Elastic Apache Mesos vs Mesosphere

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Elastic Apache Mesos

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Mesosphere

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Elastic Apache Mesos vs Mesosphere: What are the differences?

Developers describe Elastic Apache Mesos as "Automated creation of Apache Mesos clusters on Amazon EC2". Elastic Apache Mesos is a web service that automates the creation of Apache Mesos clusters on Amazon Elastic Compute Cloud (EC2). It provisions EC2 instances, installs dependencies including Apache ZooKeeper and HDFS, and delivers you a cluster with all the services running. On the other hand, Mesosphere is detailed as "Combine your datacenter servers and cloud instances into one shared pool". Mesosphere offers a layer of software that organizes your machines, VMs, and cloud instances and lets applications draw from a single pool of intelligently- and dynamically-allocated resources, increasing efficiency and reducing operational complexity.

Elastic Apache Mesos and Mesosphere can be categorized as "Cluster Management" tools.

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    What is Elastic Apache Mesos?

    Elastic Apache Mesos is a web service that automates the creation of Apache Mesos clusters on Amazon Elastic Compute Cloud (EC2). It provisions EC2 instances, installs dependencies including Apache ZooKeeper and HDFS, and delivers you a cluster with all the services running.

    What is Mesosphere?

    Mesosphere offers a layer of software that organizes your machines, VMs, and cloud instances and lets applications draw from a single pool of intelligently- and dynamically-allocated resources, increasing efficiency and reducing operational complexity.

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    What tools integrate with Elastic Apache Mesos?
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      What are some alternatives to Elastic Apache Mesos and Mesosphere?
      Apache Mesos
      Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.
      Nomad
      Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.
      YARN Hadoop
      Its fundamental idea is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM).
      DC/OS
      Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.
      kops
      It helps you create, destroy, upgrade and maintain production-grade, highly available, Kubernetes clusters from the command line. AWS (Amazon Web Services) is currently officially supported, with GCE in beta support , and VMware vSphere in alpha, and other platforms planned.
      See all alternatives