Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • OpenMetal Reviews & Ratings
    39 Ratings
    Company Website
  • Birdeye Reviews & Ratings
    5,030 Ratings
    Company Website
  • JS7 JobScheduler Reviews & Ratings
    1 Rating
    Company Website
  • Greatmail Reviews & Ratings
    9 Ratings
    Company Website
  • Dragonfly Reviews & Ratings
    16 Ratings
    Company Website
  • CompUp Reviews & Ratings
    66 Ratings
    Company Website
  • ScalaHosting Reviews & Ratings
    2,332 Ratings
    Company Website
  • Clearooms Reviews & Ratings
    254 Ratings
    Company Website
  • RunPod Reviews & Ratings
    206 Ratings
    Company Website
  • Uptime.com Reviews & Ratings
    449 Ratings
    Company Website

What is TrinityX?

TrinityX is an open-source cluster management solution created by ClusterVision, designed to provide ongoing monitoring for High-Performance Computing (HPC) and Artificial Intelligence (AI) environments. It offers a reliable support system that complies with service level agreements (SLAs), allowing researchers to focus on their projects without the complexities of managing advanced technologies like Linux, SLURM, CUDA, InfiniBand, Lustre, and Open OnDemand. By featuring a user-friendly interface, TrinityX streamlines the cluster setup process, assisting users through each step to tailor clusters for a variety of uses, such as container orchestration, traditional HPC tasks, and InfiniBand/RDMA setups. The platform employs the BitTorrent protocol to enable rapid deployment of AI and HPC nodes, with configurations being achievable in just minutes. Furthermore, TrinityX includes a comprehensive dashboard that displays real-time data regarding cluster performance metrics, resource utilization, and workload distribution, enabling users to swiftly pinpoint potential problems and optimize resource allocation efficiently. This capability enhances teams' ability to make data-driven decisions, thereby boosting productivity and improving operational effectiveness within their computational frameworks. Ultimately, TrinityX stands out as a vital tool for researchers seeking to maximize their computational resources while minimizing management distractions.

What is Apache Mesos?

Mesos operates on principles akin to those of the Linux kernel; however, it does so at a higher abstraction level. Its kernel spans across all machines, enabling applications like Hadoop, Spark, Kafka, and Elasticsearch by providing APIs that oversee resource management and scheduling for entire data centers and cloud systems. Moreover, Mesos possesses native functionalities for launching containers with Docker and AppC images. This capability allows both cloud-native and legacy applications to coexist within a single cluster, while also supporting customizable scheduling policies tailored to specific needs. Users gain access to HTTP APIs that facilitate the development of new distributed applications, alongside tools dedicated to cluster management and monitoring. Additionally, the platform features a built-in Web UI, which empowers users to monitor the status of the cluster and browse through container sandboxes, improving overall operability and visibility. This comprehensive framework not only enhances user experience but also positions Mesos as a highly adaptable choice for efficiently managing intricate application deployments in diverse environments. Its design fosters scalability and flexibility, making it suitable for organizations of varying sizes and requirements.

Media

Media

Integrations Supported

Apache Aurora
Apache Flink
Apache OpenWhisk
Apache Spark
BitTorrent
Docker
Fidelis Halo
IBM Spectrum LSF Suites
Kapacitor
Kubernetes
Lustre
MLlib
Marathon
Netdata
OpsMx Enterprise for Spinnaker
Pliant
Riak TS
SolarWinds AppOptics
Tungsten Fabric
witboost

Integrations Supported

Apache Aurora
Apache Flink
Apache OpenWhisk
Apache Spark
BitTorrent
Docker
Fidelis Halo
IBM Spectrum LSF Suites
Kapacitor
Kubernetes
Lustre
MLlib
Marathon
Netdata
OpsMx Enterprise for Spinnaker
Pliant
Riak TS
SolarWinds AppOptics
Tungsten Fabric
witboost

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Cluster Vision

Company Location

Netherlands

Company Website

clustervision.com/trinityx-cluster-manager/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

mesos.apache.org

Categories and Features

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

Container Management

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

Popular Alternatives

Popular Alternatives

Swarm Reviews & Ratings

Swarm

Docker
Apache Hadoop YARN Reviews & Ratings

Apache Hadoop YARN

Apache Software Foundation
HPE Performance Cluster Manager Reviews & Ratings

HPE Performance Cluster Manager

Hewlett Packard Enterprise