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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.

What is AWS ParallelCluster?

AWS ParallelCluster is a free and open-source utility that simplifies the management of clusters, facilitating the setup and supervision of High-Performance Computing (HPC) clusters within the AWS ecosystem. This tool automates the installation of essential elements such as compute nodes, shared filesystems, and job schedulers, while supporting a variety of instance types and job submission queues. Users can interact with ParallelCluster through several interfaces, including a graphical user interface, command-line interface, or API, enabling flexible configuration and administration of clusters. Moreover, it integrates effortlessly with job schedulers like AWS Batch and Slurm, allowing for a smooth transition of existing HPC workloads to the cloud with minimal adjustments required. Since there are no additional costs for the tool itself, users are charged solely for the AWS resources consumed by their applications. AWS ParallelCluster not only allows users to model, provision, and dynamically manage the resources needed for their applications using a simple text file, but it also enhances automation and security. This adaptability streamlines operations and improves resource allocation, making it an essential tool for researchers and organizations aiming to utilize cloud computing for their HPC requirements. Furthermore, the ease of use and powerful features make AWS ParallelCluster an attractive option for those looking to optimize their high-performance computing workflows.

Media

Media

Integrations Supported

Apache Aurora
Apache Flink
Apache OpenWhisk
Apache Spark
Docker
MLlib
Marathon
Netdata
OpsMx Enterprise for Spinnaker
Pliant
Riak TS
Tungsten Fabric
witboost

Integrations Supported

AWS EC2 Trn3 Instances
AWS Elastic Fabric Adapter (EFA)
AWS HPC
AWS Lambda
GitHub
Python
Slurm

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

mesos.apache.org

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/hpc/parallelcluster/

Categories and Features

Cloud Management

Not specified

Cluster Management

Not specified

Container Engines

Not specified

Container Management

Not specified

Categories and Features

Cluster Management

Not specified

HPC

Not specified

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