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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Portainer vs kubernetes-deploy

Portainer vs kubernetes-deploy

OverviewComparisonAlternatives

Overview

Portainer
Portainer
Stacks506
Followers842
Votes146
kubernetes-deploy
kubernetes-deploy
Stacks11
Followers61
Votes0

Portainer vs kubernetes-deploy: What are the differences?

Introduction

When it comes to managing and deploying containerized applications, Portainer and kubernetes-deploy are two popular tools that provide different functionalities. Below are the key differences between Portainer and kubernetes-deploy.

  1. Architecture: One major difference between Portainer and kubernetes-deploy is in their respective architectures. Portainer is a container management tool that provides a simple and user-friendly interface for managing Docker containers, whereas kubernetes-deploy is specifically designed to deploy applications on Kubernetes clusters. Portainer focuses on the management of containers, while kubernetes-deploy is tailored for Kubernetes deployments.

  2. Scalability: Another significant difference is in terms of scalability. Portainer is suitable for small to medium-sized environments where the number of containers is limited, while kubernetes-deploy is built to handle large-scale deployments across multiple clusters. Kubernetes-deploy provides advanced features for managing complex Kubernetes deployments at scale, making it more suitable for enterprise-level applications with high scalability requirements.

  3. Feature Set: Portainer offers a comprehensive set of features for container management, including container monitoring, container deployment, and user access control. On the other hand, kubernetes-deploy provides advanced capabilities specifically for deploying applications on Kubernetes clusters, such as automated rollouts, versioning, and scalability options. The feature set of each tool is tailored to their respective purposes, catering to different needs within the container orchestration ecosystem.

  4. Ease of Use: Portainer is known for its ease of use and intuitive interface, making it accessible to users with limited experience in container management. In contrast, kubernetes-deploy requires a deeper understanding of Kubernetes concepts and terminology, as it is more focused on the deployment and management of applications within a Kubernetes environment. Kubernetes-deploy may have a steeper learning curve for users unfamiliar with Kubernetes.

  5. Integration: In terms of integration, Portainer can be used with various container runtimes, including Docker, Kubernetes, and others, providing flexibility in managing containers across different environments. On the other hand, kubernetes-deploy is tightly integrated with Kubernetes and is specifically designed to work with Kubernetes clusters. This difference in integration allows each tool to excel in its respective domain, offering optimized solutions for container management and Kubernetes deployments.

  6. Community Support: Portainer has a large and active community of users and contributors, providing extensive documentation, tutorials, and community-driven support for users. In contrast, kubernetes-deploy, being more specialized in its use case, may have a smaller community but offers targeted support for users deploying applications on Kubernetes clusters. Community support can play a crucial role in the adoption and successful implementation of these tools based on the specific requirements of users.

In Summary, Portainer excels in simplicity and user-friendly container management, whereas kubernetes-deploy is designed for advanced Kubernetes deployments with scalability and integration features.

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Detailed Comparison

Portainer
Portainer
kubernetes-deploy
kubernetes-deploy

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.

kubernetes-deploy is a command line tool that helps you ship changes to a Kubernetes namespace and understand the result. At Shopify, we use it within our much-beloved, open-source Shipit deployment app.

Docker management; Docker UI; Docker cluster management; Swarm visualizer; Authentication; User Access Control; Docker container management; Docker service management; Docker overview; Docker console; Docker swarm status; Docker image management; Docker network management; Docker dashboard; Remote HTTP API; Automation
-
Statistics
Stacks
506
Stacks
11
Followers
842
Followers
61
Votes
146
Votes
0
Pros & Cons
Pros
  • 36
    Simple
  • 27
    Great UI
  • 19
    Friendly
  • 12
    Easy to setup, gives a practical interface for Docker
  • 11
    Because it just works, super simple yet powerful
No community feedback yet
Integrations
Docker Swarm
Docker Swarm
Docker Secrets
Docker Secrets
Auth0
Auth0
Kubernetes
Kubernetes
Docker
Docker
Kubernetes
Kubernetes
Ruby
Ruby

What are some alternatives to Portainer, kubernetes-deploy?

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.

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.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

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