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  1. Stackups
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  4. Container Tools
  5. Velero vs kubeadm-aws

Velero vs kubeadm-aws

OverviewComparisonAlternatives

Overview

kubeadm-aws
kubeadm-aws
Stacks2
Followers19
Votes0
GitHub Stars861
Forks56
Velero
Velero
Stacks28
Followers15
Votes0
GitHub Stars9.6K
Forks1.5K

Velero vs kubeadm-aws: What are the differences?

  1. Installation Process: Velero is an open-source tool that aids in backing up, restoring, and migrating Kubernetes resources and volumes. On the other hand, kubeadm-aws is a tool specifically designed to simplify the deployment of a Kubernetes cluster on AWS. While Velero focuses on data protection and management, kubeadm-aws streamlines the Kubernetes cluster setup process on AWS by automating various configuration steps.

  2. Backup and Restore Capabilities: Velero offers comprehensive backup and restore capabilities for Kubernetes resources, allowing users to easily recover from data loss or corruption. In contrast, kubeadm-aws does not have built-in backup and restore features but focuses on efficiently deploying and managing a Kubernetes cluster on AWS.

  3. Integration with Cloud Providers: Velero provides seamless integration with various cloud providers, allowing users to store backups in offsite locations for additional data protection. In contrast, kubeadm-aws is specifically tailored for AWS environments and optimizes the Kubernetes deployment process on this particular cloud platform.

  4. Configuration Flexibility: Velero offers users a high degree of configuration flexibility, allowing them to customize backup schedules, retention policies, and storage destinations according to their specific requirements. On the other hand, kubeadm-aws simplifies the Kubernetes cluster deployment process by providing predefined configurations that are optimized for AWS environments.

  5. Community Support and Documentation: Velero benefits from a vibrant community of users and contributors, providing ample resources, documentation, and support for troubleshooting and best practices. In comparison, kubeadm-aws may have more limited community support and documentation due to its specific focus on AWS deployments.

  6. Scalability and Performance: Velero is designed to scale efficiently with the size of the Kubernetes environment and offers robust performance for backup and restore operations. While kubeadm-aws can help streamline the initial setup of a Kubernetes cluster on AWS, its focus may not be on optimizing for scalability and performance in dynamic production environments.

In Summary, Velero and kubeadm-aws offer distinct functionalities, with Velero focusing on data protection and management for Kubernetes environments, while kubeadm-aws streamlines the deployment process on AWS.

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Detailed Comparison

kubeadm-aws
kubeadm-aws
Velero
Velero

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.

It is an open source tool to safely backup and restore, perform disaster recovery, and migrate Kubernetes cluster resources and persistent volumes.

Automatic backup and recovery; Automated provisioning; Variables; Auto Scaling of worker nodes; Persistent volumes
Take backups of your cluster and restore in case of loss; Migrate cluster resources to other clusters; Replicate your production cluster to development and testing clusters
Statistics
GitHub Stars
861
GitHub Stars
9.6K
GitHub Forks
56
GitHub Forks
1.5K
Stacks
2
Stacks
28
Followers
19
Followers
15
Votes
0
Votes
0
Integrations
Terraform
Terraform
Amazon EC2
Amazon EC2
NGINX
NGINX
Kubernetes
Kubernetes
AWS Elastic Load Balancing (ELB)
AWS Elastic Load Balancing (ELB)
Kubernetes
Kubernetes

What are some alternatives to kubeadm-aws, Velero?

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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