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

AWS Copilot vs Velero

OverviewComparisonAlternatives

Overview

Velero
Velero
Stacks28
Followers15
Votes0
GitHub Stars9.6K
Forks1.5K
AWS Copilot
AWS Copilot
Stacks13
Followers21
Votes0
GitHub Stars3.7K
Forks435

AWS Copilot vs Velero: What are the differences?

Introduction:

1. Deployment and Management: AWS Copilot simplifies the process of deploying and managing containerized applications through its CLI tool, providing a high-level abstraction for tasks like creating environments, services, and environments. Velero, on the other hand, focuses on backup, migration, and disaster recovery for Kubernetes clusters, offering tools to backup and restore resources.

2. Availability: AWS Copilot is specifically designed for AWS services, allowing seamless integration and interaction with various AWS resources like ECS, ECR, and Fargate. Velero, being a Kubernetes-focused tool, can be used with any cloud provider or on-premises Kubernetes cluster, offering flexibility in multi-cloud environments.

3. Use Case: AWS Copilot is more suitable for developers and teams looking for a simple and efficient way to deploy and manage containerized applications on AWS infrastructure. Velero, on the other hand, caters to organizations with complex Kubernetes deployments requiring robust backup and recovery functionalities.

4. Pricing: AWS Copilot is a free, open-source tool provided by AWS, making it cost-effective for users who are already utilizing AWS services. Velero, while also open-source, may involve additional costs depending on the storage solutions used for backups and the infrastructure where it is deployed.

5. Community Support: AWS Copilot benefits from the support and resources of the AWS community, providing access to a wide range of documentation, tutorials, and forums. Velero, being a CNCF project, has a diverse community backing it up, offering scalability and a collaborative environment for users seeking assistance or contributing to the project.

6. Integration with Third-Party Tools: AWS Copilot integrates seamlessly with other AWS services and tools, facilitating the incorporation of various resources into the deployment workflow. Velero supports third-party plugins and extensions, enhancing its capabilities for backup and recovery tasks with additional functionalities provided by the community.

In Summary, AWS Copilot and Velero differ in deployment and management focus, availability, use case suitability, pricing implications, community support, and integration possibilities with third-party tools.

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Detailed Comparison

Velero
Velero
AWS Copilot
AWS Copilot

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

It is a tool for developers to develop, release, and operate production-ready containerized applications on Amazon ECS. From getting started, pushing to staging and releasing to production, Copilot can help manage the entire lifecycle of your application development.

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
Organize all your related micro-services in one application; Set up test and production environments, across regions and accounts; Set up production-ready, scalable ECS services and infrastructure; Set up CI/CD Pipelines for all of the micro-services; Monitor and debug your services from your terminal
Statistics
GitHub Stars
9.6K
GitHub Stars
3.7K
GitHub Forks
1.5K
GitHub Forks
435
Stacks
28
Stacks
13
Followers
15
Followers
21
Votes
0
Votes
0
Integrations
Kubernetes
Kubernetes
Linux
Linux
AWS Fargate
AWS Fargate
macOS
macOS

What are some alternatives to Velero, AWS Copilot?

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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