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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Concourse vs Kubernetes

Concourse vs Kubernetes

OverviewDecisionsComparisonAlternatives

Overview

Kubernetes
Kubernetes
Stacks61.2K
Followers52.8K
Votes685
Concourse
Concourse
Stacks254
Followers393
Votes54
GitHub Stars7.6K
Forks870

Concourse vs Kubernetes: What are the differences?

Introduction

In the world of DevOps and containerization, both Concourse and Kubernetes stand out as popular and widely-used tools. While they may have some similarities, there are key differences between them that make each suitable for different purposes and scenarios. Let's explore these differences in more detail.

  1. Architecture and Focus: Concourse is a continuous integration and continuous delivery (CI/CD) tool with a pipeline-centric architecture. It focuses on automating and orchestrating software delivery pipelines. On the other hand, Kubernetes is an open-source container orchestration platform that manages and scales containerized applications across a cluster of machines.

  2. Resource Management: Concourse is resource-centric, where each task runs in an isolated container with dedicated resources. It actively allocates and manages resources for tasks within its pipelines. In contrast, Kubernetes is workload-centric, managing the allocation and utilization of resources at a higher level, such as pods and namespaces.

  3. Deployment and Versioning: Concourse manages application deployments through pipelines, which define the entire delivery process from source code to final deployment. Updates and versioning are done by triggering new builds and deployments. In Kubernetes, deployments are managed through declarative YAML files, allowing for easier updates and versioning by modifying the desired state of the deployment.

  4. Scaling and High Availability: While Concourse allows for scaling resources within its pipelines, it does not inherently provide built-in mechanisms for cluster-level scaling or high availability. Kubernetes, however, excels in scaling and providing high availability by automatically distributing containerized workloads across multiple nodes within a cluster.

  5. Service Discovery and Networking: In Concourse, service discovery and networking are primarily handled through pipelines and external tools or services. Kubernetes, on the other hand, provides built-in service discovery and networking capabilities through features like service objects, DNS-based service discovery, and network plugins.

  6. Community and Ecosystem: Concourse is gaining popularity in the CI/CD space and has an active community, but its ecosystem of integrations and tools may be smaller compared to Kubernetes. Kubernetes, being one of the leading container orchestration platforms, has a vast ecosystem, a large community, and extensive documentation and support.

Summary

In summary, Concourse and Kubernetes differ in their architecture, focus, resource management, deployment and versioning approaches, scaling and high availability capabilities, service discovery and networking features, and the size and maturity of their respective communities and ecosystems. Understanding these differences is crucial in choosing the right tool for specific use cases and requirements.

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Advice on Kubernetes, Concourse

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
veera
veera

Jan 27, 2020

Needs advice

I'm planning to setup complete CD-CD setup for spark and python application which we are going to deploy in aws lambda and EMR Cluster. Which tool would be best one to choose. Since my company is trying to adopt to concourse i would like to understand what are the lack of capabilities concourse have . Thanks in advance !

521k views521k
Comments

Detailed Comparison

Kubernetes
Kubernetes
Concourse
Concourse

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.

Concourse's principles reduce the risk of switching to and from Concourse, by encouraging practices that decouple your project from your CI's little details, and keeping all configuration in declarative files that can be checked into version control.

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
-
GitHub Stars
7.6K
GitHub Forks
-
GitHub Forks
870
Stacks
61.2K
Stacks
254
Followers
52.8K
Followers
393
Votes
685
Votes
54
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
  • 16
    Real pipelines
  • 10
    Containerised builds
  • 9
    Flexible engine
  • 6
    Fast
  • 4
    Open source
Cons
  • 2
    Fail forward instead of rollback pattern
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
No integrations available

What are some alternatives to Kubernetes, Concourse?

Jenkins

Jenkins

In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.

Travis CI

Travis CI

Free for open source projects, our CI environment provides multiple runtimes (e.g. Node.js or PHP versions), data stores and so on. Because of this, hosting your project on travis-ci.com means you can effortlessly test your library or applications against multiple runtimes and data stores without even having all of them installed locally.

Codeship

Codeship

Codeship runs your automated tests and configured deployment when you push to your repository. It takes care of managing and scaling the infrastructure so that you are able to test and release more frequently and get faster feedback for building the product your users need.

CircleCI

CircleCI

Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp.

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.

TeamCity

TeamCity

TeamCity is a user-friendly continuous integration (CI) server for professional developers, build engineers, and DevOps. It is trivial to setup and absolutely free for small teams and open source projects.

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.

Drone.io

Drone.io

Drone is a hosted continuous integration service. It enables you to conveniently set up projects to automatically build, test, and deploy as you make changes to your code. Drone integrates seamlessly with Github, Bitbucket and Google Code as well as third party services such as Heroku, Dotcloud, Google AppEngine and more.

wercker

wercker

Wercker is a CI/CD developer automation platform designed for Microservices & Container Architecture.

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