Alternatives to Kocho logo

Alternatives to Kocho

Apache Mesos, Nomad, DC/OS, YARN Hadoop, and Mesosphere are the most popular alternatives and competitors to Kocho.
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What is Kocho and what are its top alternatives?

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.
Kocho is a tool in the Cluster Management category of a tech stack.
Kocho is an open source tool with 69 GitHub stars and 2 GitHub forks. Here’s a link to Kocho's open source repository on GitHub

Top Alternatives to Kocho

  • Apache Mesos

    Apache Mesos

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

  • Nomad

    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

    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

    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). ...

  • Mesosphere

    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. ...

  • kops

    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

    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. ...

  • Gardener

    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. ...

Kocho alternatives & related posts

Apache Mesos logo

Apache Mesos

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Develop and run resource-efficient distributed systems
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PROS OF APACHE MESOS
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    Easy scaling
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    Web UI
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    Fault-Tolerant
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    Elastic Distributed System
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    High-Available
CONS OF APACHE MESOS
  • 1
    Not for long term
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    Depends on Zookeeper

related Apache Mesos posts

Docker containers on Mesos run their microservices with consistent configurations at scale, along with Aurora for long-running services and cron jobs.

See more
Nomad logo

Nomad

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A cluster manager and scheduler
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PROS OF NOMAD
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    Built in Consul integration
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    Easy setup
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    Bult-in Vault integration
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    Built-in federation support
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    Autoscaling support
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    Self-healing
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    Nice ACL
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    Managable by terraform
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    Open source
  • 1
    Simple
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    Flexible
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    Multiple workload support
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    Bult-in Vault inegration
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    Stable
CONS OF NOMAD
  • 3
    Easy to start with
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    HCL language for configuration, an unpopular DSL
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    Small comunity

related Nomad posts

Robert Zuber

Our backend consists of two major pools of machines. One pool hosts the systems that run our site, manage jobs, and send notifications. These services are deployed within Docker containers orchestrated in Kubernetes. Due to Kubernetes’ ecosystem and toolchain, it was an obvious choice for our fairly statically-defined processes: the rate of change of job types or how many we may need in our internal stack is relatively low.

The other pool of machines is for running our users’ jobs. Because we cannot dynamically predict demand, what types of jobs our users need to have run, nor the resources required for each of those jobs, we found that Nomad excelled over Kubernetes in this area.

We’re also using Helm to make it easier to deploy new services into Kubernetes. We create a chart (i.e. package) for each service. This lets us easily roll back new software and gives us an audit trail of what was installed or upgraded.

See more
DC/OS logo

DC/OS

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The Datacenter Operating System. The easiest way to run microservices, big data, and containers in production.
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PROS OF DC/OS
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    Easy to setup a HA cluster
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    Open source
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    Has templates to install via AWS and Azure
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    Easy Setup
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    Easy to get services running and operate them
CONS OF DC/OS
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    related DC/OS posts

    YARN Hadoop logo

    YARN Hadoop

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    Resource management and job scheduling technology
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    PROS OF YARN HADOOP
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      Batch processing with commodity machine
    CONS OF YARN HADOOP
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      related YARN Hadoop posts

      Mesosphere logo

      Mesosphere

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      Combine your datacenter servers and cloud instances into one shared pool
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      PROS OF MESOSPHERE
      • 6
        Devops
      CONS OF MESOSPHERE
        Be the first to leave a con

        related Mesosphere posts

        kops logo

        kops

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        Production Grade K8s Installation, Upgrades, and Management
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        PROS OF KOPS
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          CONS OF KOPS
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            related kops posts

            Apache Aurora logo

            Apache Aurora

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            An Apcahe Mesos framework for scheduling jobs, originally developed by Twitter
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            PROS OF APACHE AURORA
              Be the first to leave a pro
              CONS OF APACHE AURORA
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                related Apache Aurora posts

                Docker containers on Mesos run their microservices with consistent configurations at scale, along with Aurora for long-running services and cron jobs.

                See more
                Gardener logo

                Gardener

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                Manage Kubernetes clusters across multiple cloud providers
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                PROS OF GARDENER
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                  It works across clouds and on-prem
                CONS OF GARDENER
                  Be the first to leave a con

                  related Gardener posts