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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Helm Charts
  5. Helm vs Velero

Helm vs Velero

OverviewComparisonAlternatives

Overview

Helm
Helm
Stacks1.4K
Followers911
Votes18
Velero
Velero
Stacks28
Followers15
Votes0
GitHub Stars9.6K
Forks1.5K

Helm vs Velero: What are the differences?

Introduction:

Helm and Velero are both popular tools in the Kubernetes ecosystem, but they serve different purposes and have distinct features. Understanding the key differences between Helm and Velero can help users decide which tool is more suited to their specific needs.

1. Installation and Deployment Methodology: One major difference between Helm and Velero is their installation and deployment methodology. Helm is used for deploying and managing applications on Kubernetes utilizing charts, which are packaged applications as Helm charts. On the other hand, Velero is a backup and restore tool for Kubernetes resources, ensuring data protection and disaster recovery.

2. Use Case Focus: Helm mainly focuses on application packaging, deployment, and management, providing a convenient way to define, install, and upgrade applications on Kubernetes. In contrast, Velero is dedicated to data protection, backup, and disaster recovery management, ensuring the resiliency of your Kubernetes resources in case of failures.

3. Resource Management: While Helm deals with managing application configurations and releases, Velero focuses on backing up and restoring Kubernetes resources such as pods, persistent volumes, namespaces, and more. This distinction in resource management makes Helm ideal for application lifecycle operations and Velero ideal for data protection and restoration.

4. Dependency Management: Helm supports dependency management within charts, allowing users to define dependencies between different resources for an application deployment. Velero, on the other hand, does not inherently support dependency management as its primary function revolves around backup and restore operations rather than inter-resource dependencies.

5. Extensibility and Ecosystem: Helm has a larger ecosystem with a wide variety of community-contributed charts available for various applications and services, making it easier for users to adopt and deploy applications. Velero, while focused on backup and restore operations, may have a narrower scope in terms of ecosystem extensions and community contributions.

6. Scalability and Performance: In terms of scalability and performance, Helm excels in managing application deployments at scale while providing efficient rollback and upgrade mechanisms. Velero, on the other hand, is optimized for ensuring data integrity and recoverability, making it a crucial tool for disaster recovery scenarios.

In Summary, understanding the key differences between Helm and Velero helps users determine which tool aligns better with their specific requirements, whether focused on application deployment and management with Helm or data protection and recovery with Velero in Kubernetes environments.

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Detailed Comparison

Helm
Helm
Velero
Velero

Helm is the best way to find, share, and use software built for Kubernetes.

It is an open source tool to safely backup and restore, perform disaster recovery, and migrate Kubernetes cluster resources and 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
-
GitHub Stars
9.6K
GitHub Forks
-
GitHub Forks
1.5K
Stacks
1.4K
Stacks
28
Followers
911
Followers
15
Votes
18
Votes
0
Pros & Cons
Pros
  • 8
    Infrastructure as code
  • 6
    Open source
  • 2
    Easy setup
  • 1
    Testa­bil­i­ty and re­pro­ducibil­i­ty
  • 1
    Support
No community feedback yet
Integrations
Docker
Docker
Kubernetes
Kubernetes
Kubernetes
Kubernetes

What are some alternatives to Helm, 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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