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Docker Swarm vs Weave: What are the differences?
Introduction: Docker Swarm and Weave are both container orchestration tools used to manage and deploy Docker containers in a distributed environment. While they share some similarities, they also have key differences that set them apart. In this article, we will explore these differences in detail.
Scalability and Performance: Docker Swarm is a native solution provided by Docker itself, allowing for easy integration with the Docker ecosystem. It provides excellent scalability and performance for container deployments, thanks to its direct integration with Docker Engine. On the other hand, Weave provides advanced networking capabilities and overlays on top of Docker, offering fine-grained control over network traffic. This additional layer can introduce some overhead and potentially impact performance.
Networking Options: Docker Swarm uses its built-in overlay network driver to enable container communication across different hosts in a Swarm cluster. It provides a simple and straightforward networking solution without any external dependencies. In contrast, Weave leverages its own networking plugin, providing a decentralized and highly customizable networking solution. Weave creates a virtual network that connects containers across different hosts using an encrypted mesh network.
Container Discovery: Docker Swarm relies on its built-in DNS-based service discovery mechanism to enable container discovery within a swarm. It allows containers to find and communicate with each other using their service names. Weave, on the other hand, uses a decentralized and peer-to-peer discovery mechanism. It automatically discovers and registers containers within the Weave network, enabling seamless communication between them.
Load Balancing: Docker Swarm provides built-in load balancing capabilities by distributing incoming requests across the available containers using a round-robin algorithm. It ensures that the workload is evenly distributed, optimizing resource utilization. Weave, however, does not provide built-in load balancing functionality. It relies on external load balancers or custom solutions to distribute traffic among containers.
Integration with Other Tools: Docker Swarm offers seamless integration with other Docker tools and services such as Docker Compose and Docker Registry. It allows for easy management and deployment of containers using familiar Docker commands and configurations. Weave, although compatible with Docker, operates independently and provides additional features like multicast and encryption that are not available in Docker Swarm.
Ease of Use and Learning Curve: Docker Swarm has a relatively low learning curve, especially for users already familiar with Docker. It leverages existing Docker concepts and syntax, making it easy to adopt and use. Weave, on the other hand, introduces additional concepts and does have a steeper learning curve compared to Docker Swarm. Its advanced networking features and decentralized architecture may require some additional effort to understand and configure.
In summary, Docker Swarm and Weave have differences in scalability, networking options, container discovery, load balancing, integration with other tools, and ease of use. While Docker Swarm offers seamless integration with the Docker ecosystem and provides a straightforward networking solution, Weave stands out with its advanced networking capabilities and decentralized architecture. Hence, the choice between Docker Swarm and Weave would depend on the specific requirements and preferences of the users.
Hello, we have a bunch of local hosts (Linux and Windows) where Docker containers are running with bamboo agents on them. Currently, each container is installed as a system service. Each host is set up manually. I want to improve the system by adding some sort of orchestration software that should install, update and check for consistency in my docker containers. I don't need any clouds, all hosts are local. I'd prefer simple solutions. What orchestration system should I choose?
If you just want the basic orchestration between a set of defined hosts, go with Docker Swarm. If you want more advanced orchestration + flexibility in terms of resource management and load balancing go with Kubernetes. In both cases, you can make it even more complex while making the whole architecture more understandable and replicable by using Terraform.
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.
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 Weave
- Easy setup3
- Seamlessly with mesos/marathon3
- Seamless integration with application layer1
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Cons of Docker Swarm
- Low adoption9