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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.
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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.
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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.
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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.
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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.
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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.
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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.
Decisions about Docker Swarm and TeamCity
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 12.1M views
Our whole DevOps stack consists of the following tools:
- GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
- Respectively Git as revision control system
- SourceTree as Git GUI
- Visual Studio Code as IDE
- CircleCI for continuous integration (automatize development process)
- Prettier / TSLint / ESLint as code linter
- SonarQube as quality gate
- Docker as container management (incl. Docker Compose for multi-container application management)
- VirtualBox for operating system simulation tests
- Kubernetes as cluster management for docker containers
- Heroku for deploying in test environments
- nginx as web server (preferably used as facade server in production environment)
- SSLMate (using OpenSSL) for certificate management
- Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
- PostgreSQL as preferred database system
- Redis 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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Learn MorePros of Docker Swarm
Pros of TeamCity
Pros of Docker Swarm
- Docker friendly55
- Easy to setup46
- Standard Docker API40
- Easy to use38
- Native23
- Free22
- Clustering made easy13
- Simple usage12
- Integral part of docker11
- Cross Platform6
- Labels and annotations5
- Performance5
- Easy Networking3
- Shallow learning curve3
Pros of TeamCity
- Easy to configure61
- Reliable and high-quality37
- User friendly32
- On premise32
- Github integration32
- Great UI18
- Smart16
- Free for open source12
- Can run jobs in parallel12
- Crossplatform8
- Chain dependencies5
- Fully-functional out of the box5
- Great support by jetbrains4
- REST API4
- Projects hierarchy4
- 100+ plugins4
- Personal notifications3
- Free for small teams3
- Build templates3
- Per-project permissions3
- Upload build artifacts2
- Smart build failure analysis and tracking2
- Ide plugins2
- GitLab integration2
- Artifact dependencies2
- Official reliable support2
- Build progress messages promoting from running process2
- Repository-stored, full settings dsl with ide support1
- Built-in artifacts repository1
- Powerful build chains / pipelines1
- TeamCity Professional is FREE1
- High-Availability0
- Hosted internally0
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Cons of Docker Swarm
Cons of TeamCity
Cons of Docker Swarm
- Low adoption9
Cons of TeamCity
- High costs for more than three build agents3
- Proprietary2
- User-friendly2
- User friendly2
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What is 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.
What is 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.
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What tools integrate with Docker Swarm?
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What are some alternatives to Docker Swarm and TeamCity?
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.
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.
Ansible
Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.
Apache Mesos
Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.
CoreOS
It is designed for security, consistency, and reliability. Instead of installing packages via yum or apt, it uses Linux containers to manage your services at a higher level of abstraction. A single service's code and all dependencies are packaged within a container that can be run on one or many machines.