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Rashmi Pujar

Rashmi Pujar

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MetricMetric available?Exposed via Prometheus endpoint?Comment
Availability of policy-apex-pdpYesNo

Exposed by policy-apex-pdp healthcheck and policy-pap consolidated healthcheck.

Policy Deployment counter (per apex-pdp instance)

policyDeployCount
policyDeploySuccessCount
policyDeployFailCount

YesNo

Exposed by policy-pap statistics

Code Block
titleGET /policy/pap/v1/statistics/defaultGroup/apex
collapsetrue
{
  "defaultGroup": {
    "apex": [
      {
        "pdpInstanceId": "devdev-policy-apex-pdp-0",
        "timeStamp": "2021-09-07T20:10:52.242Z",
        "pdpGroupName": "defaultGroup",
        "pdpSubGroupName": "apex",
        "policyDeployCount": 2,
        "policyDeploySuccessCount": 2,
        "policyDeployFailCount": 0,
        "policyExecutedCount": 0,
        "policyExecutedSuccessCount": 0,
        "policyExecutedFailCount": 0,
        "engineStats": [
          {
            "engineId": "NSOApexEngine-0:0.0.1",
            "engineWorkerState": "READY",
            "engineTimeStamp": 1630550345549,
            "eventCount": 0,
            "lastExecutionTime": 0,
            "averageExecutionTime": 0,
            "upTime": 0,
            "lastEnterTime": 0,
            "lastStart": 1630550345549
          },
          ......
        ]
      }
    ]
  }
}






Policy Execution counter (per apex-pdp instance)

# of policies executed
# of policies executed with success status
# of policies executed with a failure status

*Note: the stats currently displays APEX policy counters

NoNo

Engine stats (by engineID per apex-pdp instance)

eventCount: number of APEX events processed
engineWorkerState: possible values defined in AxEngineState
upTime: time that has elapsed since the policy engine was started
averageExecutionTime: average time taken to process an APEX policy
lastExecutionTime: time taken to process the last APEX policy
lastStart: time at which the policy engine was last started

YesNo

Count of events processed (per engine thread, per apex-pdp instance)

#  of incoming trigger events processed by policy-apex-pdp
# of incoming trigger events processed successfully by policy-apex-pdp
# of incoming trigger events processed by policy-apex-pdp that resulted in a failure

*Note: the stats currently displays APEX event counters processed by the engine

NoNo

Latency

NoNo

Time taken for processing an incoming network trigger event by a TOSCA policy

*Note: the stats currently displays execution time for processing APEX policy.

Kafka consumer lag

NoNo

Can be implemented outside of the Policy FWK.

Monitor kafka consumer lag increase for kafka/dmaap-message-router topics related to apex-pdp

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