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  5. Nomad vs OpenStack

Nomad vs OpenStack

OverviewComparisonAlternatives

Overview

OpenStack
OpenStack
Stacks790
Followers1.2K
Votes138
Nomad
Nomad
Stacks256
Followers344
Votes32
GitHub Stars15.9K
Forks2.0K

Nomad vs OpenStack: What are the differences?

Key Differences between Nomad and OpenStack

Nomad and OpenStack are both popular open-source platforms used for managing and orchestrating cloud resources. While they have some similarities, they also have several key differences that set them apart. Below are the six key differences between Nomad and OpenStack:

  1. Deployment Model: Nomad adopts a lightweight and flexible deployment model, making it easy to set up and use. It focuses on task scheduling and orchestration, and can run on various operating systems and infrastructure providers. On the other hand, OpenStack provides a more comprehensive infrastructure-as-a-service (IaaS) solution that includes various modules like compute, storage, and networking, making it suitable for larger deployments.

  2. Scalability: OpenStack is designed to handle large-scale cloud environments with hundreds or thousands of nodes. It provides horizontal scalability by allowing users to add more compute, storage, and networking resources as needed. Nomad, although capable of handling smaller scale deployments, may face challenges when scaling to the same extent as OpenStack.

  3. Pluggability and Extensibility: OpenStack offers a highly modular architecture with a wide range of components and services that can be enabled or disabled based on specific requirements. This modular design allows for greater flexibility and extensibility. On the other hand, Nomad focuses on simplicity and ease of use, offering a limited set of functionalities compared to OpenStack.

  4. Community Support and Maturity: OpenStack has a large and well-established community with extensive documentation, resources, and support. It has been in development for over a decade, making it a mature and stable platform. Nomad, while gaining popularity, is relatively newer and has a smaller community compared to OpenStack.

  5. Virtualization Support: OpenStack supports multiple hypervisors, including KVM, VMware, Hyper-V, and Xen, providing users with more flexibility in choosing the virtualization technology that best fits their needs. Nomad, however, primarily focuses on containerized workloads and relies on container runtimes like Docker.

  6. Complexity and Learning Curve: Nomad is designed to be simple and user-friendly, with a relatively low learning curve. It provides a straightforward interface for deploying and managing tasks, which can be more approachable for users with limited experience. OpenStack, on the other hand, is a more complex platform with a steeper learning curve, requiring in-depth knowledge and expertise to set up and operate effectively.

In summary, Nomad is a lightweight and flexible task scheduler and orchestrator, suitable for smaller deployments and containerized workloads, with a simple interface and easier learning curve. OpenStack, on the other hand, is a comprehensive IaaS platform designed for large-scale cloud environments, providing extensive scalability, pluggability, and community support.

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Detailed Comparison

OpenStack
OpenStack
Nomad
Nomad

OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface.

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.

Compute;Storage;Networking;Dashboard;Shared Services
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
790
Stacks
256
Followers
1.2K
Followers
344
Votes
138
Votes
32
Pros & Cons
Pros
  • 60
    Private cloud
  • 39
    Avoid vendor lock-in
  • 23
    Flexible in use
  • 7
    Industry leader
  • 5
    Robust architecture
Pros
  • 7
    Built in Consul integration
  • 6
    Easy setup
  • 4
    Bult-in Vault integration
  • 3
    Built-in federation support
  • 2
    Autoscaling support
Cons
  • 3
    Easy to start with
  • 1
    HCL language for configuration, an unpopular DSL
  • 1
    Small comunity
Integrations
No integrations available
Consul
Consul
Docker
Docker
Vault
Vault

What are some alternatives to OpenStack, Nomad?

Apache CloudStack

Apache CloudStack

CloudStack is open source software designed to deploy and manage large networks of virtual machines, as a highly available, highly scalable Infrastructure as a Service (IaaS) cloud computing platform.

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.

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.

VirtKick

VirtKick

Software as a service platform for hosting providers.

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).

Atmosly

Atmosly

AI-powered Kubernetes platform for developers & DevOps. Deploy applications without complexity, with intelligent automation and one-click environments.

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.

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