Docker Swarm Visualizer vs Helm

Overview

Docker Swarm Visualizer

Stacks25

Followers108

Votes3

Helm

Stacks1.4K

Followers911

Votes18

Docker Swarm Visualizer vs Helm: What are the differences?

Scalability: Docker Swarm Visualizer is primarily used for visualizing the swarm in real-time, providing an overview of the containers running on the nodes. In contrast, Helm is a package manager for Kubernetes that simplifies the process of managing, deploying, and updating applications on a Kubernetes cluster. Helm focuses on simplifying the deployment of complex applications, while Docker Swarm Visualizer focuses on monitoring the swarm's state.
Compatibility: Docker Swarm Visualizer is specifically designed for Docker Swarm management and is not compatible with other container orchestration platforms like Kubernetes. On the other hand, Helm is tailored for Kubernetes deployments and does not work with Docker Swarm. It's essential to choose the right tool based on the orchestration platform being used.
Feature Set: Docker Swarm Visualizer offers a graphical representation of the Docker Swarm cluster, allowing users to interact with the containers and nodes visually. In comparison, Helm provides a templating system that enables users to define, install, and upgrade even the most complex Kubernetes applications consistently. The feature sets of both tools cater to different aspects of container orchestration and management.
Community Support: Helm has a more extensive and active community compared to Docker Swarm Visualizer, as Helm is widely adopted in the Kubernetes ecosystem. The community support for Helm is reflected in the vast number of charts available for various applications, making it easier for users to deploy applications on Kubernetes with Helm. Docker Swarm Visualizer, being more specific to Docker Swarm, has a smaller community base.
Deployment Process: Docker Swarm Visualizer is deployed as a standalone container in the Docker Swarm cluster, providing a visual representation of the swarm. In contrast, Helm is installed as a package manager on a client machine, enabling users to manage and deploy Kubernetes applications efficiently. The deployment process for each tool varies based on the platform and purpose.
Purpose: Docker Swarm Visualizer is primarily focused on monitoring and visualizing Docker Swarm clusters, providing insights into the state of containers and nodes. On the other hand, Helm is more about simplifying the deployment and management of applications on Kubernetes by using package management techniques and templates. Understanding the specific purpose of each tool is crucial in choosing the right tool for container orchestration tasks.

In Summary, the key differences between Docker Swarm Visualizer and Helm lie in their scalability, compatibility, feature set, community support, deployment process, and purpose in container orchestration and management.

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CLI (Node.js)

Manual

Detailed Comparison

Docker Swarm Visualizer	Helm
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.	Helm is the best way to find, share, and use software built for Kubernetes.
Statistics
Stacks 25	Stacks 1.4K
Followers 108	Followers 911
Votes 3	Votes 18
Pros & Cons
Pros 1 Reverse proxy support 1 Easy to deploy 1 Stateless	Pros 8 Infrastructure as code 6 Open source 2 Easy setup 1 Testability and reproducibility 1 Support
Integrations
Docker Docker Swarm	Docker Kubernetes

What are some alternatives to Docker Swarm Visualizer, Helm?

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.

Related Comparisons

Docker Swarm Visualizer vs Helm: What are the differences?

Scalability: Docker Swarm Visualizer is primarily used for visualizing the swarm in real-time, providing an overview of the containers running on the nodes. In contrast, Helm is a package manager for Kubernetes that simplifies the process of managing, deploying, and updating applications on a Kubernetes cluster. Helm focuses on simplifying the deployment of complex applications, while Docker Swarm Visualizer focuses on monitoring the swarm's state.
Compatibility: Docker Swarm Visualizer is specifically designed for Docker Swarm management and is not compatible with other container orchestration platforms like Kubernetes. On the other hand, Helm is tailored for Kubernetes deployments and does not work with Docker Swarm. It's essential to choose the right tool based on the orchestration platform being used.
Feature Set: Docker Swarm Visualizer offers a graphical representation of the Docker Swarm cluster, allowing users to interact with the containers and nodes visually. In comparison, Helm provides a templating system that enables users to define, install, and upgrade even the most complex Kubernetes applications consistently. The feature sets of both tools cater to different aspects of container orchestration and management.
Community Support: Helm has a more extensive and active community compared to Docker Swarm Visualizer, as Helm is widely adopted in the Kubernetes ecosystem. The community support for Helm is reflected in the vast number of charts available for various applications, making it easier for users to deploy applications on Kubernetes with Helm. Docker Swarm Visualizer, being more specific to Docker Swarm, has a smaller community base.
Deployment Process: Docker Swarm Visualizer is deployed as a standalone container in the Docker Swarm cluster, providing a visual representation of the swarm. In contrast, Helm is installed as a package manager on a client machine, enabling users to manage and deploy Kubernetes applications efficiently. The deployment process for each tool varies based on the platform and purpose.
Purpose: Docker Swarm Visualizer is primarily focused on monitoring and visualizing Docker Swarm clusters, providing insights into the state of containers and nodes. On the other hand, Helm is more about simplifying the deployment and management of applications on Kubernetes by using package management techniques and templates. Understanding the specific purpose of each tool is crucial in choosing the right tool for container orchestration tasks.

Docker Swarm Visualizer vs Helm

Overview