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Description
AWS ParallelCluster is a free, open-source tool designed for efficient management and deployment of High-Performance Computing (HPC) clusters within the AWS environment. It streamlines the configuration of essential components such as compute nodes, shared filesystems, and job schedulers, while accommodating various instance types and job submission queues. Users have the flexibility to engage with ParallelCluster using a graphical user interface, command-line interface, or API, which allows for customizable cluster setups and oversight. The tool also works seamlessly with job schedulers like AWS Batch and Slurm, making it easier to transition existing HPC workloads to the cloud with minimal adjustments. Users incur no additional costs for the tool itself, only paying for the AWS resources their applications utilize. With AWS ParallelCluster, users can effectively manage their computing needs through a straightforward text file that allows for the modeling, provisioning, and dynamic scaling of necessary resources in a secure and automated fashion. This ease of use significantly enhances productivity and optimizes resource allocation for various computational tasks.
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.
API Access
Has API
No
API Access
Has API
No
Integrations
GitHub
Yes
AWS Batch
Yes
AWS EC2 Trn3 Instances
Yes
AWS Elastic Fabric Adapter (EFA)
Yes
AWS HPC
Yes
AWS Lambda
Yes
AWS Parallel Computing Service
Yes
Amazon API Gateway
Yes
Amazon Elastic Container Registry (ECR)
No
Amazon Web Services (AWS)
Yes
Integrations
GitHub
Yes
AWS Batch
No
AWS EC2 Trn3 Instances
No
AWS Elastic Fabric Adapter (EFA)
No
AWS HPC
No
AWS Lambda
No
AWS Parallel Computing Service
No
Amazon API Gateway
No
Amazon Elastic Container Registry (ECR)
Yes
Amazon Web Services (AWS)
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
€0
Pricing varies depending on subscription type
Free Trial
No
Free Version
Yes
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
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/hpc/parallelcluster/
Vendor Details
Company Name
Edka
Founded
2013
Country
Spain
Website
edka.io
Product Features
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