Comments (2)
From a GKE autoscaling perspective, we can consider:
- 1 Large Task gets a single node for processing
- Multiple small tasks can run multiple pods on a single node
Also handy resource: https://medium.com/google-cloud/scale-your-kubernetes-cluster-to-almost-zero-with-gke-autoscaler-9c78051cbf40
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Tagging 'celery' because I think we can use built-in functionality for this
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Related Issues (20)
- Web UI FR: Sort Tasks HOT 3
- jobs_completed_total counter not covering all job completions HOT 3
- Coin miner domain and wallet extraction HOT 4
- Web UI FR: Graph view showing lifecycle of a processing request
- Get Dependency Graph and Task Config for each Task HOT 4
- Pydantic JSON method no longer supports keyword arguments HOT 1
- Web UI surface API errors to the user
- turbinia-client status summary formatting warning
- Create templates to help standardize issue submissions HOT 1
- Fix API server tests HOT 1
- Manage outstanding tasks after server restart HOT 1
- Review Python dependencies requirements HOT 2
- [FR]: AWS EBS pre-processor HOT 1
- [FR]: Azure disk pre-processor HOT 1
- [Bug]: Metrics type Gauge resets to 0 when Pods are killed/re-started
- [FR]: Avoid saving Plaso files with no events to task results
- [Bug]: API server request summary evidence_name empty HOT 1
- [FR]: Create RedisStateManager unit tests HOT 1
- [FR]: Re-write the docker job container code HOT 2
- [FR]: Update README.md with new client info HOT 1
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