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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Kubernetes vs Lagoon

Kubernetes vs Lagoon

OverviewComparisonAlternatives

Overview

Kubernetes
Kubernetes
Stacks61.2K
Followers52.8K
Votes685
Lagoon
Lagoon
Stacks6
Followers7
Votes0

Kubernetes vs Lagoon: What are the differences?

Introduction:

Kubernetes and Lagoon are both popular platforms used for managing and deploying applications, but they have some key differences. In this article, we will explore the main differences between Kubernetes and Lagoon and discuss their specific features and functionalities.

  1. Deployment Model: Kubernetes is a container orchestration platform that allows for the deployment and management of containerized applications across clusters of nodes. It provides a flexible and scalable infrastructure for running applications in a production environment. On the other hand, Lagoon is a platform as a service (PaaS) solution that is built on top of Kubernetes. It abstracts away the complexities of managing Kubernetes directly and provides a simplified interface for deploying and managing applications.

  2. Ease of Use and Management: Kubernetes is known for its complexity and steep learning curve. It requires a deep understanding of the underlying infrastructure and components, such as pods, services, and deployments. Lagoon, on the other hand, offers a more user-friendly and intuitive interface for managing applications. It simplifies the deployment process and provides a centralized control panel for managing various aspects of the application lifecycle.

  3. Scalability and High Availability: Kubernetes is designed to provide high scalability and availability for applications by automatically scaling resources up and down based on demand. It offers features like auto-scaling, rolling updates, and load balancing. Lagoon also provides scalability and high availability features, but it leverages the underlying capabilities of Kubernetes to achieve this. It allows for easy scaling of resources and provides built-in load balancing and automated deployment strategies.

  4. Supported Environments: Kubernetes is a platform-agnostic solution and supports a wide range of cloud providers and infrastructure platforms. It can be deployed on public clouds like AWS, Azure, and GCP, as well as on-premises infrastructure. Lagoon, on the other hand, is primarily designed for deploying applications on the Acquia Cloud platform. It provides tight integration with Acquia's infrastructure and tools, making it a preferred choice for Drupal and WordPress applications hosted on Acquia Cloud.

  5. Community and Ecosystem Support: Kubernetes has a large and active community, with a vast ecosystem of tools and plugins developed by various organizations and vendors. It enjoys widespread adoption and has extensive documentation and support resources available. Lagoon, while not as widely adopted as Kubernetes, has a growing community and an ecosystem of plugins and integrations tailored specifically for Acquia Cloud. It benefits from Acquia's expertise in Drupal and WordPress development and provides specialized features for these platforms.

  6. Cost and Pricing: Kubernetes is open-source and available free of charge. However, setting up and managing a Kubernetes cluster can be resource-intensive and may require additional investment in infrastructure and maintenance. Lagoon, on the other hand, is offered as a managed service on Acquia Cloud. It comes with a cost associated with the Acquia Cloud platform and its additional features and support.

In summary, Kubernetes is a powerful container orchestration platform that offers flexibility and scalability but requires more technical expertise to manage. Lagoon, on the other hand, is a PaaS solution built on top of Kubernetes, providing a simplified interface and tailored features for application deployment on Acquia Cloud.

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Detailed Comparison

Kubernetes
Kubernetes
Lagoon
Lagoon

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.

It solves what developers are dreaming about: A system that allows developers to locally develop their code and their services with Docker and run the exact same system in production. The same Docker images, the same service configurations and the same code.

Lightweight, simple and accessible;Built for a multi-cloud world, public, private or hybrid;Highly modular, designed so that all of its components are easily swappable
Docker;CI/CD;Kubernetes;Containers
Statistics
Stacks
61.2K
Stacks
6
Followers
52.8K
Followers
7
Votes
685
Votes
0
Pros & Cons
Pros
  • 166
    Leading docker container management solution
  • 130
    Simple and powerful
  • 108
    Open source
  • 76
    Backed by google
  • 58
    The right abstractions
Cons
  • 16
    Steep learning curve
  • 15
    Poor workflow for development
  • 8
    Orchestrates only infrastructure
  • 4
    High resource requirements for on-prem clusters
  • 2
    Too heavy for simple systems
No community feedback yet
Integrations
Vagrant
Vagrant
Docker
Docker
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Google Compute Engine
Google Compute Engine
Ansible
Ansible
Google Kubernetes Engine
Google Kubernetes Engine
Docker
Docker
Laravel
Laravel
New Relic
New Relic
Python
Python
WordPress
WordPress
PHP
PHP
Jenkins
Jenkins
Magento
Magento
Drupal
Drupal
Travis CI
Travis CI

What are some alternatives to Kubernetes, Lagoon?

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.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

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