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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Docker Compose vs Kubernetes vs Portainer

Docker Compose vs Kubernetes vs Portainer

OverviewDecisionsComparisonAlternatives

Overview

Kubernetes
Kubernetes
Stacks61.2K
Followers52.8K
Votes685
Docker Compose
Docker Compose
Stacks22.3K
Followers16.5K
Votes501
GitHub Stars36.4K
Forks5.5K
Portainer
Portainer
Stacks507
Followers842
Votes146

Docker Compose vs Kubernetes vs Portainer: What are the differences?

Introduction

In today's technology landscape, containerization has gained significant popularity, revolutionizing application deployment and management. Docker Compose, Kubernetes, and Portainer are three key tools used in this space. This article aims to highlight the key differences between these three tools and their specific use cases.

  1. Docker Compose: Docker Compose is a tool that helps in defining and running multi-container Docker applications. It allows developers to describe all the services required for an application, their dependencies, and how they should interact in a single YAML file. Docker Compose simplifies the process of managing and orchestrating containers on a single host machine, making it ideal for development environments or small-scale deployments.

  2. Kubernetes: Kubernetes, often referred to as K8s, is a container orchestration platform that manages the deployment, scaling, and management of containerized applications. It automates various tasks such as scheduling, load balancing, and self-healing, making it suitable for large-scale production deployments. Kubernetes provides a highly scalable and resilient infrastructure for managing containers across multiple nodes or clusters.

  3. Portainer: Portainer is a lightweight management UI for Docker environments. It provides a web-based interface for managing Docker containers, images, networks, and volumes. Portainer simplifies the Docker management process by offering a graphical user interface, making it easy for users to monitor and control their Docker environment. It is particularly useful for users who prefer a visual interface over CLI-based tools.

  4. Difference 1: Scope and Complexity - Docker Compose focuses on managing containers on a single host machine and is relatively simpler to set up and configure compared to Kubernetes. Kubernetes, on the other hand, is designed for managing containers across multiple nodes or clusters, and its configuration and deployment require more expertise and effort.

  5. Difference 2: Scalability and High Availability - Docker Compose is not suitable for managing highly scalable and highly available applications as it operates on a single host machine. Kubernetes, with its advanced features like automatic scaling, load balancing, and fault tolerance, provides a more robust and scalable platform for managing containerized applications.

  6. Difference 3: Networking and Service Discovery - Docker Compose uses its own internal DNS service for service discovery and allows containers to communicate with each other inside a single host. Kubernetes, on the other hand, offers a more sophisticated networking model with a built-in service discovery mechanism and allows containers to communicate across multiple hosts or clusters.

  7. Difference 4: Monitoring and Logging - Docker Compose lacks built-in monitoring and logging capabilities, requiring users to rely on third-party tools for these functionalities. Kubernetes, on the other hand, provides extensive features for monitoring and logging, allowing users to easily collect and analyze container metrics and logs.

  8. Difference 5: Ecosystem and Community Support - Docker Compose has a large and active community that provides support and regularly updates the tool. However, Kubernetes has a much larger ecosystem and community support due to its widespread adoption by major cloud providers and organizations, making it easier to find documentation, tutorials, and community-driven solutions.

  9. Difference 6: Learning Curve and Skill Requirements - Docker Compose has a relatively lower learning curve compared to Kubernetes, making it easier for new users to get started. Kubernetes, with its complex concepts and extensive configuration options, requires a deeper understanding and expertise in container orchestration principles and practices.

In summary, Docker Compose is best suited for simple development environments and small-scale deployments on a single host, while Kubernetes provides a robust platform for managing highly scalable and resilient containerized applications across multiple nodes or clusters. Portainer, on the other hand, complements Docker by offering a user-friendly web-based interface for managing Docker environments.

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Advice on Kubernetes, Docker Compose, Portainer

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
Michael
Michael

CEO at asencis Ltd

Jan 5, 2021

Needs advice

We develop rapidly with docker-compose orchestrated services, however, for production - we utilise the very best ideas that Kubernetes has to offer: SCALE! We can scale when needed, setting a maximum and minimum level of nodes for each application layer - scaling only when the load balancer needs it. This allowed us to reduce our devops costs by 40% whilst also maintaining an SLA of 99.87%.

272k views272k
Comments

Detailed Comparison

Kubernetes
Kubernetes
Docker Compose
Docker Compose
Portainer
Portainer

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.

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.

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.

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 management; Docker UI; Docker cluster management; Swarm visualizer; Authentication; User Access Control; Docker container management; Docker service management; Docker overview; Docker console; Docker swarm status; Docker image management; Docker network management; Docker dashboard; Remote HTTP API; Automation
Statistics
GitHub Stars
-
GitHub Stars
36.4K
GitHub Stars
-
GitHub Forks
-
GitHub Forks
5.5K
GitHub Forks
-
Stacks
61.2K
Stacks
22.3K
Stacks
507
Followers
52.8K
Followers
16.5K
Followers
842
Votes
685
Votes
501
Votes
146
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
  • 123
    Multi-container descriptor
  • 110
    Fast development environment setup
  • 79
    Easy linking of containers
  • 68
    Simple yaml configuration
  • 60
    Easy setup
Cons
  • 9
    Tied to single machine
  • 5
    Still very volatile, changing syntax often
Pros
  • 36
    Simple
  • 27
    Great UI
  • 19
    Friendly
  • 12
    Easy to setup, gives a practical interface for Docker
  • 11
    Because it just works, super simple yet powerful
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
Docker
Docker
Docker Swarm
Docker Swarm
Docker Secrets
Docker Secrets
Auth0
Auth0
Docker
Docker

What are some alternatives to Kubernetes, Docker Compose, Portainer?

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 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.

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.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

Docker Machine

Docker Machine

Machine lets you create Docker hosts on your computer, on cloud providers, and inside your own data center. It creates servers, installs Docker on them, then configures the Docker client to talk to them.

Harbor

Harbor

Harbor is an open source cloud native registry that stores, signs, and scans container images for vulnerabilities. Harbor solves common challenges by delivering trust, compliance, performance, and interoperability. It fills a gap for organ

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