Velero
Backup and restore Kubernetes resources and persistent volumes, perform disaster recovery, and migrate cluster resources across environments
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+ | Backup Clusters | Backup Kubernetes resources and volumes for an entire cluster or part of a cluster using namespaces or label selectors |
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+ | Disaster Recovery | Reduces time to recovery in case of infrastructure loss, data corruption, and/or service outages |
+ | Data Migration | Enables cluster portability by easily migrating Kubernetes resources from one cluster to another |
+ | Persistent Data Backup | Backup and restore applications’ persistent data alongside their configurations |
+ | Schedule Backups | Set schedules to automatically kickoff backups at recurring intervals |
+ | Backup Hooks | Configure pre and post-backup hooks to perform custom operations before and after backups |
+ | Cloud and On-Premises | Works both on premises and in a public cloud |
+ | Server Process | Consists of a server process running as a deployment in your Kubernetes cluster |
- | Scalability Challenges | May face difficulties when scaling up for larger projects, especially when moving into production environments |
- | Limited User Interface | Does not offer a centralized view or a self-service user interface, which can make managing backups and restores more complex |
- | Manual Customization | Integrating it into existing processes within an organization can require many manual workarounds, making it less straightforward to use |
- | Resource Intensive | Can be resource-intensive, which might impact the performance of the Kubernetes cluster it is running on |
- | Limited Support for Non-Kubernetes Environments | Specifically designed for Kubernetes environments, which limits its applicability to other container orchestration platforms |
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Developer
Written in
Go, Shell, HTML, SCSS, JavaScript
Initial Release
2 August 2017
Repository
License
Categories
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Cloud Computing
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No alternative software available under 'Disaster Recovery' category.
Cloud Computing
Infracost Terraform Apache Hadoop Apache Mahout Apache Spark