The storage system is designed to have a standardized REST API at https://perfdata.golang.org/, and we encourage additional analysis tools to be written against the API. An example client can be found in the perfdata package.
Both storage and analysis can be run locally; the following commands will run the complete stack on your machine with an in-memory datastore.
To run the storage system:
$ go install golang.org/x/build/perfdata/localperfdata@latest $ localperfdata -addr=:8081 -view_url_base=http://localhost:8080/search?q=upload: &
To run the analysis frontend:
$ make docker-prod $ docker run --rm --net=host gcr.io/symbolic-datum-552/perf:latest -listen-http=:8080 -perfdata=http://localhost:8081
Browse to https://localhost:8080 (note that the instance uses a self-signed certificate).
To run the analysis frontend connected to a local InfluxDB instance, first follow the instructions to set one up. Then, run the above command but with the
-influx-token flags set to their appropriate values (as specified by the InfluxDB setup instructions).
Send an HTTP request to https://localhost:8080/cron/sync-influx to sync the local instances together.
a. Create GCP service account:
$ gcloud iam service-accounts create perf-prod \ --description="Runs golang.org/x/build/perf"
c. Allow Kubernetes service account (created by deployment-prod.yaml) to impersonate the GCP service account:
$ gcloud iam service-accounts add-iam-policy-binding \ perf-prod@<PROJECT>.iam.gserviceaccount.com \ --role roles/iam.workloadIdentityUser \ --member "serviceAccount:<PROJECT>.svc.id.goog[prod/perf-prod]"
See the documentation on deployment.