Docker Swarm Visualizer vs Pixie

Overview

Docker Swarm Visualizer

Stacks25

Followers108

Votes3

Pixie

Stacks10

Followers17

Votes0

Docker Swarm Visualizer vs Pixie: What are the differences?

Deployment Method: Docker Swarm Visualizer is deployed as a service within Docker Swarm, providing a real-time visualization of a Swarm cluster. On the other hand, Pixie is deployed as a Kubernetes-native service and provides observability and troubleshooting capabilities specifically tailored for Kubernetes clusters.
Monitoring Capabilities: Docker Swarm Visualizer focuses on visualizing the Swarm cluster, displaying the services, nodes, and containers. In contrast, Pixie offers advanced monitoring features such as live debugging, deep system insights, and automatic dependency mapping within a Kubernetes environment.
Scalability: Docker Swarm Visualizer is limited to visualizing clusters within Docker Swarm, whereas Pixie is designed to scale seamlessly within large Kubernetes clusters, handling complex microservices architectures and large-scale applications.
Integration with Third-Party Tools: Docker Swarm Visualizer has limited integration capabilities with external tools and services, as it is tightly coupled with Docker Swarm. Pixie, on the other hand, offers extensive integrations with popular monitoring and alerting tools, enhancing its functionality and versatility in a Kubernetes ecosystem.
Real-time Data Analysis: Pixie excels in providing real-time data analysis and insights into Kubernetes clusters, empowering users with the ability to troubleshoot and optimize application performance on the fly. Docker Swarm Visualizer, while providing real-time visualization, lacks the in-depth data analysis capabilities offered by Pixie.
Community Support and Updates: Pixie benefits from the strong Kubernetes community support and regular updates, ensuring that the tool remains up-to-date with the latest trends and developments in the Kubernetes ecosystem. Docker Swarm Visualizer, being more focused on Docker Swarm, may have slower updates and fewer community resources available for support.

In Summary, Docker Swarm Visualizer is a visualization tool for Docker Swarm clusters, while Pixie is an observability platform tailored for Kubernetes environments, offering advanced monitoring, scalability, integration capabilities, real-time data analysis, and strong community support.

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CLI (Node.js)

Manual

Detailed Comparison

Docker Swarm Visualizer	Pixie
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 gives instant, programmatic and unified access to application performance data and signals without needing to change code, configure manual GUIs or move data off-cluster. Application-developers, Platform/Infra engineers and DevOps/SREs use Pixie to efficiently run a wide range of analyses.
-	Dynamic Logging; Service Health; Infra Health; CI Build Health
Statistics
Stacks 25	Stacks 10
Followers 108	Followers 17
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	Kubernetes Google Kubernetes Engine minikube Azure Kubernetes Service Amazon EKS

What are some alternatives to Docker Swarm Visualizer, Pixie?

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 Pixie: What are the differences?

Deployment Method: Docker Swarm Visualizer is deployed as a service within Docker Swarm, providing a real-time visualization of a Swarm cluster. On the other hand, Pixie is deployed as a Kubernetes-native service and provides observability and troubleshooting capabilities specifically tailored for Kubernetes clusters.
Monitoring Capabilities: Docker Swarm Visualizer focuses on visualizing the Swarm cluster, displaying the services, nodes, and containers. In contrast, Pixie offers advanced monitoring features such as live debugging, deep system insights, and automatic dependency mapping within a Kubernetes environment.
Scalability: Docker Swarm Visualizer is limited to visualizing clusters within Docker Swarm, whereas Pixie is designed to scale seamlessly within large Kubernetes clusters, handling complex microservices architectures and large-scale applications.
Integration with Third-Party Tools: Docker Swarm Visualizer has limited integration capabilities with external tools and services, as it is tightly coupled with Docker Swarm. Pixie, on the other hand, offers extensive integrations with popular monitoring and alerting tools, enhancing its functionality and versatility in a Kubernetes ecosystem.
Real-time Data Analysis: Pixie excels in providing real-time data analysis and insights into Kubernetes clusters, empowering users with the ability to troubleshoot and optimize application performance on the fly. Docker Swarm Visualizer, while providing real-time visualization, lacks the in-depth data analysis capabilities offered by Pixie.
Community Support and Updates: Pixie benefits from the strong Kubernetes community support and regular updates, ensuring that the tool remains up-to-date with the latest trends and developments in the Kubernetes ecosystem. Docker Swarm Visualizer, being more focused on Docker Swarm, may have slower updates and fewer community resources available for support.

Docker Swarm Visualizer vs Pixie

Overview