mayadata-io / mayadata-io/oep-e2e
use case: OLAP databases on k8s on AWS that dynamically provisions EBS volumes
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- Dominant language
- Python
- Stars
- 6
- Forks
- 10
- PR merge metrics
- No merged PRs in 30d
Description
I am running an OLAP database on K8s on AWS that dynamically provisions EBS volumes. Each volume is responsible for a shard of user data and I am looking to run around 100 volumes of 1TB each for a total database size of 100TB. What I don’t currently have is high availability. Would I get that by using OpenEBS? In other words, transparently to the dynamic volume provisioning process, I would have a RAID1 for each volume such that if one EBS disk fails, its mirror would continue to read/write without interruption of service (maybe with some degradation during resync after recovery). Can I use OpenEBS for this?
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
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- Fork the repository and make your change on a branch.
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Research direction
No files, tests, or entry points are mentioned. Start by reviewing OpenEBS documentation for Kubernetes dynamic provisioning with AWS EBS and the proposed replicated-volume setup. Done would be a clear, documented answer about whether this architecture provides uninterrupted service and how recovery behaves.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, kubernetes
- Domain
- cloud, databases, infrastructure
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100