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  5. Buddy vs Kubernetes

Buddy vs Kubernetes

OverviewDecisionsComparisonAlternatives

Overview

Kubernetes
Kubernetes
Stacks61.2K
Followers52.8K
Votes685
Buddy
Buddy
Stacks293
Followers348
Votes606

Buddy vs Kubernetes: What are the differences?

Buddy: Build, test and deploy on push in seconds. Git platform for web and software developers with Docker-based tools for Continuous Integration and Deployment; Kubernetes: Manage a cluster of Linux containers as a single system to accelerate Dev and simplify Ops. 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.

Buddy belongs to "Continuous Deployment" category of the tech stack, while Kubernetes can be primarily classified under "Container Tools".

Some of the features offered by Buddy are:

  • Automatic deployments on push to branch
  • Docker-based builds and tests
  • 10-minute setup of complete environment

On the other hand, Kubernetes provides the following key features:

  • 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

"Docker" is the primary reason why developers consider Buddy over the competitors, whereas "Leading docker container management solution" was stated as the key factor in picking Kubernetes.

Kubernetes is an open source tool with 55.1K GitHub stars and 19.1K GitHub forks. Here's a link to Kubernetes's open source repository on GitHub.

Google, Slack, and Shopify are some of the popular companies that use Kubernetes, whereas Buddy is used by Docplanner, Buddy, and Ambar. Kubernetes has a broader approval, being mentioned in 1046 company stacks & 1096 developers stacks; compared to Buddy, which is listed in 20 company stacks and 13 developer stacks.

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Advice on Kubernetes, Buddy

Simon
Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

DecidedonGitHubGitHubGitHub PagesGitHub PagesMarkdownMarkdown

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

Detailed Comparison

Kubernetes
Kubernetes
Buddy
Buddy

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.

Git platform for web and software developers with Docker-based tools for Continuous Integration and Deployment.

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
Automatic deployments on push to branch;Docker-based builds and tests;10-minute setup of complete environment;Integrates with GitHub, Bitbucket & GitLab;DevOps and website monitoring actions;Clear and telling UI/UX;Supports all popular languages and frameworks, including PHP/Laravel, Node.js, Rails, Python, Java, .NET Core, Elixir and Go
Statistics
Stacks
61.2K
Stacks
293
Followers
52.8K
Followers
348
Votes
685
Votes
606
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
Pros
  • 56
    Easy setup
  • 53
    Docker
  • 50
    Continuous Integration
  • 49
    Integrations
  • 46
    Beautiful dashboard
Cons
  • 1
    Deleted account after 1 month of not pushing code
Integrations
Vagrant
Vagrant
Docker
Docker
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Google Compute Engine
Google Compute Engine
Ansible
Ansible
Google Kubernetes Engine
Google Kubernetes Engine
Jekyll
Jekyll
Grunt
Grunt
Microsoft Azure
Microsoft Azure
Hexo
Hexo
Amazon EC2
Amazon EC2
Meteor
Meteor
Slack
Slack
.NET
.NET
Ruby
Ruby
Cassandra
Cassandra

What are some alternatives to Kubernetes, Buddy?

Rancher

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

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.

Docker Swarm

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

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

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.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

DeployBot

DeployBot

DeployBot makes it simple to deploy your work anywhere. You can compile or process your code in a Docker container on our infrastructure, and we'll copy it to your servers once everything has been successfully built.

Codefresh

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.

AWS CodePipeline

AWS CodePipeline

CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.

Deployer

Deployer

A deployment tool written in PHP with support for popular frameworks out of the box

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