artifact Registry
Yes
Hetzner
Yes
MLlib
No
Integrations
Amazon Elastic Container Registry (ECR)
No
Docker
No
GitHub
No
Google Cloud Artifact Registry
No
Hetzner
No
MLlib
Yes
Pricing Details
€0
Pricing varies depending on subscription type
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
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
No
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)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Edka
Founded
2013
Country
Spain
Website
edka.io
Vendor Details
Company Name
Baidu AI Cloud
Founded
2000
Country
China
Website
intl.cloud.baidu.com/product/bmr.html
Product Features
DevOps
Approval Workflow
No
Dashboard
Yes
KPIs
No
Policy Management
Yes
Portfolio Management
No
Prioritization
Yes
Release Management
Yes
Timeline Management
No
Troubleshooting Reports
No
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No