Replicas
Replica concepts, topology changes, and how Parix models cluster scale today.
Parix models scale through cluster topology and provider replica metadata.
Replica model
Provider metadata tracks replica-specific details such as:
- replica index
- machine or instance identity
- runtime state
- volume or disk identity
- private or internal addresses
This is how the control plane reconstructs topology-aware views for metrics, logs, and cluster details.
How scale changes happen
Replica count is not edited independently from the rest of cluster shape. Instead, operators select a new cluster configuration in the Instances tab and the control plane resolves:
- target node count
- target size variant
- implied monthly profile cost
The upgrade workflow then chooses whether the rollout is:
- rolling in place
- backup-driven migration on GCP when topology changes require a new replica set
- blocked on AWS for topology changes until restore-backed migration exists
Operational consequences
- replica-aware views depend on durable provider metadata being current
- topology changes are visible only after workflow convergence into durable state
- GCP topology changes preserve data by restoring a fresh backup into the target shape, but the database is unavailable during cutover
- allocation history is still the billing-facing history of effective cluster shape
Current product limits
Scaling behavior should be understood within current product scope:
- no cross-region replication
- no multi-region HA
- no dedicated public replica-management API