Alternatives to Peloton logo

Alternatives to Peloton

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

A Unified Resource Scheduler to co-schedule mixed types of workloads such as batch, stateless and stateful jobs in a single cluster for better resource utilization. Designed for web-scale companies with millions of containers and tens of thousands of nodes.
Peloton is a tool in the Cluster Management category of a tech stack.
Peloton is an open source tool with 635 GitHub stars and 64 GitHub forks. Here’s a link to Peloton's open source repository on GitHub

Top Alternatives to Peloton

  • 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. ...

  • 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). ...

  • 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. ...

  • 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. ...

  • 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. ...

  • 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. ...

Peloton 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
  • 21
    Easy scaling
  • 6
    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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    Self-healing
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    Autoscaling support
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    Bult-in Vault inegration
  • 1
    Stable
  • 1
    Simple
  • 1
    Nice ACL
  • 1
    Managable by terraform
  • 1
    Open source
  • 1
    Multiple workload support
  • 1
    Flexible
CONS OF NOMAD
  • 3
    Easy to start with
  • 1
    HCL language for configuration, an unpopular DSL
  • 1
    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
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

    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

      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

          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
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            related Mesosphere 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
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              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
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                  related Gardener posts