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Collecting metrics using Prometheus

LitmusChaos facilitates real-time monitoring for events and metrics using it’s native chaos exporter. These events and metrics can be exported into any TSDBs (Time-series databases) to overlay on top of application performance graphs and also as additional visualizations for chaos testing statistics. To set up or configure your monitoring infrastructure to support litmus chaos events and metrics, we provide both service endpoints and service monitors setup.

Before you begin​

The following should be required before integrating Prometheus in litmus 2.0:

Prometheus deployment with scrape job​

  • Clone the litmus repo
git clone https://github.com/litmuschaos/litmus.git
cd litmus/monitoring
  • Create monitoring namespace on the cluster
kubectl create ns monitoring
  • Deploy prometheus components
kubectl -n monitoring apply -f utils/prometheus/prometheus-scrape-configuration/
  • Deploy metrics exporters
kubectl -n monitoring apply -f utils/metrics-exporters/node-exporter/
kubectl -n monitoring apply -f utils/metrics-exporters/kube-state-metrics/
  • Deploy chaos-exporter when the cluster is not connected to litmus 2.0 control plane via litmus chaos delegate (exporter is installed as a part of the chaos delegate bundle)
kubectl -n litmus apply -f utils/metrics-exporters/litmus-metrics/chaos-exporter/

Sample scrape job

- job_name: 'chaos-exporter'
  static_configs:
    - targets: ['chaos-exporter.litmus.svc.cluster.local:8080']
  relabel_configs:
    - target_label: instance
      replacement: 'chaos-exporter-service'

Prometheus operator with service monitor​

  • Clone the litmus repo
git clone https://github.com/litmuschaos/litmus.git
cd litmus/monitoring
  • Create monitoring namespace on the cluster
kubectl create ns monitoring
  • Create the operator to instantiate all CRDs
kubectl -n monitoring apply -f utils/prometheus/prometheus-operator/
  • Deploy monitoring components
kubectl -n monitoring apply -f utils/metrics-exporters-with-service-monitors/node-exporter/
kubectl -n monitoring apply -f utils/metrics-exporters-with-service-monitors/kube-state-metrics/
  • Deploy chaos-exporter when the cluster is not connected to litmus 2.0 control plane via litmus chaos delegate (exporter is installed as a part of the chaos delegate bundle)
kubectl -n litmus apply -f utils/metrics-exporters-with-service-monitors/litmus-metrics/chaos-exporter/
  • Deploy prometheus instance and all the service monitors for targets
kubectl -n monitoring apply -f utils/prometheus/prometheus-configuration/

Sample service monitor

apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: chaos-exporter
  labels:
    k8s-app: chaos-exporter
  namespace: litmus
spec:
  jobLabel: app
  selector:
    matchLabels:
      app: chaos-exporter
  namespaceSelector:
    matchNames:
      - litmus
  endpoints:
    - port: tcp
      interval: 1s
      metricRelabelings:
        - targetLabel: instance
          replacement: 'chaos-exporter-service'

Prometheus community version (helm) - kube-prometheus-stack with pod monitor​

  • Clone the litmus repo
git clone https://github.com/litmuschaos/litmus.git
cd litmus/monitoring
  • Deploy chaos-exporter when the cluster is not connected to litmus 2.0 control plane via litmus chaos delegate (exporter is installed as a part of the chaos delegate bundle)
kubectl -n litmus apply -f utils/metrics-exporters/litmus-metrics/chaos-exporter/
  • Create monitoring namespace on the cluster
kubectl create ns monitoring
  • Install prometheus via helm
helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
helm repo update
helm install prom prometheus-community/kube-prometheus-stack --namespace monitoring
  • Create the pod monitor as specified
apiVersion: monitoring.coreos.com/v1
kind: PodMonitor
metadata:
  name: chaos-exporter-monitor
  namespace: monitoring
  labels:
    release: prometheus-stack
spec:
  selector:
    matchLabels:
      app: chaos-exporter
  namespaceSelector:
    matchNames:
      - litmus
  podMetricsEndpoints:
    - port: tcp
    - interval: 1s
      metricRelabelings:
        - targetLabel: instance
          replacement: 'chaos-exporter-service'

Prometheus alertmanager for generating alerts for experiment results​

Prometheus alerts can be triggered on alertmanager based on chaos experiment verdicts, probe success percentage and related metadata on the metric litmuschaos_experiment_verdict from chaos-exporter

Link: https://github.com/litmuschaos/tutorials/issues/6

promProbe for prometheus metrics​

The promProbe allows users to run Prometheus queries and match the resulting output against specific conditions. The intent behind this probe is to allow users to define metrics-based SLOs in a declarative way and determine the experiment verdict based on its success. The probe runs the query on a Prometheus server defined by the endpoint, and checks whether the output satisfies the specified criteria.

Know more on promProbe here

Resources​

Learn More​