Kubeadm AWS vs Weave

Overview

Weave

Stacks50

Followers72

Votes7

kubeadm-aws

Stacks2

Followers19

Votes0

GitHub Stars861

Forks56

Kubeadm AWS vs Weave: What are the differences?

Installation Method: The key difference between Kubeadm AWS and Weave is the installation method they use. Kubeadm AWS is a tool focused on simplifying the process of setting up Kubernetes clusters on AWS, leveraging Kubernetes' kubeadm tool. On the other hand, Weave is a networking solution for Kubernetes that can be installed as an add-on after setting up the cluster with tools like kubeadm.
Features: Kubeadm AWS primarily focuses on cluster setup and management, providing a streamlined process to get Kubernetes up and running on AWS. In contrast, Weave offers advanced networking features such as network policies, service mesh, and monitoring capabilities to enhance the functionality of Kubernetes clusters.
Resource Usage: Kubeadm AWS is lightweight and minimalistic in its resource usage, making it suitable for smaller deployments or test environments. Weave, with its additional networking features and functionality, may consume more resources compared to Kubeadm AWS, especially in larger production environments.
Community Support: Kubeadm AWS benefits from the large Kubernetes community and ecosystem, which ensures continuous development, updates, and support. Weave also has a dedicated community backing its networking solutions but may have a smaller user base compared to Kubeadm AWS.
Integration with AWS Services: As the name suggests, Kubeadm AWS is specifically tailored for setting up Kubernetes clusters on AWS, allowing seamless integration with various AWS services and resources. Weave, while compatible with AWS deployments, focuses more on networking functionalities and may not offer the same level of integration with AWS services as Kubeadm AWS.
Ease of Use: Kubeadm AWS is designed for simplicity and ease of use, making it a preferred choice for users looking for a straightforward Kubernetes deployment on AWS. Weave, with its advanced networking features, may require more configuration and setup, making it suitable for users with more specific networking requirements.

In Summary, Kubeadm AWS simplifies Kubernetes cluster setup on AWS with a focus on ease of use, while Weave offers advanced networking capabilities and features but may require more resources and configuration.

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CLI (Node.js)

Manual

Detailed Comparison

Weave	kubeadm-aws
Weave can traverse firewalls and operate in partially connected networks. Traffic can be encrypted, allowing hosts to be connected across an untrusted network. With weave you can easily construct applications consisting of multiple containers, running anywhere.	Bash and Terraform code which provisions affordable single master Kubernetes cluster on AWS. You can run a 1 master, 1 worker cluster for somewhere around $6 a month.
Virtual Ethernet Switch;Application isolation;Security;Host network integration;Service export;Service import;Multi-cloud networking;Multi-hop routing;Dynamic topologies;Container mobility;Fault tolerance	Automatic backup and recovery; Automated provisioning; Variables; Auto Scaling of worker nodes; Persistent volumes
Statistics
GitHub Stars -	GitHub Stars 861
GitHub Forks -	GitHub Forks 56
Stacks 50	Stacks 2
Followers 72	Followers 19
Votes 7	Votes 0
Pros & Cons
Pros 3 Easy setup 3 Seamlessly with mesos/marathon 1 Seamless integration with application layer	No community feedback yet
Integrations
Docker boot2docker	Terraform Amazon EC2 NGINX Kubernetes AWS Elastic Load Balancing (ELB)

What are some alternatives to Weave, kubeadm-aws?

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.

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.

Related Comparisons

Kubeadm AWS vs Weave: What are the differences?

Installation Method: The key difference between Kubeadm AWS and Weave is the installation method they use. Kubeadm AWS is a tool focused on simplifying the process of setting up Kubernetes clusters on AWS, leveraging Kubernetes' kubeadm tool. On the other hand, Weave is a networking solution for Kubernetes that can be installed as an add-on after setting up the cluster with tools like kubeadm.
Features: Kubeadm AWS primarily focuses on cluster setup and management, providing a streamlined process to get Kubernetes up and running on AWS. In contrast, Weave offers advanced networking features such as network policies, service mesh, and monitoring capabilities to enhance the functionality of Kubernetes clusters.
Resource Usage: Kubeadm AWS is lightweight and minimalistic in its resource usage, making it suitable for smaller deployments or test environments. Weave, with its additional networking features and functionality, may consume more resources compared to Kubeadm AWS, especially in larger production environments.
Community Support: Kubeadm AWS benefits from the large Kubernetes community and ecosystem, which ensures continuous development, updates, and support. Weave also has a dedicated community backing its networking solutions but may have a smaller user base compared to Kubeadm AWS.
Integration with AWS Services: As the name suggests, Kubeadm AWS is specifically tailored for setting up Kubernetes clusters on AWS, allowing seamless integration with various AWS services and resources. Weave, while compatible with AWS deployments, focuses more on networking functionalities and may not offer the same level of integration with AWS services as Kubeadm AWS.
Ease of Use: Kubeadm AWS is designed for simplicity and ease of use, making it a preferred choice for users looking for a straightforward Kubernetes deployment on AWS. Weave, with its advanced networking features, may require more configuration and setup, making it suitable for users with more specific networking requirements.

Kubeadm AWS vs Weave

Overview