Overview

Docker Swarm Visualizer

Stacks25

Followers108

Votes3

Testcontainers

Stacks139

Followers59

Votes0

GitHub Stars8.5K

Forks1.8K

Docker Swarm Visualizer vs Testcontainers: What are the differences?

Deployment Method: Docker Swarm Visualizer is used for visualizing Docker Swarm clusters in a user-friendly web interface, while Testcontainers is primarily used for integration testing with Docker containers in Java applications.
Functionality: Docker Swarm Visualizer focuses on providing a visualization of the Docker Swarm cluster and its services, whereas Testcontainers offers a programmatic way to spin up Docker containers for testing purposes.
Use Case: Docker Swarm Visualizer is ideal for monitoring and managing Docker Swarm clusters, helping users to understand their cluster structure and resource allocation, whereas Testcontainers is suited for automated integration testing of applications that rely on Docker containers.
Supported Languages: Docker Swarm Visualizer is language-agnostic as it simply visualizes the Docker Swarm architecture, while Testcontainers is specifically designed for Java applications to run integration tests against Docker containers.
User Interface: Docker Swarm Visualizer provides a graphical representation of the Docker Swarm cluster, making it easier for users to navigate and analyze the cluster setup, whereas Testcontainers is primarily used programmatically within the codebase for containerized testing.
Community Support: Docker Swarm Visualizer has a larger community and broader use case with respect to Docker Swarm management, while Testcontainers is more focused on providing a reliable testing environment for Java applications using Docker containers.

In Summary, Docker Swarm Visualizer and Testcontainers offer distinct functionalities tailored towards visualizing Docker Swarm clusters and facilitating Docker container-based testing in Java applications, respectively.

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Detailed Comparison

Docker Swarm Visualizer	Testcontainers
Each node in the swarm will show all tasks running on it. When a service goes down it'll be removed. When a node goes down it won't, instead the circle at the top will turn red to indicate it went down. Tasks will be removed.	It is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.
-	Data access layer integration tests; Application integration tests; UI/Acceptance tests
Statistics
GitHub Stars -	GitHub Stars 8.5K
GitHub Forks -	GitHub Forks 1.8K
Stacks 25	Stacks 139
Followers 108	Followers 59
Votes 3	Votes 0
Pros & Cons
Pros 1 Easy to deploy 1 Stateless 1 Reverse proxy support	No community feedback yet
Integrations
Docker Docker Swarm	Oracle Docker PostgreSQL MySQL Spock Framework JUnit

What are some alternatives to Docker Swarm Visualizer, Testcontainers?

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.

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.

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.

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.