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  1. Stackups
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  5. Kubernetes vs boot2docker

Kubernetes vs boot2docker

OverviewDecisionsComparisonAlternatives

Overview

boot2docker
boot2docker
Stacks263
Followers211
Votes95
GitHub Stars8.3K
Forks1.3K
Kubernetes
Kubernetes
Stacks61.2K
Followers52.8K
Votes685

Kubernetes vs boot2docker: What are the differences?

1. Installation and Setup: Kubernetes is a container orchestrator platform that requires a complex setup process involving multiple components like kubelet, kube-proxy, and etcd. In contrast, boot2docker is a lightweight Linux distribution designed specifically for running Docker containers with a simple installation process.

2. Resource Management: Kubernetes provides advanced resource management features like auto-scaling, monitoring, and load balancing for containers across a cluster. On the other hand, boot2docker primarily focuses on running Docker containers without the extensive resource management capabilities of Kubernetes.

3. Scalability: Kubernetes is built for scalability and can manage large clusters of containers efficiently, enabling horizontal scaling of applications. Boot2docker, while capable of running containers, is more suited for smaller-scale deployments due to its limited scalability features.

4. Ecosystem Integration: Kubernetes has a rich ecosystem of tools and plugins for monitoring, logging, networking, and storage integration, making it a comprehensive platform for container orchestration. In contrast, boot2docker has a more limited ecosystem and is mainly focused on providing a minimal environment for running Docker containers.

5. Community Support: Kubernetes has a large and active community of developers and users, contributing to its continuous improvement and development. Boot2docker, while supported by a community of users, may not have the same level of community support and resources available as Kubernetes.

6. Use Cases: Kubernetes is suitable for complex, large-scale containerized applications deployed in production environments that require high availability, scalability, and fault tolerance. On the other hand, boot2docker is more commonly used for local development environments, testing, and small-scale deployments where simplicity and ease of use are prioritized over advanced orchestration features.

In Summary, Kubernetes and boot2docker differ in installation complexity, resource management capabilities, scalability, ecosystem integration, community support, and use cases.

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Advice on boot2docker, Kubernetes

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
Anis
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

boot2docker
boot2docker
Kubernetes
Kubernetes

boot2docker is a lightweight Linux distribution based on Tiny Core Linux made specifically to run Docker containers. It runs completely from RAM, weighs ~27MB and boots in ~5s (YMMV).

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.

Kernel 3.14.1 with AUFS, Docker 0.10.1, LXC 0.8.0;Container persistence via disk automount on /var/lib/docker;SSH keys persistence via disk automount
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
Statistics
GitHub Stars
8.3K
GitHub Stars
-
GitHub Forks
1.3K
GitHub Forks
-
Stacks
263
Stacks
61.2K
Followers
211
Followers
52.8K
Votes
95
Votes
685
Pros & Cons
Pros
  • 43
    Lightweight
  • 35
    Use docker when it's not natively possible
  • 11
    Use it for fast demo without big image
  • 3
    Easy to use
  • 3
    Containers
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
Integrations
Docker
Docker
VirtualBox
VirtualBox
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

What are some alternatives to boot2docker, Kubernetes?

Vagrant

Vagrant

Vagrant provides the framework and configuration format to create and manage complete portable development environments. These development environments can live on your computer or in the cloud, and are portable between Windows, Mac OS X, and Linux.

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.

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.

CAST.AI

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.

Otto

Otto

Otto automatically builds development environments without any configuration; it can detect your project type and has built-in knowledge of industry-standard tools to setup a development environment that is ready to go. When you're ready to deploy, otto builds and manages an infrastructure, sets up servers, builds, and deploys the application.

libvirt

libvirt

It is an open-source API, daemon and management tool for managing platform virtualization. It can be used to manage KVM, Xen, VMware ESXi, QEMU and other virtualization technologies.

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