Docker Swarm vs TeamCity

Overview

TeamCity

Stacks1.2K

Followers1.1K

Votes316

Docker Swarm

Stacks779

Followers990

Votes282

Docker Swarm vs TeamCity: What are the differences?

Introduction

Docker Swarm and TeamCity are both popular tools used in the DevOps environment, but they serve different purposes. Docker Swarm is a container orchestration tool that helps in managing and deploying applications across a cluster of Docker hosts. On the other hand, TeamCity is a continuous integration and delivery (CI/CD) server that aids in automating the build, test, and deployment processes. In this comparison, we will highlight the key differences between Docker Swarm and TeamCity.

Deployment and Infrastructure:
- Docker Swarm focuses on managing the deployment of containerized applications across a Docker Swarm cluster, providing orchestration and scalability capabilities.
- TeamCity, on the other hand, does not directly handle deployment or infrastructure management. Its main purpose is to streamline the continuous integration and delivery process, focusing on building, testing, and automating the delivery pipeline.
Containerization Technology:
- Docker Swarm utilizes Docker containers, which enable consistent and efficient application deployment, scalability, and isolation of dependencies.
- TeamCity, although it can be used in conjunction with Docker, is not solely dependent on containerization technology. It supports various build runners and can work with different technologies and frameworks.
Scalability and High Availability:
- Docker Swarm provides built-in features for scalability and high availability. It utilizes a swarm mode to distribute containers across multiple nodes and automatically handles load balancing and failover.
- TeamCity, while it can be used in a distributed environment, does not have the inherent scalability and high availability features provided by Docker Swarm. Additional configurations and setup may be required to achieve similar capabilities.
Focus on CI/CD:
- TeamCity is primarily focused on CI/CD workflows, providing features like build agents, continuous integration, automated testing, and release management. It integrates well with other tools in the CI/CD ecosystem.
- Docker Swarm, although it can be used as part of a CI/CD process, is not specifically designed for that purpose. It is more focused on container management and orchestration.
Granularity of Resource Management:
- Docker Swarm allows for finer control and management of resources within containers, such as CPU and memory limits, network access, and volume mounts. It provides a more granular approach to resource allocation and management.
- TeamCity, while it allows configuration of resource requirements for builds and tests, does not provide the same level of fine-grained control over resource management within containers or virtual machines.
Community and Ecosystem:
- Docker Swarm benefits from a large and active community, with extensive documentation, tutorials, and a wide range of third-party tools and integrations. It is widely adopted and supported by major cloud providers.
- TeamCity also has a vibrant community and ecosystem, with a strong user base, plugin marketplace, and support from JetBrains (the company behind TeamCity). It has integrations with various tools and technologies used in the CI/CD pipeline.

In summary, Docker Swarm excels in container orchestration and deployment management, with a focus on scalability and high availability. TeamCity, on the other hand, is geared towards continuous integration and delivery, providing a comprehensive CI/CD server with features like build automation, testing, and release management.

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Advice on TeamCity, Docker Swarm

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

Decidedon

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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.

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Detailed Comparison

TeamCity	Docker Swarm
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.	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.
Automate code analyzing, compiling, and testing processes, with having instant feedback on build progress, problems, and test failures, all in a simple, intuitive web-interface; Simplified setup: create projects from just a VCS repository URL;Run multiple builds and tests under different configurations and platforms simultaneously; Make sure your team sustains an uninterrupted workflow with the help of Pretested commits and Personal builds; Have build history insight with customizable statistics on build duration, success rate, code quality, and custom metrics; Enable cost-effective on-demand build infrastructure scaling thanks to tight integration with Amazon EC2; Easily extend TeamCity functionality and add new integrations using Java API; Great visual project representation. Track any changes made by any user in the system, filter projects and choose style of visual change status representation;	-
Statistics
Stacks 1.2K	Stacks 779
Followers 1.1K	Followers 990
Votes 316	Votes 282
Pros & Cons
Pros 61 Easy to configure 37 Reliable and high-quality 32 User friendly 32 Github integration 32 On premise Cons 3 High costs for more than three build agents 2 User-friendly 2 User friendly 2 Proprietary	Pros 55 Docker friendly 46 Easy to setup 40 Standard Docker API 38 Easy to use 23 Native Cons 9 Low adoption
Integrations
Slack	Docker

What are some alternatives to TeamCity, Docker Swarm?

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

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 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

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.

Kubernetes

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.

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.

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

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.

Related Comparisons

Docker Swarm vs TeamCity: What are the differences?

Introduction

Deployment and Infrastructure:
- Docker Swarm focuses on managing the deployment of containerized applications across a Docker Swarm cluster, providing orchestration and scalability capabilities.
- TeamCity, on the other hand, does not directly handle deployment or infrastructure management. Its main purpose is to streamline the continuous integration and delivery process, focusing on building, testing, and automating the delivery pipeline.
Containerization Technology:
- Docker Swarm utilizes Docker containers, which enable consistent and efficient application deployment, scalability, and isolation of dependencies.
- TeamCity, although it can be used in conjunction with Docker, is not solely dependent on containerization technology. It supports various build runners and can work with different technologies and frameworks.
Scalability and High Availability:
- Docker Swarm provides built-in features for scalability and high availability. It utilizes a swarm mode to distribute containers across multiple nodes and automatically handles load balancing and failover.
- TeamCity, while it can be used in a distributed environment, does not have the inherent scalability and high availability features provided by Docker Swarm. Additional configurations and setup may be required to achieve similar capabilities.
Focus on CI/CD:
- TeamCity is primarily focused on CI/CD workflows, providing features like build agents, continuous integration, automated testing, and release management. It integrates well with other tools in the CI/CD ecosystem.
- Docker Swarm, although it can be used as part of a CI/CD process, is not specifically designed for that purpose. It is more focused on container management and orchestration.
Granularity of Resource Management:
- Docker Swarm allows for finer control and management of resources within containers, such as CPU and memory limits, network access, and volume mounts. It provides a more granular approach to resource allocation and management.
- TeamCity, while it allows configuration of resource requirements for builds and tests, does not provide the same level of fine-grained control over resource management within containers or virtual machines.
Community and Ecosystem:
- Docker Swarm benefits from a large and active community, with extensive documentation, tutorials, and a wide range of third-party tools and integrations. It is widely adopted and supported by major cloud providers.
- TeamCity also has a vibrant community and ecosystem, with a strong user base, plugin marketplace, and support from JetBrains (the company behind TeamCity). It has integrations with various tools and technologies used in the CI/CD pipeline.

Docker Swarm vs TeamCity

Overview

Docker Swarm vs TeamCity: What are the differences?