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features
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support

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Description

A growing number of companies are shifting their operations to cloud platforms to enhance their digital transformation efforts. This transition necessitates a novel security solution that offers centralized oversight and administration for workloads within these cloud environments. AhnLab CPP serves as a cohesive cloud workload protection platform that emphasizes delivering tailored security, streamlined management, and adaptability for workloads across hybrid settings. It ensures extensive visibility and straightforward management for workloads operating on both on-premise and cloud servers, including AWS and Azure environments. The platform facilitates effortless operation through a single web-based management interface. With its modular CPP management, it allows for flexible configurations based on specific business needs. Additionally, it helps reduce costs by permitting targeted installation and utilization of security solutions. Moreover, it offers real-time malware scanning capabilities for both Windows and Linux servers while maintaining minimal resource and performance impact, ensuring that businesses can operate efficiently in a secure environment. Ultimately, AhnLab CPP represents a critical tool for organizations striving to safeguard their cloud workloads while embracing the advantages of digital innovation.

Description

Altair® Grid Engine stands out as a premier distributed resource management system that effectively streamlines workloads and resource allocation across numerous data centers, significantly boosting performance, productivity, and overall efficiency. By optimizing application throughput and resource performance, it enables organizations to enhance their return on investment and achieve results more swiftly, all while maximizing the use of shared computing resources across on-premises, hybrid, and cloud environments. Among its notable features is advanced GPU support, which ensures optimal utilization of GPU resources both locally and in cloud settings, along with cloud-optimized capabilities that facilitate seamless deployment and scaling of dedicated and hybrid high-performance computing clusters. The system is also recognized for its proven scalability, maintaining high performance even in clusters with over a million cores or virtual CPUs. Furthermore, Altair® Grid Engine provides robust monitoring and reporting tools that allow users to effectively track resource consumption, coupled with license-aware scheduling designed to efficiently manage and share costly application licenses, ensuring organizations can fully leverage their investments in technology. This comprehensive approach makes it an indispensable tool for organizations seeking to maximize their computational efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Microsoft Azure

Integrations

Amazon Web Services (AWS)
Microsoft Azure

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

AhnLab

Country

South Korea

Website

global.ahnlab.com/site/product/productSubDetail.do

Vendor Details

Company Name

Altair

Country

United States

Website

altair.com/grid-engine

Product Features

Cloud Workload Protection

Anomaly Detection
Asset Discovery
Cloud Gap Analysis
Cloud Registry
Data Loss Prevention (DLP)
Data Security
Governance
Logging & Reporting
Machine Learning
Security Audit
Workload Diversity

Alternatives

Alternatives

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