Flocker vs Skaffold

Overview

Flocker

Stacks12

Followers59

Votes15

GitHub Stars3.4K

Forks288

Skaffold

Stacks86

Followers186

Votes0

Flocker vs Skaffold: What are the differences?

Developers describe Flocker as "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. On the other hand, Skaffold is detailed as "Easy and Repeatable Kubernetes Development". Skaffold is a command line tool that facilitates continuous development for Kubernetes applications. You can iterate on your application source code locally then deploy to local or remote Kubernetes clusters. Skaffold handles the workflow for building, pushing and deploying your application. It can also be used in an automated context such as a CI/CD pipeline to leverage the same workflow and tooling when moving applications to production.

Flocker and Skaffold can be primarily classified as "Container" tools.

Flocker and Skaffold are both open source tools. It seems that Skaffold with 7.16K GitHub stars and 589 forks on GitHub has more adoption than Flocker with 3.19K GitHub stars and 287 GitHub forks.

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Detailed Comparison

Flocker	Skaffold
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.	Skaffold is a command line tool that facilitates continuous development for Kubernetes applications. You can iterate on your application source code locally then deploy to local or remote Kubernetes clusters. Skaffold handles the workflow for building, pushing and deploying your application. It can also be used in an automated context such as a CI/CD pipeline to leverage the same workflow and tooling when moving applications to production.
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	No server-side component. No overhead to your cluster.;Detect changes in your source code and automatically build/push/deploy.;Image tag management. Stop worrying about updating the image tags in Kubernetes manifests to push out changes during development.;Supports existing tooling and workflows. Build and deploy APIs make each implementation composable to support many different workflows.;Support for multiple application components. Build and deploy only the pieces of your stack that have changed.;Deploy regularly when saving files or run one off deployments using the same configuration
Statistics
GitHub Stars 3.4K	GitHub Stars -
GitHub Forks 288	GitHub Forks -
Stacks 12	Stacks 86
Followers 59	Followers 186
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	Kubernetes Google Kubernetes Engine Docker

What are some alternatives to Flocker, Skaffold?

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.

Kitematic

Simple Docker App management for Mac OS X

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Flocker vs Skaffold