Gardener vs Apache Mesos vs Mesosphere

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Apache Mesos

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Pros of Gardener
Pros of Apache Mesos
Pros of Mesosphere
  • 2
    It works across clouds and on-prem
  • 20
    Easy scaling
  • 6
    Web UI
  • 2
  • 1
    Elastic Distributed System
  • 1
  • 6

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Cons of Gardener
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 Gardener?

      Many Open Source tools exist which help in creating and updating single Kubernetes clusters. However, the more clusters you need the harder it becomes to operate, monitor, manage and keep all of them alive and up-to-date. And that is exactly what project Gardener focuses on.

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

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        What are some alternatives to Gardener, Apache Mesos, and Mesosphere?
        Create, deploy, and maintain next-generation AWS cloud function-based serverless infrastructure with full local, offline workflows, and more.
        Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.
        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.
        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).
        See all alternatives