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What is JARVICE XE?

JARVICE acts as the foundational framework for the Nimbix Cloud, crafted to address the demands of modern high-performance workflows. It delivers outstanding performance, versatility, and ease of use across a range of applications, such as simulation, cognitive tasks, and life sciences. By leveraging Nimbix’s innovative and patented Reconfigurable Cloud Computing, JARVICE accelerates code execution by running containers directly on bare metal hardware, effectively bypassing the "hypervisor tax" often encountered with many public cloud and data center configurations. This pioneering method facilitates seamless access to all computing resources, including processors, memory, interconnects, and accelerators, without the need for complicated passthrough or paravirtualization techniques. Applications operate on sophisticated bare metal systems in alignment with their design, ensuring optimal performance without any disruptions. Moreover, JARVICE streamlines intricate workflows through its Software-as-a-Service (SaaS) model, providing a simpler alternative to the frequently complex Infrastructure-as-a-Service (IaaS) options that are generally available. This user-centric approach not only enhances the overall experience but also fosters increased productivity in various sectors, making it an attractive choice for organizations looking to optimize their computing resources. As a result, JARVICE stands out as a powerful solution capable of transforming how high-performance tasks are executed in the cloud.

What is Contrail Insights?

Contrail Insights equips operators with tools to oversee and visualize how workloads utilize infrastructure resources, while also aiding in capacity planning to uphold application performance. By utilizing Contrail Insights, software-defined data center operators gain a robust suite of tools that improve their visibility into both operational performance and resource allocation. In the realm of expansive multicloud networks, it is crucial for operations teams to access real-time and historical data regarding their infrastructure to ensure the reliability of services and minimize operational costs. Cloud infrastructure is often organized in various abstraction layers, and as operational automation increases, performance monitoring transitions to become the central focus, moving away from manual tasks. However, as the influx of telemetry data grows and abstraction layers are scrutinized to resolve issues within network infrastructure, the complexity of monitoring intensifies, presenting fresh challenges for operators. This transformation calls for a more advanced method of data analysis to adeptly navigate the intricate landscape of cloud resources, enhancing overall operational efficiency in the process. Ultimately, embracing these sophisticated analytical strategies is vital for maintaining a competitive edge in the evolving cloud environment.

Media

Media

Integrations Supported

Integrations Supported

Safenet MobilePASS

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

Atos

Company Location

United States

Company Website

atos.net/en/solutions/high-performance-computing-hpc/jarvicexe

Company Facts

Organization Name

Juniper Networks

Date Founded

1996

Company Location

United States

Company Website

www.juniper.net/documentation/product/us/en/contrail-insights/

Categories and Features

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Categories and Features

Cloud Management

Capacity Analytics
Demand Monitoring
Performance Analytics
Supply Monitoring

Container Management

Not specified

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