Does it help to deploy more than one temporal if w...
# ask-ai
s
Does it help to deploy more than one temporal if workers fail to sync?
k
A message from kapa.ai
No, deploying more than one Temporal instance is not the recommended solution for handling worker failures during sync. Instead, you should consider increasing the number of replicas for the
airbyte-worker
deployment and setting the values for
TEMPORAL_WORKER_PORTS
,
MAX_SPEC_WORKERS
,
MAX_CHECK_WORKERS
,
MAX_DISCOVER_WORKERS
, and
MAX_SYNC_WORKERS
variables in the worker pod deployment. This will help you manage the parallelism and resource allocation for your sync jobs more effectively [^1^]. [^1^]: https://airbytehq.slack.com/archives/C021JANJ6TY/p1677491714222019