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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Mesos operates on principles similar to those of the Linux kernel, yet it functions at a different abstraction level. This Mesos kernel is deployed on each machine and offers APIs for managing resources and scheduling tasks for applications like Hadoop, Spark, Kafka, and Elasticsearch across entire cloud infrastructures and data centers. It includes native capabilities for launching containers using Docker and AppC images. Additionally, it allows both cloud-native and legacy applications to coexist within the same cluster through customizable scheduling policies. Developers can utilize HTTP APIs to create new distributed applications, manage the cluster, and carry out monitoring tasks. Furthermore, Mesos features an integrated Web UI that allows users to observe the cluster's status and navigate through container sandboxes efficiently. Overall, Mesos provides a versatile and powerful framework for managing diverse workloads in modern computing environments.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Aurora Yes 
Apache Flink Yes 
Apache OpenWhisk Yes 
Apache Spark Yes 
Azure Information Protection No 
Azure Marketplace No 
Beats No 
Docker Yes 
Fidelis Halo Yes 
Kapacitor Yes 
MLlib Yes 
Marathon Yes 
Netdata Yes 
OpsMx Enterprise for Spinnaker Yes 
Pliant Yes 
Riak TS Yes 
SolarWinds AppOptics Yes 
Tungsten Fabric Yes 
Y42 No 
witboost Yes 

Integrations

Apache Aurora No 
Apache Flink No 
Apache OpenWhisk No 
Apache Spark No 
Azure Information Protection Yes 
Azure Marketplace Yes 
Beats Yes 
Docker No 
Fidelis Halo No 
Kapacitor No 
MLlib No 
Marathon No 
Netdata No 
OpsMx Enterprise for Spinnaker No 
Pliant No 
Riak TS No 
SolarWinds AppOptics No 
Tungsten Fabric No 
Y42 Yes 
witboost No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

$0.01 per hour
1 GB, 1 hour
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
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

Apache Software Foundation

Founded

1999

Country

United States

Website

mesos.apache.org

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/features/azure-cyclecloud/

Product Features

Cloud Management

Access Control No 
Billing & Provisioning No 
Capacity Analytics No 
Cost Management No 
Demand Monitoring No 
Multi-Cloud Management No 
Performance Analytics No 
SLA Management No 
Supply Monitoring No 
Workflow Approval No 

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 

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