{{/* # Copyright (c) 2023 Deutsche Telekom # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License.. */}} lowercaseOutputName: true rules: # Special cases and very specific rules - pattern: kafka.server<>Value name: kafka_server_$1_$2 type: GAUGE labels: clientId: "$3" topic: "$4" partition: "$5" - pattern: kafka.server<>Value name: kafka_server_$1_$2 type: GAUGE labels: clientId: "$3" broker: "$4:$5" - pattern: kafka.server<>connections name: kafka_server_$1_connections_tls_info type: GAUGE labels: cipher: "$2" protocol: "$3" listener: "$4" networkProcessor: "$5" - pattern: kafka.server<>connections name: kafka_server_$1_connections_software type: GAUGE labels: clientSoftwareName: "$2" clientSoftwareVersion: "$3" listener: "$4" networkProcessor: "$5" - pattern: "kafka.server<>(.+):" name: kafka_server_$1_$4 type: GAUGE labels: listener: "$2" networkProcessor: "$3" - pattern: kafka.server<>(.+) name: kafka_server_$1_$4 type: GAUGE labels: listener: "$2" networkProcessor: "$3" # Some percent metrics use MeanRate attribute # Ex) kafka.server<>MeanRate - pattern: kafka.(\w+)<>MeanRate name: kafka_$1_$2_$3_percent type: GAUGE # Generic gauges for percents - pattern: kafka.(\w+)<>Value name: kafka_$1_$2_$3_percent type: GAUGE - pattern: kafka.(\w+)<>Value name: kafka_$1_$2_$3_percent type: GAUGE labels: "$4": "$5" # Generic per-second counters with 0-2 key/value pairs - pattern: kafka.(\w+)<>Count name: kafka_$1_$2_$3_total type: COUNTER labels: "$4": "$5" "$6": "$7" - pattern: kafka.(\w+)<>Count name: kafka_$1_$2_$3_total type: COUNTER labels: "$4": "$5" - pattern: kafka.(\w+)<>Count name: kafka_$1_$2_$3_total type: COUNTER # Generic gauges with 0-2 key/value pairs - pattern: kafka.(\w+)<>Value name: kafka_$1_$2_$3 type: GAUGE labels: "$4": "$5" "$6": "$7" - pattern: kafka.(\w+)<>Value name: kafka_$1_$2_$3 type: GAUGE labels: "$4": "$5" - pattern: kafka.(\w+)<>Value name: kafka_$1_$2_$3 type: GAUGE # Emulate Prometheus 'Summary' metrics for the exported 'Histogram's. # Note that these are missing the '_sum' metric! - pattern: kafka.(\w+)<>Count name: kafka_$1_$2_$3_count type: COUNTER labels: "$4": "$5" "$6": "$7" - pattern: kafka.(\w+)<>(\d+)thPercentile name: kafka_$1_$2_$3 type: GAUGE labels: "$4": "$5" "$6": "$7" quantile: "0.$8" - pattern: kafka.(\w+)<>Count name: kafka_$1_$2_$3_count type: COUNTER labels: "$4": "$5" - pattern: kafka.(\w+)<>(\d+)thPercentile name: kafka_$1_$2_$3 type: GAUGE labels: "$4": "$5" quantile: "0.$6" - pattern: kafka.(\w+)<>Count name: kafka_$1_$2_$3_count type: COUNTER - pattern: kafka.(\w+)<>(\d+)thPercentile name: kafka_$1_$2_$3 type: GAUGE labels: quantile: "0.$4"