Parca provides continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.
This operator builds a simple deployment of the Parca server and provides a relation interface such that it can be integrated with other Juju charms in a model.
You can deploy the operator as such:
# Deploy the charm
$ juju deploy parca-k8s --trust --channel edgeOnce the deployment is complete, grab the address of the Parca application:
$ juju show-unit parca-k8s/0 --format=json | jq -r '.["parca-k8s/0"]["public-address"]'Now visit: http://<parca-address>:7070/ to see the Parca dashboard.
By default, Parca will store profiles in memory. This is the current default, as the persistence settings are very new and prone to breaking! The default limit for in-memory storage is 4096MB. When Parca reaches that limit, profiles are purged.
The in-memory storage limit is configurable like so:
# Increase limit to 8192MB
$ juju config parca-k8s memory-storage-limit=8192If you wish to enable the experimental storage persistence, you can do as such:
$ juju config parca-k8s enable-persistence=true