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  5. Google Container-optimized OS vs Lando

Google Container-optimized OS vs Lando

OverviewComparisonAlternatives

Overview

Lando
Lando
Stacks89
Followers63
Votes4
GitHub Stars4.2K
Forks530
Google Container-optimized OS
Google Container-optimized OS
Stacks2
Followers1
Votes0

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Detailed Comparison

Lando
Lando
Google Container-optimized OS
Google Container-optimized OS

It's a free, open source, cross-platform, local development environment and DevOps tool built on Docker container technology and developed by Tandem. Designed to work with most major languages, frameworks and services, it provides an easy way for developers of all skill levels to specify simple or complex requirements for their projects, and then quickly get to work on them.

It is an operating system image for your Compute Engine VMs that is optimized for running Docker containers. Container-Optimized OS is maintained by Google and based on the open source Chromium OS project. With Container-Optimized OS, you can bring up your Docker containers on Google Cloud Platform quickly, efficiently, and securely.

Mimicking your production environment locally; Integrating with hosting providers like Pantheon; Running CI tests locally, running local tests in CI
Run containers out of the box; Smaller attack surface; Locked-down by default; Automatic Updates
Statistics
GitHub Stars
4.2K
GitHub Stars
-
GitHub Forks
530
GitHub Forks
-
Stacks
89
Stacks
2
Followers
63
Followers
1
Votes
4
Votes
0
Pros & Cons
Pros
  • 2
    Open source
  • 2
    Multi containers
No community feedback yet
Integrations
Linux
Linux
Drupal
Drupal
WordPress
WordPress
Windows
Windows
Mac OS X
Mac OS X
Joomla!
Joomla!
Docker
Docker

What are some alternatives to Lando, Google Container-optimized OS?

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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