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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Containers As A Service
  5. DC/OS vs Joyent Triton

DC/OS vs Joyent Triton

OverviewComparisonAlternatives

Overview

Joyent Triton
Joyent Triton
Stacks19
Followers21
Votes0
DC/OS
DC/OS
Stacks109
Followers180
Votes12
GitHub Stars2.4K
Forks488

DC/OS vs Joyent Triton: What are the differences?

Developers describe DC/OS as "The Datacenter Operating System. The easiest way to run microservices, big data, and containers in production". Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications. On the other hand, Joyent Triton is detailed as "Transform an entire data center into an easy to manage, elastic Docker host". Simple and proven. Securely deploy and operate containers with bare metal speed on container-native infrastructure, your cloud or ours.

DC/OS belongs to "Cluster Management" category of the tech stack, while Joyent Triton can be primarily classified under "Containers as a Service".

Some of the features offered by DC/OS are:

  • High Resource Utilization
  • Mixed Workload Colocation
  • Container Orchestration

On the other hand, Joyent Triton provides the following key features:

  • Bare metal performance
  • Container-native networking
  • Container-native networking

DC/OS is an open source tool with 2.17K GitHub stars and 458 GitHub forks. Here's a link to DC/OS's open source repository on GitHub.

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Detailed Comparison

Joyent Triton
Joyent Triton
DC/OS
DC/OS

Simple and proven. Securely deploy and operate containers with bare metal speed on container-native infrastructure, your cloud or ours.

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

Bare metal performance;Container-native networking;Container-native networking;Container introspection;Production-grade security;Dynamic utilization
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
19
Stacks
109
Followers
21
Followers
180
Votes
0
Votes
12
Pros & Cons
No community feedback yet
Pros
  • 5
    Easy to setup a HA cluster
  • 3
    Open source
  • 2
    Has templates to install via AWS and Azure
  • 1
    Easy Setup
  • 1
    Easy to get services running and operate them
Integrations
Docker
Docker
Apache Mesos
Apache Mesos

What are some alternatives to Joyent Triton, DC/OS?

Amazon EC2 Container Service

Amazon EC2 Container Service

Amazon EC2 Container Service lets you launch and stop container-enabled applications with simple API calls, allows you to query the state of your cluster from a centralized service, and gives you access to many familiar Amazon EC2 features like security groups, EBS volumes and IAM roles.

Google Kubernetes Engine

Google Kubernetes Engine

Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.

Containerum

Containerum

Containerum is built to aid cluster management, teamwork and resource allocation. Containerum runs on top of any Kubernetes cluster and provides a friendly Web UI for cluster management.

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.

Azure Container Service

Azure Container Service

Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else.

Docker Cloud

Docker Cloud

Docker Cloud is the best way to deploy and manage Dockerized applications. Docker Cloud makes it easy for new Docker users to manage and deploy the full spectrum of applications, from single container apps to distributed microservices stacks, to any cloud or on-premises infrastructure.

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.

Amazon EKS

Amazon EKS

Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a managed service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.

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.

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