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  5. DC/OS vs OpenStack

DC/OS vs OpenStack

OverviewComparisonAlternatives

Overview

OpenStack
OpenStack
Stacks790
Followers1.2K
Votes138
DC/OS
DC/OS
Stacks109
Followers180
Votes12
GitHub Stars2.4K
Forks488

DC/OS vs OpenStack: What are the differences?

Introduction

In the world of cloud computing, DC/OS and OpenStack are two popular platforms that offer different services and functionalities to users.

  1. Scalability: DC/OS is known for its ability to scale applications effortlessly by leveraging Mesos, whereas OpenStack allows for vertical scaling but may require more effort to horizontally scale applications across multiple nodes.

  2. Resource Management: DC/OS emphasizes efficient resource utilization and management through its containerization technology, making it easier to allocate and manage resources for various applications. On the other hand, OpenStack provides resource management through its virtualization capabilities, which may require more configuration and optimization for specific workloads.

  3. Ease of Deployment: DC/OS offers a streamlined deployment process for applications with its built-in package management system, while OpenStack's deployment process can be more complex and may involve multiple components and dependencies to set up.

  4. Service Orchestration: DC/OS excels in service orchestration by automating the deployment, scaling, and monitoring of applications, providing a more seamless experience for users. OpenStack, though capable of orchestrating services, may require additional tools or configurations to achieve similar levels of automation and efficiency.

  5. Community Support: DC/OS has a strong community backing with ongoing contributions and updates from Mesosphere, ensuring continuous improvements and support for users. In contrast, OpenStack's community support may vary depending on the specific modules and components being used, leading to potential inconsistencies in updates and maintenance.

  6. Integration with Third-Party Technologies: DC/OS offers out-of-the-box integrations with various third-party technologies and tools, making it easier to extend the platform's capabilities and functionalities. OpenStack, while extensible, may require more customization and integration work to connect with external tools and services.

In Summary, DC/OS and OpenStack differ in scalability, resource management, ease of deployment, service orchestration, community support, and integration with third-party technologies, each catering to specific cloud computing needs and requirements.

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Detailed Comparison

OpenStack
OpenStack
DC/OS
DC/OS

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.

Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.

Compute;Storage;Networking;Dashboard;Shared Services
High Resource Utilization;Mixed Workload Colocation;Container Orchestration;Resource Isolation;Stateful Storage;Package Repositories;Public Cloud;Private Cloud;On-Premise;Command Line Interface;Web Interface;Elastic Scalability;High Availability;Zero Downtime Upgrades;Service Discovery;Load Balancing;Production-Ready
Statistics
GitHub Stars
-
GitHub Stars
2.4K
GitHub Forks
-
GitHub Forks
488
Stacks
790
Stacks
109
Followers
1.2K
Followers
180
Votes
138
Votes
12
Pros & Cons
Pros
  • 60
    Private cloud
  • 39
    Avoid vendor lock-in
  • 23
    Flexible in use
  • 7
    Industry leader
  • 5
    Robust architecture
Pros
  • 5
    Easy to setup a HA cluster
  • 3
    Open source
  • 2
    Has templates to install via AWS and Azure
  • 1
    Easy to get services running and operate them
  • 1
    Easy Setup
Integrations
No integrations available
Apache Mesos
Apache Mesos

What are some alternatives to OpenStack, DC/OS?

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.

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.

Apache Mesos

Apache Mesos

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

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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