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Apache Mesos vs Docker Swarm: What are the differences?
Introduction
Apache Mesos and Docker Swarm are both container orchestration tools that help manage and scale applications in a distributed environment. However, they have key differences that differentiate them in terms of functionality and architecture.
Resource Management: Apache Mesos uses fine-grained resource sharing by offering each framework the ability to allocate resources dynamically, leading to more efficient resource utilization. On the other hand, Docker Swarm utilizes a coarser level of resource allocation, where resources are allocated based on the whole container.
Networking: Docker Swarm allows each container to have its unique IP address, which simplifies networking and enables containers to communicate directly. In contrast, Apache Mesos relies on external projects like Marathon or Chronos for networking support, which adds an extra layer of complexity to the networking setup.
Scalability: Docker Swarm is designed for simplicity and is easier to set up and use for small to medium-sized clusters. Apache Mesos, on the other hand, is built for scalability and can handle larger clusters more efficiently due to its fine-grained resource allocation capabilities.
Ecosystem Integration: Apache Mesos has a larger ecosystem and supports a broader range of frameworks such as Marathon, Chronos, and Aurora, making it more versatile for various use cases. Docker Swarm, while integrated with other Docker tools like Docker Compose and Docker CLI, does not have as extensive of an ecosystem as Apache Mesos.
Fault Tolerance: Docker Swarm relies on the Docker daemon for fault tolerance, which can lead to a single point of failure if the daemon goes down. Apache Mesos, on the other hand, distributes the master nodes for fault tolerance ensuring the system remains operational even if a node fails.
Container Image Management: Docker Swarm simplifies container image management by allowing easy distribution and sharing of Docker images through the use of Docker Registry. Apache Mesos, on the other hand, lacks built-in support for container image management and relies on external tools or frameworks to achieve similar functionality.
In Summary, Apache Mesos excels in resource management, ecosystem integration, and fault tolerance, catering more towards large-scale and complex clusters, while Docker Swarm focuses on simplicity, networking, and container image management, making it more suitable for smaller, straightforward deployments.
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 Apache Mesos
- Easy scaling21
- Web UI6
- Fault-Tolerant2
- Elastic Distributed System1
- High-Available1
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Cons of Docker Swarm
- Low adoption9
Cons of Apache Mesos
- Not for long term1
- Depends on Zookeeper1