Open Adib234 opened 4 months ago
/prombench
This benchmark run compares this PR (https://github.com/GoogleCloudPlatform/prometheus/pull/189) with version v2.45.3-gmp.1-gke.0
of the GMP Collector.
After a successful deployment, the benchmarking results can be viewed on the Cloud Monitoring Dashboard.
To cancel or stop the benchmark run, comment /prombench cancel
on this PR.
/prombench cancel
Cancelling the benchmark run for this PR: #189.
/prombench
This benchmark run compares this PR (https://github.com/GoogleCloudPlatform/prometheus/pull/189) with version v2.45.3-gmp.1-gke.0
of the GMP Collector.
After a successful deployment, the benchmarking results can be viewed on the Cloud Monitoring Dashboard.
To cancel or stop the benchmark run, comment /prombench cancel
on this PR.
/prombench cancel
Cancelling the benchmark run for this PR: #189.
/prombench
This benchmark run compares this PR (https://github.com/GoogleCloudPlatform/prometheus/pull/189) with version v2.45.3-gmp.1-gke.0
of the GMP Collector.
After a successful deployment, the benchmarking results can be viewed on the Cloud Monitoring Dashboard.
To cancel or stop the benchmark run, comment /prombench cancel
on this PR.
/prombench
/prombench
This benchmark run compares this PR (https://github.com/GoogleCloudPlatform/prometheus/pull/189) with version v2.45.3-gmp.1-gke.0
of the GMP Collector.
After a successful deployment, the benchmarking results can be viewed on the Cloud Monitoring Dashboard.
To cancel or stop the benchmark run, comment /prombench cancel
on this PR. To view the results of the profiling process you can run the following commands.
gcloud container clusters get-credentials prombench --zone us-east4-a --project gpe-test-1 kubectl use-context gke_gpe-test-1_us-east4-a_prombench kubectl port-forward services/parca 31802:80
/prombench
This benchmark run compares this PR (https://github.com/GoogleCloudPlatform/prometheus/pull/189) with version v2.45.3-gmp.1-gke.0
of the GMP Collector.
After a successful deployment, the benchmarking results can be viewed on the Cloud Monitoring Dashboard.
To cancel or stop the benchmark run, comment /prombench cancel
on this PR.
To view the results of the profiling process you can run the following commands.
kubectl config use-context gke_gpe-test-1_us-east4-a_prombench
kubectl port-forward services/parca 31802:80```
/prombench cancel
This benchmark run compares this PR (https://github.com/GoogleCloudPlatform/prometheus/pull/189) with version v2.45.3-gmp.1-gke.0
of the GMP Collector.
After a successful deployment, the benchmarking results can be viewed on the Cloud Monitoring Dashboard.
To cancel or stop the benchmark run, comment /prombench cancel
on this PR.
To view the results of the profiling process you can run the following commands.
kubectl config use-context gke_gpe-test-1_us-east4-a_prombench
kubectl port-forward services/parca 31802:80```
/prombench cancel
Cancelling the benchmark run for this PR: #189.
/prombench
This benchmark run compares this PR (https://github.com/GoogleCloudPlatform/prometheus/pull/189) with version v2.45.3-gmp.1-gke.0
of the GMP Collector.
After a successful deployment, the benchmarking results can be viewed on the Cloud Monitoring Dashboard.
To cancel or stop the benchmark run, comment /prombench cancel
on this PR.
To view the results of the profiling process you can run the following commands.
gcloud container clusters get-credentials prombench --zone us-east4-a --project gpe-test-1
kubectl config use-context gke_gpe-test-1_us-east4-a_prombench
kubectl port-forward services/parca 31802:80
/prombench cancel
Cancelling the benchmark run for this PR: #189.
/prombench
This benchmark run compares this PR (https://github.com/GoogleCloudPlatform/prometheus/pull/189) with version v2.45.3-gmp.1-gke.0
of the GMP Collector.
After a successful deployment, the benchmarking results can be viewed on the Cloud Monitoring Dashboard.
To cancel or stop the benchmark run, comment /prombench cancel
on this PR.
To view the results of the profiling process you can run the following commands. After running the commands, go to to view your profiling results after a few minutes.
gcloud container clusters get-credentials prombench --zone us-east4-a --project gpe-test-1
kubectl config use-context gke_gpe-test-1_us-east4-a_prombench
kubectl port-forward services/parca 31802:80
/prombench cancel
Cancelling the benchmark run for this PR: #189.
/prombench
This benchmark run compares this PR (https://github.com/GoogleCloudPlatform/prometheus/pull/189) with version v2.45.3-gmp.1-gke.0
of the GMP Collector.
After a successful deployment, the benchmarking results can be viewed on the Cloud Monitoring Dashboard.
To cancel or stop the benchmark run, comment /prombench cancel
on this PR.
To view the results of the profiling process you can run the following commands. After running the commands, go to localhost:31802/profiles
to view your profiling results after a few minutes.
gcloud container clusters get-credentials prombench --zone us-east4-a --project gpe-test-1
kubectl config use-context gke_gpe-test-1_us-east4-a_prombench
kubectl port-forward services/parca 31802:80
/prombench cancel
Cancelling the benchmark run for this PR: #189.
/prombench
This benchmark run compares this PR (https://github.com/GoogleCloudPlatform/prometheus/pull/189) with version v2.45.3-gmp.1-gke.0
of the GMP Collector.
After a successful deployment, the benchmarking results can be viewed on the Cloud Monitoring Dashboard.
To cancel or stop the benchmark run, comment /prombench cancel
on this PR.
To view the results of the profiling process you can run the following commands. After running the commands, go to localhost:31802/profiles
to view your profiling results after a few minutes.
gcloud container clusters get-credentials prombench --zone us-east4-a --project gpe-test-1
kubectl config use-context gke_gpe-test-1_us-east4-a_prombench
kubectl port-forward services/parca 31802:80
/prombench cancel
Cancelling the benchmark run for this PR: #189.
/prombench
This benchmark run compares this PR (https://github.com/GoogleCloudPlatform/prometheus/pull/189) with version v2.45.3-gmp.1-gke.0
of the GMP Collector.
After a successful deployment, the benchmarking results can be viewed on the Cloud Monitoring Dashboard.
To cancel or stop the benchmark run, comment /prombench cancel
on this PR.
To view the results of the profiling process you can run the following commands. After running the commands, go to localhost:31802/profiles
to view your profiling results after a few minutes.
gcloud container clusters get-credentials prombench --zone us-east4-a --project gpe-test-1
kubectl config use-context gke_gpe-test-1_us-east4-a_prombench
kubectl port-forward services/parca 31802:80
Does the prombench benchmark cluster have to be running still?
Nope - kill it
/prombench cancel
Cancelling the benchmark run for this PR: #189.