Page Comparison

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NAME READY UP-TO-DATE AVAILABLE AGE
metrics-server 1/1 1 1 6d20h

Step 3: Installing and Setting Up the Prometheus Software and Adapter

You must install and set up the Prometheus Adapter software and adapter to track custom metrics. SnapLogic uses the kube-prometheus-stack package from the following sources:

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Installing the Prometheus Software

1. Install Prometheus Adapter software by deploying the following Helm Create the custom_values.yaml file.
   Code Block

   title	custom_values.yaml

   prometheus: service: type: LoadBalancer port: 80 # AWS EKS specific setting annotations: service.beta.kubernetes.io/aws-load-balancer-internal: "true" prometheusSpec: # Expose additional targets which can be discovered by Prometheus additionalScrapeConfigs: - job_name: 'snaplogic-snaplex-hpa-jcc-autoscale-metrics'

   1. The following example shows custom_values.yaml chart.

      Code Block

   NAME_SPACE=monitoring
   PROMETHEUS_VERSION=14.0.1
   PROM_RELEASE_NAME=prometheus
   
   # create namespace
   kubectl create namespace $NAME_SPACE
   # install Prometheus 
   helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
   helm install $PROM_RELEASE_NAME prometheus-community/kube-prometheus-stack --version $PROMETHEUS_VERSION --namespace $NAME_SPACE -f custom_values.yaml

   (Optional) Create your own namespace by adding the namespace entry into the following field.  
   prometheusSpec.additionalScrapeConfigs.kubernetes_sd_configs.namespaces.names
   The following example shows custom_values.yaml chart.

   1. title custom_values.yaml

      prometheus: service: type: LoadBalancer port: 80 # AWS EKS specific setting annotations: service.beta.kubernetes.io/aws-load-balancer-internal: "true" prometheusSpec: # Expose additional targets which can be discovered by Prometheus additionalScrapeConfigs: - job_name: 'snaplogic-snaplex-hpa-jcc-autoscale-metrics' scrape_interval: 15s metrics_path: '/autoscale_metrics' # default is metrics kubernetes_sd_configs: - role: pod namespaces: names: - default # If you install the Snaplex in your own namespace, you have to provide here. # - snaplogic scheme: https tls_config: insecure_skip_verify: true relabel_configs: - source_labels: [__meta_kubernetes_namespace] action: replace target_label: namespace - source_labels: [__meta_kubernetes_pod_name] action: replace target_label: pod - source_labels: [__address__] action: replace regex: ([^:]+)(?::\d+)? replacement: ${1}:8081 target_label: __address__ - source_labels: [__meta_kubernetes_pod_label_app_kubernetes_io_type] action: keep regex: jcc # Name for the Pod to match grafana: # set 'enabled: true' if you want to enable the Grafana dashboard enabled: false service: type: LoadBalancer port: 80 # AWS EKS specific setting annotations: service.beta.kubernetes.io/aws-load-balancer-internal: "true" alertmanager: enabled: false

      
      

   2. Create your own namespace by adding the namespace entry into the following field.  
      prometheusSpec.additionalScrapeConfigs.kubernetes_sd_configs.namespaces.names
In the custom_values.yaml Helm chart, the namespace is snaplogic; however, it is commented out in the chart. To use SnapLogic as your namespace, uncomment those lines:
      

      Code Block
      # If you install the Snaplex in your own namespace, you have to provide here. # - snaplogic

      
      

   
   

   
   

   
   

2. Install Prometheus software by deploying the following Helm chart.

   Code Block
   NAME_SPACE=monitoring PROMETHEUS_VERSION=14.0.1 PROM_RELEASE_NAME=prometheus # create namespace kubectl create namespace $NAME_SPACE # install Prometheus helm repo add prometheus-community https://prometheus-community.github.io/helm-charts helm install $PROM_RELEASE_NAME prometheus-community/kube-prometheus-stack --version $PROMETHEUS_VERSION --namespace $NAME_SPACE -f custom_values.yaml

   
   

3. Verify that the Prometheus and Grafana services by running the following command.
   $ kubectl get all -n monitoring
   

   Code Block

   NAME READY STATUS RESTARTS AGE pod/alertmanager-prometheus-kube-prometheus-alertmanager-0 2/2 Running 0 19m pod/prometheus-grafana-6f5448f95b-68zdt 2/2 Running 0 19m pod/prometheus-kube-prometheus-operator-8556f58759-tlxb8 1/1 Running 0 19m pod/prometheus-kube-state-metrics-6bfcd6f648-ckzf6 1/1 Running 0 19m pod/prometheus-prometheus-kube-prometheus-prometheus-0 2/2 Running 1 19m pod/prometheus-prometheus-node-exporter-fgc5x 1/1 Running 0 19m pod/prometheus-prometheus-node-exporter-r7dgf 1/1 Running 0 19m pod/prometheus-prometheus-node-exporter-rd8pz 1/1 Running 0 19m NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE service/alertmanager-operated ClusterIP None <none> 9093/TCP,9094/TCP,9094/UDP 19m service/prometheus-grafana LoadBalancer 10.100.153.99 internal-xxxx.us-west-2.elb.amazonaws.com 80:30324/TCP 19m service/prometheus-kube-prometheus-operator ClusterIP 10.100.234.140 <none> 443/TCP 19m service/prometheus-kube-prometheus-prometheus LoadBalancer 10.100.20.88 internal-xxxx.us-west-2.elb.amazonaws.com 80:31644/TCP 19m service/prometheus-kube-state-metrics ClusterIP 10.100.184.76 <none> 8080/TCP 19m service/prometheus-operated ClusterIP None <none> 9090/TCP 19m service/prometheus-prometheus-node-exporter ClusterIP 10.100.216.232 <none> 9100/TCP 19m NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE daemonset.apps/prometheus-prometheus-node-exporter 3 3 3 3 3 <none> 19m NAME scrape_interval: 15s READY metrics_path: '/autoscale_metrics' # default is metrics UP-TO-DATE AVAILABLE AGE deployment.apps/prometheus-grafana kubernetes_sd_configs: - role: pod 1/1 1 namespaces: 1 names: 19m deployment.apps/prometheus-kube-prometheus-operator 1/1 1 - default 1 19m # If you install the Snaplex in your own namespace, you have to provide here.deployment.apps/prometheus-kube-state-metrics 1/1 1 1 # - snaplogic 19m NAME scheme: https tls_config: insecure_skip_verify: true relabel_configs: - source_labels: [__meta_kubernetes_namespace] action: replace DESIRED CURRENT READY target_label: namespaceAGE replicaset.apps/prometheus-grafana-6f5448f95b - source_labels: [__meta_kubernetes_pod_name] 1 action: replace 1 target_label: pod 1 - source_labels: [__address__]19m replicaset.apps/prometheus-kube-prometheus-operator-8556f58759 1 action: replace1 1 regex: ([^:]+)(?::\d+)? 19m replicaset.apps/prometheus-kube-state-metrics-6bfcd6f648 replacement: ${1}:8081 1 target_label: __address__1 1 - source_labels: [__meta_kubernetes_pod_label_app_kubernetes_io_type] 19m NAME action: keep regex: jcc # Name for the Pod to match grafana: # set 'enabled: true' if you want to enable the Grafana dashboard enabled: false service: type: LoadBalancer port: 80 READY # AWS EKS specific settingAGE statefulset.apps/alertmanager-prometheus-kube-prometheus-alertmanager 1/1 annotations:19m statefulset.apps/prometheus-prometheus-kube-prometheus-prometheus service.beta.kubernetes.io/aws-load-balancer-internal: "true" alertmanager: enabled: false

   Verify that the Prometheus and Grafana services by running the following command.
   $ kubectl get all -n monitoring

   1/1 19m

   
   

4. Access the Prometheus and Grafana UIs with the respective IP addresses under the EXTERNAL-IP column.

5. 
   

Installing the Prometheus Adapter

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