Setup performance metrics collection for PM Mapper

Pre-requisites

trust.pass

trust.jks.b64

jks.pass

cert.jks.b64

pmm.yaml
apiVersion: apps/v1 kind: Deployment metadata: name: pmmapper spec: selector: matchLabels: run: pmmapper replicas: 1 template: metadata: labels: run: pmmapper spec: containers: - name: pmmapper image: "nexus3.onap.org:10001/onap/org.onap.dcaegen2.services.pm-mapper:<CHANGE THIS TO YOUR VERSION>" env: - name: CONFIG_BINDING_SERVICE_SERVICE_HOST value: $(SIMULATOR_SERVICE_HOST) - name: CONFIG_BINDING_SERVICE_SERVICE_PORT value: $(SIMULATOR_SERVICE_PORT) - name: HOSTNAME value: "pm-mapper" ports: - containerPort: 8081 volumeMounts: - name: config-volume mountPath: /opt/app/pm-mapper/etc/cert/PM Mapper initial performance metrics volumes: - name: config-volume configMap: name: pmmapper-config



metadata.json
{"productName": "ACME_Node","vendorName": "ACME Corp","lastEpochMicrosec": "1538478000000","sourceName": "some source","startEpochMicrosec": "1538478900000","timeZoneOffset": "UTC+01:00","location": "ftpes://somelocation:22/ftp/rop/somefile.xml.gz","compression": "gzip","fileFormatType": "org.3GPP.32.435#measCollec","fileFormatVersion": "V9"}



testmapperperformance.sh
#!/bin/bash rm ~/perfresults LOOPCOUNT=$1 for i in $(seq 1 $LOOPCOUNT) do START=$(date +%s) echo "Performance test run#$i(of $LOOPCOUNT)" python3 ~/delivery.py -w 10 -n 750 -r -i -H "X-DMAAP-DR-PUBLISH-ID:1" -H "X-DMAAP-DR-META:@metadata.json" -d @APM.xml -m put http://127.0.0.1:31196/delivery/APM.xml -v END=$(date +%s) secs=$(expr $END - $START) echo $secs >> ~/perfresults if (($i < $LOOPCOUNT));then echo "Finished performance test run#$i(of $LOOPCOUNT), resting for a bit.." #sleep 13 fi done echo $(awk '{s+=$1} END {print s/NR}' ~/perfresults | awk '{print int($1+0.5)}') >> ~/perftotaltime TOTAL=$(tail -n 1 ~/perftotaltime) TOTALTIME=$(printf '%dh:%dm:%ds\n' $(($TOTAL/3600)) $(($TOTAL%3600/60)) $(($TOTAL%60))) echo "Average time($LOOPCOUNT runs)is: $TOTALTIME"



1.Deploy the simulator.

kubectl  run simulator image=iamaim/simulator-perf:1.0.0 --replicas=1 --port=8888
kubectl expose deployment simulator --type=NodePort --port=8888 --target-port=8888 --name=simulator

2. Deploy pmmapper.

kubectl create configmap pmmapper-config --from-file=cert.jks.b64 --from-file=jks.pass --from- file=trust.jks.b64 --from-file=trust.pass

kubectl apply -f pmm.yaml

kubectl expose deployment pmmapper --type=NodePort --port=8081 --target-port=8081 --name=pmmapper

3.Run testmapperperformance.sh





View your Grafana Dashboard and fine tune the view to get the cpu/memory and other useful metrics for the pmmapper pod.