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Description
Design, oversee, operate, and enhance high-performance computing (HPC) and large-scale compute clusters seamlessly. Implement comprehensive clusters and additional resources, encompassing task schedulers, computational virtual machines, storage solutions, networking capabilities, and caching systems. Tailor and refine clusters with sophisticated policy and governance tools, which include cost management, integration with Active Directory, as well as monitoring and reporting functionalities. Utilize your existing job scheduler and applications without any necessary changes. Empower administrators with complete authority over job execution permissions for users, in addition to determining the locations and associated costs for running jobs. Benefit from integrated autoscaling and proven reference architectures suitable for diverse HPC workloads across various sectors. CycleCloud accommodates any job scheduler or software environment, whether it's proprietary, in-house solutions or open-source, third-party, and commercial software. As your requirements for resources shift and grow, your cluster must adapt accordingly. With scheduler-aware autoscaling, you can ensure that your resources align perfectly with your workload needs while remaining flexible to future changes. This adaptability is crucial for maintaining efficiency and performance in a rapidly evolving technological landscape.
Description
Karpenter streamlines Kubernetes infrastructure by ensuring that the optimal nodes are provisioned precisely when needed. As an open-source and high-performance autoscaler for Kubernetes clusters, Karpenter automates the deployment of necessary compute resources to support applications efficiently. It is crafted to maximize the advantages of cloud computing, facilitating rapid and seamless compute provisioning within Kubernetes environments. By promptly adjusting to fluctuations in application demand, scheduling, and resource needs, Karpenter boosts application availability by adeptly allocating new workloads across a diverse range of computing resources. Additionally, it identifies and eliminates underutilized nodes, swaps out expensive nodes for cost-effective options, and consolidates workloads on more efficient resources, ultimately leading to significant reductions in cluster compute expenses. This innovative approach not only enhances resource management but also contributes to overall operational efficiency within cloud environments.
API Access
Has API
No
API Access
Has API
No
Integrations
Azure Information Protection
Yes
Azure Marketplace
Yes
Beats
Yes
Kubernetes
No
Sedai
No
StormForge
No
Y42
Yes
Integrations
Azure Information Protection
No
Azure Marketplace
No
Beats
No
Kubernetes
Yes
Sedai
Yes
StormForge
Yes
Y42
No
Pricing Details
$0.01 per hour
1 GB, 1 hour
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
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)
No
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)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/features/azure-cyclecloud/
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
karpenter.sh/
Product Features
Product Features
Container Management
Access Control
No
Application Development
No
Automatic Scaling
No
Build Automation
No
Container Health Management
No
Container Storage
No
Deployment Automation
No
File Isolation
No
Hybrid Deployments
No
Network Isolation
No
Orchestration
No
Shared File Systems
No
Version Control
No
Virtualization
No
