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  5. Docker Swarm Visualizer vs KubeAdvisor

Docker Swarm Visualizer vs KubeAdvisor

OverviewComparisonAlternatives

Overview

Docker Swarm Visualizer
Docker Swarm Visualizer
Stacks25
Followers108
Votes3
KubeAdvisor
KubeAdvisor
Stacks0
Followers3
Votes0

Docker Swarm Visualizer vs KubeAdvisor: What are the differences?

  1. Deployment Method: Docker Swarm Visualizer is deployed as a Docker container on any Docker Swarm cluster for visualization, while KubeAdvisor is specifically designed for Kubernetes clusters and is deployed as a Kubernetes native application.
  2. Monitoring Capabilities: Docker Swarm Visualizer provides a simple visual representation of Docker Swarm clusters, focusing more on the infrastructure level, while KubeAdvisor offers advanced monitoring tools with insights into application performance and resource utilization at the pod and container level.
  3. Auto-scaling Features: KubeAdvisor has built-in auto-scaling functionalities based on resource utilization metrics, allowing for automatic scaling of resources within Kubernetes clusters, whereas Docker Swarm Visualizer does not have native auto-scaling capabilities.
  4. Support for Multi-Cloud Environments: KubeAdvisor is designed to work seamlessly with multi-cloud environments, supporting various cloud providers for Kubernetes clusters, while Docker Swarm Visualizer is limited to Docker Swarm clusters and does not have the same level of compatibility with multi-cloud setups.
  5. Integration with CI/CD Systems: KubeAdvisor integrates with popular CI/CD systems like Jenkins and GitLab for seamless deployment and integration workflows within Kubernetes clusters, while Docker Swarm Visualizer lacks direct integrations with these systems for automated deployment processes.
  6. Community Support: Docker Swarm Visualizer is mainly community-driven, with limited enterprise support, while KubeAdvisor is backed by a larger community and is supported by major cloud service providers, offering comprehensive technical support and updates for Kubernetes cluster management.

In Summary, Docker Swarm Visualizer and KubeAdvisor differ in deployment methods, monitoring capabilities, auto-scaling features, support for multi-cloud environments, integration with CI/CD systems, and community support.

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Detailed Comparison

Docker Swarm Visualizer
Docker Swarm Visualizer
KubeAdvisor
KubeAdvisor

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 helps teams adopt best practices to accelerate the adoption of Kubernetes, and optimize their existing stack, with machine learning. It scans K8s to make infrastructure and cloud-native applications reliable, resilient, and observable.

-
Performance by continuously watching throttled containers/apps and recommending improvements; Utilization by comparing used resources with the available capacity to reallocate them based on variable workloads; Cost Optimization by suggesting changes at the VM level to save money in case of cloud infrastructure or identify the best configurations if you are running Kubernetes on-prem; Reliability by observing health probes, deployment configurations, Observability through a detailed analysis of the official cloud-native monitoring pipeline
Statistics
Stacks
25
Stacks
0
Followers
108
Followers
3
Votes
3
Votes
0
Pros & Cons
Pros
  • 1
    Easy to deploy
  • 1
    Stateless
  • 1
    Reverse proxy support
No community feedback yet
Integrations
Docker
Docker
Docker Swarm
Docker Swarm
Kubernetes
Kubernetes

What are some alternatives to Docker Swarm Visualizer, KubeAdvisor?

Kubernetes

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

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

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

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

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

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

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

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

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

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.

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