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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Flux CD vs Makisu

Flux CD vs Makisu

OverviewComparisonAlternatives

Overview

Makisu
Makisu
Stacks7
Followers23
Votes0
Flux CD
Flux CD
Stacks81
Followers76
Votes1
GitHub Stars6.9K
Forks1.1K

Makisu vs Flux CD: What are the differences?

Developers describe Makisu as "🍣 Fast and flexible Docker image building tool, works in unprivileged containerized environments like Mesos & Kubernetes (by Uber)". Uber's core infrastructure team developed a pipeline that quickly and reliably generates Dockerfiles and builds application code into Docker images for Apache Mesos and Kubernetes-based container ecosystems. Giving back to the growing stack of microservice technologies, we open sourced its core component, Makisu, to enable other organizations to leverage the same benefits for their own architectures (more here: https://eng.uber.com/makisu/). On the other hand, Flux CD is detailed as "The GitOps operator for Kubernetes". It is a tool that automatically ensures that the state of your Kubernetes cluster matches the configuration you’ve supplied in Git. It uses an operator in the cluster to trigger deployments inside Kubernetes, which means that you don’t need a separate continuous delivery tool.

Makisu and Flux CD belong to "Container Tools" category of the tech stack.

Makisu is an open source tool with 2.04K GitHub stars and 114 GitHub forks. Here's a link to Makisu's open source repository on GitHub.

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Detailed Comparison

Makisu
Makisu
Flux CD
Flux CD

Uber's core infrastructure team developed a pipeline that quickly and reliably generates Dockerfiles and builds application code into Docker images for Apache Mesos and Kubernetes-based container ecosystems. Giving back to the growing stack of microservice technologies, we open sourced its core component, Makisu, to enable other organizations to leverage the same benefits for their own architectures (more here: https://eng.uber.com/makisu/).

It is a tool that automatically ensures that the state of your Kubernetes cluster matches the configuration you’ve supplied in Git. It uses an operator in the cluster to trigger deployments inside Kubernetes, which means that you don’t need a separate continuous delivery tool.

-
Describe the entire desired state of your system in Git. This includes apps, configuration, dashboards, monitoring, and everything else; Use YAML to enforce conformance to the declared system. You don’t need to run kubectl because all changes go through Git. Use diffing tools to detect divergence between observed and desired state and receive notifications; Everything is controlled through pull requests, which means no learning curve for new developers. Just use your standard PR process. Your Git history provides a sequence of transactions, allowing you to recover system state from any snapshot. Fix a production issue via pull request rather than making changes to the running system
Statistics
GitHub Stars
-
GitHub Stars
6.9K
GitHub Forks
-
GitHub Forks
1.1K
Stacks
7
Stacks
81
Followers
23
Followers
76
Votes
0
Votes
1
Pros & Cons
No community feedback yet
Pros
  • 1
    Open Source
Integrations
Apache Mesos
Apache Mesos
Kubernetes
Kubernetes
Docker
Docker
Git
Git
Kubernetes
Kubernetes
YAML
YAML

What are some alternatives to Makisu, Flux CD?

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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