ContainerShip vs Kubernetes

Overview

Kubernetes

Stacks61.2K

Followers52.8K

Votes685

ContainerShip

Stacks9

Followers26

Votes0

GitHub Stars241

Forks32

ContainerShip vs Kubernetes: What are the differences?

### Introduction
In the realm of container orchestration, both ContainerShip and Kubernetes are popular choices that offer solutions for managing containers efficiently. While they share similarities in functionality, there are key differences that distinguish them from each other.

1. **Architecture**: ContainerShip follows a modular architecture with separate components for API, Scheduler, and Executor, whereas Kubernetes has a more tightly integrated architecture with components like etcd, kube-apiserver, kube-controller-manager, and kube-scheduler.
   
2. **Scalability**: Kubernetes has proven to be more scalable, handling a larger number of nodes and containers compared to ContainerShip, which may struggle with scalability as the cluster size increases.
   
3. **Community Support**: Kubernetes has a larger community backing, resulting in more extensive documentation, support, and a vibrant ecosystem of third-party tools and plugins, offering a broader range of capabilities than ContainerShip.
   
4. **Ease of Use**: ContainerShip is known for its simplicity and ease of use, making it an attractive choice for users who prefer straightforward configuration and management, while Kubernetes, with its feature-rich functionality, may have a steeper learning curve for beginners.
   
5. **Resource Efficiency**: Kubernetes tends to be more resource-intensive due to its complex architecture and features, whereas ContainerShip focuses on optimizing resource utilization, making it a more lightweight option for environments where resource efficiency is a priority.
   
6. **Portability**: ContainerShip emphasizes portability by enabling users to easily migrate workloads across different cloud providers, making it a flexible choice for organizations with multi-cloud strategies, whereas Kubernetes' portability may be more limited in comparison.

In Summary, the choice between ContainerShip and Kubernetes ultimately depends on factors such as architecture preferences, scalability requirements, community support, ease of use, resource efficiency, and portability needs.

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Advice on Kubernetes, ContainerShip

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

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Detailed Comparison

Kubernetes	ContainerShip
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.	ContainerShip is an open source hosting platform that makes it simple to build, scale and manage containerized web infrastructure. It supports applications with persistent data needs, has built in disaster recovery, and lets you move between clouds with a click.
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	Orchestration;Service Discovery;Internal DNS;Load Balancing;High Availabilty;Cross-Host Linking;Automatic Recovery;Push-Button Scaling;Plugin System;Persistent Data Management;Move your databases between servers;DockerHub Integration;Integrated WebUI;Command Line Interface;API;Runs anywhere Docker runs
Statistics
GitHub Stars -	GitHub Stars 241
GitHub Forks -	GitHub Forks 32
Stacks 61.2K	Stacks 9
Followers 52.8K	Followers 26
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	Amazon EC2 Rackspace Cloud Servers DigitalOcean Joyent Cloud GitHub Elasticsearch Loggly Travis CI AWS Cloud9 Amazon VPC

What are some alternatives to Kubernetes, ContainerShip?

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

@{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.

ContainerShip vs Kubernetes

Overview

ContainerShip vs Kubernetes: What are the differences?

Share your Stack

Advice on Kubernetes, ContainerShip

Detailed Comparison

What are some alternatives to Kubernetes, ContainerShip?

Rancher

Docker Compose

Amazon EC2 Container Service

Docker Swarm

Tutum

Portainer

Google Kubernetes Engine

Codefresh

Containerum

CAST.AI

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ContainerShip vs Kubernetes

Overview

ContainerShip vs Kubernetes: What are the differences?

Share your Stack

Advice on Kubernetes, ContainerShip

Detailed Comparison

What are some alternatives to Kubernetes, ContainerShip?

Rancher

Docker Compose

Amazon EC2 Container Service

Docker Swarm

Tutum

Portainer

Google Kubernetes Engine

Codefresh

Containerum

CAST.AI

Related Comparisons

Bitbucket vs GitHub vs GitLab

AWS CodeCommit vs Bitbucket vs GitHub

Docker Swarm vs Kubernetes vs Rancher

Grunt vs Webpack vs gulp

Grafana vs Graphite vs Kibana