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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cluster Management
  5. Mesosphere vs Nomad

Mesosphere vs Nomad

OverviewComparisonAlternatives

Overview

Mesosphere
Mesosphere
Stacks80
Followers108
Votes6
Nomad
Nomad
Stacks256
Followers344
Votes32
GitHub Stars15.9K
Forks2.0K

Mesosphere vs Nomad: What are the differences?

Developers describe Mesosphere as "Combine your datacenter servers and cloud instances into one shared pool". 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. On the other hand, Nomad is detailed as "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.

Mesosphere and Nomad can be categorized as "Cluster Management" tools.

Nomad is an open source tool with 4.93K GitHub stars and 893 GitHub forks. Here's a link to Nomad's open source repository on GitHub.

CircleCI, LendUp, and Wealthsimple are some of the popular companies that use Nomad, whereas Mesosphere is used by Keen, GoGuardian, and Qordoba. Nomad has a broader approval, being mentioned in 21 company stacks & 3 developers stacks; compared to Mesosphere, which is listed in 12 company stacks and 8 developer stacks.

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Detailed Comparison

Mesosphere
Mesosphere
Nomad
Nomad

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.

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.

Built on top of open source technology;Grow to tens of thousands of nodes effortlessly while dynamically allocating resources with ease.;Mesosphere keeps your apps running by rebalancing resources and restarting failed tasks automatically.;Mesosphere packs each server with multiple apps, increasing resource utilization.;
Handles the scheduling and upgrading of the applications over time; With built-in dry-run execution, Nomad shows what scheduling decisions it will take before it takes them. Operators can approve or deny these changes to create a safe and reproducible workflow; Nomad runs applications and ensures they keep running in failure scenarios. In addition to long-running services, Nomad can schedule batch jobs, distributed cron jobs, and parameterized jobs; Stream logs, send signals, and interact with the file system of scheduled applications. These operator-friendly commands bring the familiar debugging tools to a scheduled world
Statistics
GitHub Stars
-
GitHub Stars
15.9K
GitHub Forks
-
GitHub Forks
2.0K
Stacks
80
Stacks
256
Followers
108
Followers
344
Votes
6
Votes
32
Pros & Cons
Pros
  • 6
    Devops
Pros
  • 7
    Built in Consul integration
  • 6
    Easy setup
  • 4
    Bult-in Vault integration
  • 3
    Built-in federation support
  • 2
    Self-healing
Cons
  • 3
    Easy to start with
  • 1
    HCL language for configuration, an unpopular DSL
  • 1
    Small comunity
Integrations
Amazon EC2
Amazon EC2
OpenStack
OpenStack
Docker
Docker
Red Hat OpenShift
Red Hat OpenShift
Apache Mesos
Apache Mesos
Consul
Consul
Docker
Docker
Vault
Vault

What are some alternatives to Mesosphere, Nomad?

Apache Mesos

Apache Mesos

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

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.

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.

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).

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.

Elastic Apache Mesos

Elastic Apache Mesos

Elastic Apache Mesos is a web service that automates the creation of Apache Mesos clusters on Amazon Elastic Compute Cloud (EC2). It provisions EC2 instances, installs dependencies including Apache ZooKeeper and HDFS, and delivers you a cluster with all the services running.

Peloton

Peloton

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.

Kocho

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.

Warewulf

Warewulf

It is an operating system provisioning platform for Linux that is designed to produce secure, scalable, turnkey cluster deployments that maintain flexibility and simplicity.

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