Flocker vs Kind

Overview

Flocker

Stacks13

Followers59

Votes15

GitHub Stars3.4K

Forks288

Kind

Stacks28

Followers59

Votes0

GitHub Stars14.7K

Forks1.7K

Flocker vs Kind: What are the differences?

Flocker: Run your databases in Docker and make them as portable as the rest of your app. 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; Kind: Run local Kubernetes clusters using Docker. It is a tool for running local Kubernetes clusters using Docker container “nodes” It was primarily designed for testing Kubernetes itself, but may be used for local development or CI..

Flocker and Kind can be categorized as "Container" tools.

Flocker is an open source tool with 3.24K GitHub stars and 297 GitHub forks. Here's a link to Flocker's open source repository on GitHub.

Detailed Comparison

Flocker	Kind
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.	It is a tool for running local Kubernetes clusters using Docker container “nodes”. It was primarily designed for testing Kubernetes itself, but may be used for local development or CI.
Move containers and their data together between hosts Run multiple containers on multiple machines Define your application as a set of connected containers Easily move between dev, staging and production	Supports multi-node (including HA) clusters; Supports building Kubernetes release builds from source; Support for make / bash / docker, or bazel, in addition to pre-published builds; Supports Linux, macOS and Windows; It is a CNCF certified conformant Kubernetes installer
Statistics
GitHub Stars 3.4K	GitHub Stars 14.7K
GitHub Forks 288	GitHub Forks 1.7K
Stacks 13	Stacks 28
Followers 59	Followers 59
Votes 15	Votes 0
Pros & Cons
Pros 4 Open-Source 3 Easily manage Docker containers with Data 2 Easy setup 2 Great support from their team 2 Multi-host docker-compose support	No community feedback yet
Integrations
Amazon EC2 Amazon EBS Docker Mesosphere Kubernetes Docker Compose Docker Swarm CoreOS	Docker Kubernetes Bazel

What are some alternatives to Flocker, Kind?

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.