Kocho vs Apache Mesos vs Mesosphere

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Kocho

1
6
+ 1
0
Apache Mesos

282
371
+ 1
30
Mesosphere

79
102
+ 1
6
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Pros of Kocho
Pros of Apache Mesos
Pros of Mesosphere
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    • 20
      Easy scaling
    • 6
      Web UI
    • 2
      Fault-Tolerant
    • 1
      Elastic Distributed System
    • 1
      High-Available
    • 6
      Devops

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    Cons of Kocho
    Cons of Apache Mesos
    Cons of Mesosphere
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      • 1
        Not for long term
      • 1
        Depends on Zookeeper
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        - No public GitHub repository available -

        What is Kocho?

        Kocho provides a set of mechanisms to bootstrap AWS nodes that must follow a specific configuration with CoreOS. It sets up fleet meta-data, and patched versions of fleet, etcd, and docker when using Yochu.

        What is Apache Mesos?

        Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

        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 companies use Kocho?
        What companies use Apache Mesos?
        What companies use Mesosphere?
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          What tools integrate with Kocho?
          What tools integrate with Apache Mesos?
          What tools integrate with Mesosphere?

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          Blog Posts

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          1494
          What are some alternatives to Kocho, Apache Mesos, and Mesosphere?
          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.
          DC/OS
          Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed 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).
          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.
          Apache Aurora
          Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
          See all alternatives