Joyent Triton vs Kubernetes

Overview

Kubernetes

Stacks61.2K

Followers52.8K

Votes685

Joyent Triton

Stacks19

Followers21

Votes0

Joyent Triton vs Kubernetes: What are the differences?

Introduction

In this article, we will explore the key differences between Joyent Triton and Kubernetes. Both Joyent Triton and Kubernetes are popular container orchestration platforms used for managing and scaling containerized applications. However, they differ in various aspects, which we will discuss in detail below.

Architecture: Joyent Triton follows a container-native infrastructure design model, where containers run directly on bare metal servers without the need for virtualization. On the other hand, Kubernetes operates on a clustered architecture, managing containers within virtualized environments.
Networking: Joyent Triton provides built-in networking capabilities, allowing containers to communicate with each other directly using virtual network interfaces. In contrast, Kubernetes relies on external networking plugins to provide communication between containers and services. This gives Joyent Triton a more streamlined and efficient networking model.
Storage: Joyent Triton offers an integrated storage solution called Triton Object Storage, which is designed to handle large-scale data storage requirements. Kubernetes, on the other hand, does not provide its own storage system and relies on external storage providers or plugins for managing persistent storage.
Scalability: Joyent Triton is known for its auto-scaling capabilities, which can dynamically provision and scale resources based on application demand. Kubernetes also supports scaling, but it requires additional configuration and setup to achieve auto-scaling capabilities.
Ease of Use: Joyent Triton aims to provide a simpler and more streamlined user experience, with intuitive command-line tools and APIs. Kubernetes, being a more feature-rich platform, has a steeper learning curve and requires a deeper understanding of its components and concepts.
Provider Lock-In: Joyent Triton is a proprietary platform provided by Joyent, which means users are limited to using their infrastructure. Kubernetes, on the other hand, is an open-source project and can be deployed on various cloud providers or on-premises infrastructure, offering more flexibility and avoiding vendor lock-in.

In summary, Joyent Triton and Kubernetes differ in terms of their architecture, networking model, storage capabilities, scalability options, ease of use, and provider lock-in. Joyent Triton provides a container-native infrastructure with integrated networking and storage, while Kubernetes offers a scalable, feature-rich platform that supports various deployment environments.

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Advice on Kubernetes, Joyent Triton

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

Decidedon

GitHub

GitHub Pages

Markdown

Our whole DevOps stack consists of the following tools:

@{GitHub}|tool:27| (incl. @{GitHub Pages}|tool:683|/@{Markdown}|tool:1147| for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
Respectively @{Git}|tool:1046| as revision control system
@{SourceTree}|tool:1599| as @{Git}|tool:1046| GUI
@{Visual Studio Code}|tool:4202| as IDE
@{CircleCI}|tool:190| for continuous integration (automatize development process)
@{Prettier}|tool:7035| / @{TSLint}|tool:5561| / @{ESLint}|tool:3337| as code linter
@{SonarQube}|tool:2638| as quality gate
@{Docker}|tool:586| as container management (incl. @{Docker Compose}|tool:3136| for multi-container application management)
@{VirtualBox}|tool:774| for operating system simulation tests
@{Kubernetes}|tool:1885| as cluster management for docker containers
@{Heroku}|tool:133| for deploying in test environments
@{nginx}|tool:1052| as web server (preferably used as facade server in production environment)
@{SSLMate}|tool:2752| (using @{OpenSSL}|tool:3091|) for certificate management
@{Amazon EC2}|tool:18| (incl. @{Amazon S3}|tool:25|) for deploying in stage (production-like) and production environments
@{PostgreSQL}|tool:1028| as preferred database system
@{Redis}|tool:1031| as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
Scalability: All-in-one framework for distributed systems.
Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.

12.8M views12.8M

Comments

Anis

Founder at Odix

Nov 7, 2020

Review

I recommend this : -Spring reactive for back end : the fact it's reactive (async) it consumes half of the resources that a sync platform needs (so less CPU -> less money). -Angular : Web Front end ; it's gives you the possibility to use PWA which is a cheap replacement for a mobile app (but more less popular). -Docker images. -Kubernetes to orchestrate all the containers. -I Use Jenkins / blueocean, ansible for my CI/CD (with Github of course) -AWS of course : u can run a K8S cluster there, make it multi AZ (availability zones) to be highly available, use a load balancer and an auto scaler and ur good to go. -You can store data by taking any managed DB or u can deploy ur own (cheap but risky).

You pay less money, but u need some technical 2 - 3 guys to make that done.

Good luck

115k views115k

Comments

Detailed Comparison

Kubernetes	Joyent Triton
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.	Simple and proven. Securely deploy and operate containers with bare metal speed on container-native infrastructure, your cloud or ours.
Lightweight, simple and accessible;Built for a multi-cloud world, public, private or hybrid;Highly modular, designed so that all of its components are easily swappable	Bare metal performance;Container-native networking;Container-native networking;Container introspection;Production-grade security;Dynamic utilization
Statistics
Stacks 61.2K	Stacks 19
Followers 52.8K	Followers 21
Votes 685	Votes 0
Pros & Cons
Pros 166 Leading docker container management solution 130 Simple and powerful 108 Open source 76 Backed by google 58 The right abstractions Cons 16 Steep learning curve 15 Poor workflow for development 8 Orchestrates only infrastructure 4 High resource requirements for on-prem clusters 2 Too heavy for simple systems	No community feedback yet
Integrations
Vagrant Docker Rackspace Cloud Servers Microsoft Azure Google Compute Engine Ansible Google Kubernetes Engine	Docker

What are some alternatives to Kubernetes, Joyent Triton?

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

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.

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

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.

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

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.

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

Related Comparisons

Joyent Triton vs Kubernetes: What are the differences?

Introduction

Architecture: Joyent Triton follows a container-native infrastructure design model, where containers run directly on bare metal servers without the need for virtualization. On the other hand, Kubernetes operates on a clustered architecture, managing containers within virtualized environments.
Networking: Joyent Triton provides built-in networking capabilities, allowing containers to communicate with each other directly using virtual network interfaces. In contrast, Kubernetes relies on external networking plugins to provide communication between containers and services. This gives Joyent Triton a more streamlined and efficient networking model.
Storage: Joyent Triton offers an integrated storage solution called Triton Object Storage, which is designed to handle large-scale data storage requirements. Kubernetes, on the other hand, does not provide its own storage system and relies on external storage providers or plugins for managing persistent storage.
Scalability: Joyent Triton is known for its auto-scaling capabilities, which can dynamically provision and scale resources based on application demand. Kubernetes also supports scaling, but it requires additional configuration and setup to achieve auto-scaling capabilities.
Ease of Use: Joyent Triton aims to provide a simpler and more streamlined user experience, with intuitive command-line tools and APIs. Kubernetes, being a more feature-rich platform, has a steeper learning curve and requires a deeper understanding of its components and concepts.
Provider Lock-In: Joyent Triton is a proprietary platform provided by Joyent, which means users are limited to using their infrastructure. Kubernetes, on the other hand, is an open-source project and can be deployed on various cloud providers or on-premises infrastructure, offering more flexibility and avoiding vendor lock-in.

Joyent Triton vs Kubernetes

Overview

Joyent Triton vs Kubernetes: What are the differences?