Monitoring⚓︎

This documentation describes how to integrate tekton-pipelines metrics with Prometheus and Grafana monitoring stack.

Prerequisites⚓︎

Ensure the following requirements are met first before moving ahead:

Kube prometheus stack is installed;
Tekton pipeline is installed.

Create and Apply the Additional Scrape Config⚓︎

To create and apply the additional scrape config, follow the steps below:

Create the kubernetes secret file with the additional scrape config:

additional-scrape-configs.yaml file

apiVersion: v1
kind: Secret
metadata:
  name: additional-scrape-configs
stringData:
  prometheus-additional-job.yaml: |
    - job_name: "tekton-pipelines"
      scrape_interval: 30s
      static_configs:
      - targets: ["tekton-pipelines-controller.<tekton-pipelines-namespace>.svc.cluster.local:9090"]

Apply the created secret:

kubectl apply -f additional-scrape-configs.yaml -n <monitoring-namespace>

Update the prometheus stack:

helm update --install prometheus prometheus-community/kube-prometheus-stack --values values.yaml -n <monitoring-namespace>

The values.yaml file should have the following contents:

values.yaml file

prometheus:
  prometheusSpec:
    additionalScrapeConfigsSecret:
      enabled: true
      name: additional-scrape-configs
      key: prometheus-additional-job.yaml

Download the EDP Tekton Pipeline dashboard:

Import Grafana dashboard

a. Click on the dashboard menu;

b. In the dropdown menu, click the + Import button;

c. Select the created edp-tekton-overview_rev1.json file;

Import Grafana dashboard: Options

d. Type the name of the dashboard;

e. Select the folder for the dashboard;

f. Type the UID (set of eight numbers or letters and symbols);

g. Click the Import button.

As soon as the dashboard procedure is completed, you can track the newcoming metrics in the dashboard menu:

Monitoring⚓︎

Prerequisites⚓︎

Create and Apply the Additional Scrape Config⚓︎

Related Articles⚓︎