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Apache Aurora

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Kocho

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Apache Aurora vs Kocho: What are the differences?

Apache Aurora: An Apcahe Mesos framework for scheduling jobs, originally developed by Twitter. 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; Kocho: Bootstrapping Tool for CoreOS Clusters on AWS. 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.

Apache Aurora and Kocho belong to "Cluster Management" category of the tech stack.

Apache Aurora and Kocho are both open source tools. It seems that Apache Aurora with 615 GitHub stars and 231 forks on GitHub has more adoption than Kocho with 73 GitHub stars and 3 GitHub forks.

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What is 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.

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.

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    What are some alternatives to Apache Aurora and Kocho?
    Kubernetes
    Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
    Marathon
    Marathon is an Apache Mesos framework for container orchestration. Marathon provides a REST API for starting, stopping, and scaling applications. Marathon is written in Scala and can run in highly-available mode by running multiple copies. The state of running tasks gets stored in the Mesos state abstraction.
    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).
    See all alternatives