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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. AWS Controllers for Kubernetes vs Velero

AWS Controllers for Kubernetes vs Velero

OverviewComparisonAlternatives

Overview

Velero
Velero
Stacks28
Followers15
Votes0
GitHub Stars9.6K
Forks1.5K
AWS Controllers for Kubernetes
AWS Controllers for Kubernetes
Stacks4
Followers5
Votes0

AWS Controllers for Kubernetes vs Velero: What are the differences?

  1. Architecture: AWS Controllers for Kubernetes focuses on managing AWS resources directly from Kubernetes using Custom Resource Definitions (CRDs) and controllers, allowing seamless integration between Kubernetes clusters and AWS services. Velero, on the other hand, is a backup and restore tool that helps in taking snapshots of Kubernetes cluster resources and persistent volumes, enabling disaster recovery and migration capabilities.
  2. Use Case: AWS Controllers for Kubernetes is ideal for applications that heavily rely on AWS services for tasks such as storage, networking, databases, and more, integrating them with Kubernetes seamlessly. Velero, on the contrary, is more suited for backup and recovery use cases to safeguard Kubernetes cluster data and resources in case of failures, corruption, or accidental deletions.
  3. Control and Management: While AWS Controllers for Kubernetes offer direct control and management capabilities of AWS resources within Kubernetes environments, Velero primarily focuses on data protection and recovery, providing backup, restore, and migration functionalities for Kubernetes applications and resources.
  4. Integration with AWS Services: AWS Controllers for Kubernetes enables bi-directional synchronization with AWS services, constantly updating the status of resources within Kubernetes to match the actual state in AWS. Velero, however, operates independently of AWS services, focusing solely on backup and restore operations within Kubernetes clusters.
  5. Scaling and Automation: AWS Controllers for Kubernetes provides the ability to automatically manage and scale AWS resources based on Kubernetes workload demands, ensuring efficient resource utilization and dynamic scaling. Velero, in contrast, is more manual in nature and requires user intervention for initiating backup and recovery processes.
  6. Community Support and Adoption: The AWS Controllers for Kubernetes project is actively developed and supported by AWS with contributions from the Kubernetes community, ensuring ongoing improvements, updates, and compatibility with AWS services. Velero, while also well-maintained, mainly receives contributions and updates from the open-source community, providing a robust backup and recovery solution for Kubernetes users.

In Summary, the key differences between AWS Controllers for Kubernetes and Velero lie in their architectures, use cases, control and management capabilities, integration with AWS services, scaling and automation features, and the level of community support and adoption they receive.

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Detailed Comparison

Velero
Velero
AWS Controllers for Kubernetes
AWS Controllers for Kubernetes

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

It lets you define and use AWS service resources directly from Kubernetes. With ACK, you can take advantage of AWS managed services for your Kubernetes applications without needing to define resources outside of the cluster or run services that provide supporting capabilities like databases or message queues within the cluster.

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
Define and use AWS service resources directly from Kubernetes; Take advantage of AWS managed services for your Kubernetes applications
Statistics
GitHub Stars
9.6K
GitHub Stars
-
GitHub Forks
1.5K
GitHub Forks
-
Stacks
28
Stacks
4
Followers
15
Followers
5
Votes
0
Votes
0
Integrations
Kubernetes
Kubernetes
Kubernetes
Kubernetes

What are some alternatives to Velero, AWS Controllers for Kubernetes?

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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