Pipeline count metrics not correct

[ykoyfman]

/kind bug

What steps did you take and what happened:

Enabled metrics collection with

kubectl set env -n kubeflow deploy/ml-pipeline collectMetricsFlag=true

We're seeing our pipeline metrics not reflect the number of pipelines (and are often negative) - e.g. currently it's showing

# HELP pipeline_server_pipeline_count The current number of pipelines in Kubeflow Pipelines instance
# TYPE pipeline_server_pipeline_count gauge

pipeline_server_pipeline_count -77

When we have 13 pipelines.

What did you expect to happen:

Metric to accurately reflect pipeline counts after multiple adds/deletions.

Additional information: [Miscellaneous information that will assist in solving the issue.]

Environment:

OpenShift 4.10 installed from https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.2.0/kfp-tekton.yaml

• Python Version (use python --version):
• SDK Version:
• Tekton Version (use tkn version):

  Client version: 0.23.1
  Pipeline version: v0.35.0
  Triggers version: v0.19.1
  Dashboard version: v0.26.0

• Kubernetes Version (use kubectl version):

  Server Version: version.Info{Major:"1", Minor:"23", GitVersion:"v1.23.5+9ce5071", GitCommit:"3c28e7a79b58e78b4c1dc1ab7e5f6c6c2d3aedd3", GitTreeState:"clean", BuildDate:"2022-04-04T17:59:32Z", GoVersion:"go1.17.5", Compiler:"gc", Platform:"linux/amd64"}

• OS (e.g. from /etc/os-release):

[Tomcli]

The problem is that the metric value only incremented during pipeline create and pipeline upload. We need to make sure the metrics is reflecting the accurate number. https://github.com/kubeflow/kfp-tekton/blob/9307b361fcc005c7fc7b2c7376426f8a5a4ad01d/backend/src/apiserver/server/pipeline_server.go#L143-L145

[ykoyfman]

@Tomcli Any updates on prioritizing this fix? Thanks!