Infrastructure-related questions that might be interesting for internal dgraph management.
- What are your best practices for scaling dgraph clusters?
- How can autoscaling be properly achieved in a Kubernetes cluster?
- How are sharding and replication managed during scale-up?
- How are sharding and replication managed during scale-down?
- What are the best practices for data backup?
- Which system data are absolutely critical for restore points?
- What are the best practices for disaster recovery (i.e. what to do after a disaster happened)?
- What to do if there is data corruption in badger?
- Is an official integration with Datadog coming up (monitoring/tracing)?
- How does ludicrous mode work? When should it be used?