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Apache Aurora

62
82
+ 1
0
Nomad

209
280
+ 1
29
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Apache Aurora vs Nomad: 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; Nomad: A cluster manager and scheduler. 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.

Apache Aurora and Nomad can be primarily classified as "Cluster Management" tools.

Apache Aurora and Nomad are both open source tools. Nomad with 4.93K GitHub stars and 893 forks on GitHub appears to be more popular than Apache Aurora with 615 GitHub stars and 231 GitHub forks.

CircleCI, LendUp, and Wealthsimple are some of the popular companies that use Nomad, whereas Apache Aurora is used by Twitter, Oscar Health, and Chartbeat. Nomad has a broader approval, being mentioned in 21 company stacks & 3 developers stacks; compared to Apache Aurora, which is listed in 6 company stacks and 3 developer stacks.

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Pros of Apache Aurora
Pros of Nomad
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    • 6
      Built in Consul integration
    • 5
      Easy setup
    • 4
      Bult-in Vault integration
    • 3
      Built-in federation support
    • 2
      Self-healing
    • 1
      Simple
    • 1
      Autoscaling support
    • 1
      Nice ACL
    • 1
      Managable by terraform
    • 1
      Open source
    • 1
      Flexible
    • 1
      Stable
    • 1
      Multiple workload support
    • 1
      Bult-in Vault inegration

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    Cons of Apache Aurora
    Cons of Nomad
      Be the first to leave a con
      • 3
        Easy to start with
      • 1
        HCL language for configuration, an unpopular DSL
      • 1
        Small comunity

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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 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.

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      What companies use Apache Aurora?
      What companies use Nomad?
      See which teams inside your own company are using Apache Aurora or Nomad.
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      What tools integrate with Apache Aurora?
      What tools integrate with Nomad?

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      What are some alternatives to Apache Aurora and Nomad?
      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.
      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).
      See all alternatives