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Average Ratings 0 Ratings

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ease
features
design
support

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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 

Screenshots View All

Screenshots View All

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 
Docker No 
Google Cloud Artifact Registry No 
Hetzner No 
Python Yes 
Slurm 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 
Docker Yes 
Google Cloud Artifact Registry Yes 
Hetzner Yes 
Python No 
Slurm 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 

Alternatives

Alternatives

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TrinityX

Cluster Vision
Slurm Reviews

Slurm

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