Introduction

ArangoDB is a multi-model database that supports document, key-value, and graph data models within a single engine.
Prometheus can monitor these components by scraping metrics they expose, providing insights into cluster health, performance, and system status.

Steps to Configure

Step 1: Check for Existing ConfigMap

Run the following command to see if the opsramp-workload-metric-user-config ConfigMap already exists:

kubectl get configmap opsramp-workload-metric-user-config -n <agent-installed-namespace>

Step 2: Create a New ConfigMap (if not available)

If this is your first setup, create a workload-master ConfigMap. Use the following template and update it as per your workload requirements:

apiVersion: v1
kind: ConfigMap
metadata:
  name: opsramp-workload-metric-user-config
  namespace: opsramp-agent
data:
  workloads: |
    arangodb/prometheus:
    - name: arangodb
      collectionFrequency: 59s
      port: 8529
      userName: "root"
      password: ""
      userRelabelConfigs:
        - regex: "rocksdb_cache_edge_inserts_total"
          action: "include"
        - regex: "rocksdb_cache_active_tables"
          action: "include"
        - regex: "arangodb_aql_cursors_active"
          action: "include"
      targetPodSelector:
        matchLabels:
          - key: role
            operator: ==
            value:

Step 3: Apply the ConfigMap

kubectl apply -f <path-to-your-manifest-file>

Step 4: Verify in OpsRamp Portal

After a few minutes, check metrics in the OpsRamp Portal > Dashboards > Dashboard.

Step 5: Set Up Alerts and Availability Rules

Once metrics are visible, you can configure alerts and availability rules in the OpsRamp portal. Edit the relevant ConfigMaps to adjust workload or application-specific monitoring.

Supported Metrics

Supported metrics for this workload as provided by the Kubernetes 2.0 Agent.