|
| 1 | +kind: ConfigMap |
| 2 | +metadata: |
| 3 | + name: broker-cruise-control-config |
| 4 | + namespace: kafka |
| 5 | +apiVersion: v1 |
| 6 | +data: |
| 7 | + cruisecontrol.properties: |- |
| 8 | + # |
| 9 | + # Copyright 2017 LinkedIn Corp. Licensed under the BSD 2-Clause License (the "License"). See License in the project root for license information. |
| 10 | + # |
| 11 | +
|
| 12 | + # This is an example property file for Kafka Cruise Control. See KafkaCruiseControlConfig for more details. |
| 13 | +
|
| 14 | + # Configuration for the metadata client. |
| 15 | + # ======================================= |
| 16 | +
|
| 17 | + # The Kafka cluster to control. |
| 18 | + bootstrap.servers=bootstrap:9092 |
| 19 | +
|
| 20 | + # The maximum interval in milliseconds between two metadata refreshes. |
| 21 | + #metadata.max.age.ms=300000 |
| 22 | +
|
| 23 | + # Client id for the Cruise Control. It is used for the metadata client. |
| 24 | + #client.id=kafka-cruise-control |
| 25 | +
|
| 26 | + # The size of TCP send buffer bytes for the metadata client. |
| 27 | + #send.buffer.bytes=131072 |
| 28 | +
|
| 29 | + # The size of TCP receive buffer size for the metadata client. |
| 30 | + #receive.buffer.bytes=131072 |
| 31 | +
|
| 32 | + # The time to wait before disconnect an idle TCP connection. |
| 33 | + #connections.max.idle.ms=540000 |
| 34 | +
|
| 35 | + # The time to wait before reconnect to a given host. |
| 36 | + #reconnect.backoff.ms=50 |
| 37 | +
|
| 38 | + # The time to wait for a response from a host after sending a request. |
| 39 | + #request.timeout.ms=30000 |
| 40 | +
|
| 41 | +
|
| 42 | + # Configurations for the load monitor |
| 43 | + # ======================================= |
| 44 | +
|
| 45 | + # The number of metric fetcher thread to fetch metrics for the Kafka cluster |
| 46 | + num.metric.fetchers=1 |
| 47 | +
|
| 48 | + # The metric sampler class |
| 49 | + metric.sampler.class=com.linkedin.kafka.cruisecontrol.monitor.sampling.CruiseControlMetricsReporterSampler |
| 50 | + # Configurations for CruiseControlMetricsReporterSampler |
| 51 | + metric.reporter.topic.pattern=__CruiseControlMetrics |
| 52 | +
|
| 53 | + # The sample store class name |
| 54 | + sample.store.class=com.linkedin.kafka.cruisecontrol.monitor.sampling.KafkaSampleStore |
| 55 | +
|
| 56 | + # The config for the Kafka sample store to save the partition metric samples |
| 57 | + partition.metric.sample.store.topic=__KafkaCruiseControlPartitionMetricSamples |
| 58 | +
|
| 59 | + # The config for the Kafka sample store to save the model training samples |
| 60 | + broker.metric.sample.store.topic=__KafkaCruiseControlModelTrainingSamples |
| 61 | +
|
| 62 | + # The replication factor of Kafka metric sample store topic |
| 63 | + sample.store.topic.replication.factor=2 |
| 64 | +
|
| 65 | + # The config for the number of Kafka sample store consumer threads |
| 66 | + num.sample.loading.threads=8 |
| 67 | +
|
| 68 | + # The partition assignor class for the metric samplers |
| 69 | + metric.sampler.partition.assignor.class=com.linkedin.kafka.cruisecontrol.monitor.sampling.DefaultMetricSamplerPartitionAssignor |
| 70 | +
|
| 71 | + # The metric sampling interval in milliseconds |
| 72 | + metric.sampling.interval.ms=120000 |
| 73 | +
|
| 74 | + # The partition metrics window size in milliseconds |
| 75 | + partition.metrics.window.ms=300000 |
| 76 | +
|
| 77 | + # The number of partition metric windows to keep in memory |
| 78 | + num.partition.metrics.windows=1 |
| 79 | +
|
| 80 | + # The minimum partition metric samples required for a partition in each window |
| 81 | + min.samples.per.partition.metrics.window=1 |
| 82 | +
|
| 83 | + # The broker metrics window size in milliseconds |
| 84 | + broker.metrics.window.ms=300000 |
| 85 | +
|
| 86 | + # The number of broker metric windows to keep in memory |
| 87 | + num.broker.metrics.windows=20 |
| 88 | +
|
| 89 | + # The minimum broker metric samples required for a partition in each window |
| 90 | + min.samples.per.broker.metrics.window=1 |
| 91 | +
|
| 92 | + # The configuration for the BrokerCapacityConfigFileResolver (supports JBOD and non-JBOD broker capacities) |
| 93 | + capacity.config.file=config/capacity.json |
| 94 | + #capacity.config.file=config/capacityJBOD.json |
| 95 | +
|
| 96 | + # Configurations for the analyzer |
| 97 | + # ======================================= |
| 98 | +
|
| 99 | + # The list of goals to optimize the Kafka cluster for with pre-computed proposals |
| 100 | + default.goals=com.linkedin.kafka.cruisecontrol.analyzer.goals.RackAwareGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.ReplicaCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.DiskCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.NetworkInboundCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.NetworkOutboundCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.CpuCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.ReplicaDistributionGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.PotentialNwOutGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.DiskUsageDistributionGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.NetworkInboundUsageDistributionGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.NetworkOutboundUsageDistributionGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.CpuUsageDistributionGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.TopicReplicaDistributionGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.LeaderBytesInDistributionGoal |
| 101 | +
|
| 102 | + # The list of supported goals |
| 103 | + goals=com.linkedin.kafka.cruisecontrol.analyzer.goals.RackAwareGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.ReplicaCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.DiskCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.NetworkInboundCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.NetworkOutboundCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.CpuCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.ReplicaDistributionGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.PotentialNwOutGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.DiskUsageDistributionGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.NetworkInboundUsageDistributionGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.NetworkOutboundUsageDistributionGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.CpuUsageDistributionGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.TopicReplicaDistributionGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.LeaderBytesInDistributionGoal,com.linkedin.kafka.cruisecontrol.analyzer.kafkaassigner.KafkaAssignerDiskUsageDistributionGoal,com.linkedin.kafka.cruisecontrol.analyzer.kafkaassigner.KafkaAssignerEvenRackAwareGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.PreferredLeaderElectionGoal |
| 104 | +
|
| 105 | + # The list of supported hard goals |
| 106 | + hard.goals=com.linkedin.kafka.cruisecontrol.analyzer.goals.RackAwareGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.ReplicaCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.DiskCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.NetworkInboundCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.NetworkOutboundCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.CpuCapacityGoal |
| 107 | +
|
| 108 | + # The minimum percentage of well monitored partitions out of all the partitions |
| 109 | + min.monitored.partition.percentage=0.95 |
| 110 | +
|
| 111 | + # The balance threshold for CPU |
| 112 | + cpu.balance.threshold=1.1 |
| 113 | +
|
| 114 | + # The balance threshold for disk |
| 115 | + disk.balance.threshold=1.1 |
| 116 | +
|
| 117 | + # The balance threshold for network inbound utilization |
| 118 | + network.inbound.balance.threshold=1.1 |
| 119 | +
|
| 120 | + # The balance threshold for network outbound utilization |
| 121 | + network.outbound.balance.threshold=1.1 |
| 122 | +
|
| 123 | + # The balance threshold for the replica count |
| 124 | + replica.count.balance.threshold=1.1 |
| 125 | +
|
| 126 | + # The capacity threshold for CPU in percentage |
| 127 | + cpu.capacity.threshold=0.8 |
| 128 | +
|
| 129 | + # The capacity threshold for disk in percentage |
| 130 | + disk.capacity.threshold=0.8 |
| 131 | +
|
| 132 | + # The capacity threshold for network inbound utilization in percentage |
| 133 | + network.inbound.capacity.threshold=0.8 |
| 134 | +
|
| 135 | + # The capacity threshold for network outbound utilization in percentage |
| 136 | + network.outbound.capacity.threshold=0.8 |
| 137 | +
|
| 138 | + # The threshold to define the cluster to be in a low CPU utilization state |
| 139 | + cpu.low.utilization.threshold=0.0 |
| 140 | +
|
| 141 | + # The threshold to define the cluster to be in a low disk utilization state |
| 142 | + disk.low.utilization.threshold=0.0 |
| 143 | +
|
| 144 | + # The threshold to define the cluster to be in a low network inbound utilization state |
| 145 | + network.inbound.low.utilization.threshold=0.0 |
| 146 | +
|
| 147 | + # The threshold to define the cluster to be in a low disk utilization state |
| 148 | + network.outbound.low.utilization.threshold=0.0 |
| 149 | +
|
| 150 | + # The metric anomaly percentile upper threshold |
| 151 | + metric.anomaly.percentile.upper.threshold=90.0 |
| 152 | +
|
| 153 | + # The metric anomaly percentile lower threshold |
| 154 | + metric.anomaly.percentile.lower.threshold=10.0 |
| 155 | +
|
| 156 | + # How often should the cached proposal be expired and recalculated if necessary |
| 157 | + proposal.expiration.ms=60000 |
| 158 | +
|
| 159 | + # The maximum number of replicas that can reside on a broker at any given time. |
| 160 | + max.replicas.per.broker=10000 |
| 161 | +
|
| 162 | + # The number of threads to use for proposal candidate precomputing. |
| 163 | + num.proposal.precompute.threads=1 |
| 164 | +
|
| 165 | + # the topics that should be excluded from the partition movement. |
| 166 | + #topics.excluded.from.partition.movement |
| 167 | +
|
| 168 | + # Configurations for the executor |
| 169 | + # ======================================= |
| 170 | +
|
| 171 | + # The zookeeper connect of the Kafka cluster |
| 172 | + zookeeper.connect=zookeeper:2181 |
| 173 | +
|
| 174 | + # The max number of partitions to move in/out on a given broker at a given time. |
| 175 | + num.concurrent.partition.movements.per.broker=10 |
| 176 | +
|
| 177 | + # The interval between two execution progress checks. |
| 178 | + execution.progress.check.interval.ms=10000 |
| 179 | +
|
| 180 | +
|
| 181 | + # Configurations for anomaly detector |
| 182 | + # ======================================= |
| 183 | +
|
| 184 | + # The goal violation notifier class |
| 185 | + anomaly.notifier.class=com.linkedin.kafka.cruisecontrol.detector.notifier.SelfHealingNotifier |
| 186 | +
|
| 187 | + # The metric anomaly finder class |
| 188 | + metric.anomaly.finder.class=com.linkedin.kafka.cruisecontrol.detector.KafkaMetricAnomalyFinder |
| 189 | +
|
| 190 | + # The anomaly detection interval |
| 191 | + anomaly.detection.interval.ms=10000 |
| 192 | +
|
| 193 | + # The goal violation to detect. |
| 194 | + anomaly.detection.goals=com.linkedin.kafka.cruisecontrol.analyzer.goals.RackAwareGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.ReplicaCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.DiskCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.NetworkInboundCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.NetworkOutboundCapacityGoal,com.linkedin.kafka.cruisecontrol.analyzer.goals.CpuCapacityGoal |
| 195 | +
|
| 196 | + # The interested metrics for metric anomaly analyzer. |
| 197 | + metric.anomaly.analyzer.metrics=BROKER_PRODUCE_LOCAL_TIME_MS_MAX,BROKER_PRODUCE_LOCAL_TIME_MS_MEAN,BROKER_CONSUMER_FETCH_LOCAL_TIME_MS_MAX,BROKER_CONSUMER_FETCH_LOCAL_TIME_MS_MEAN,BROKER_FOLLOWER_FETCH_LOCAL_TIME_MS_MAX,BROKER_FOLLOWER_FETCH_LOCAL_TIME_MS_MEAN,BROKER_LOG_FLUSH_TIME_MS_MAX,BROKER_LOG_FLUSH_TIME_MS_MEAN |
| 198 | +
|
| 199 | + # The zk path to store failed broker information. |
| 200 | + failed.brokers.zk.path=/CruiseControlBrokerList |
| 201 | +
|
| 202 | + # Topic config provider class |
| 203 | + topic.config.provider.class=com.linkedin.kafka.cruisecontrol.config.KafkaTopicConfigProvider |
| 204 | +
|
| 205 | + # The cluster configurations for the KafkaTopicConfigProvider |
| 206 | + cluster.configs.file=config/clusterConfigs.json |
| 207 | +
|
| 208 | + # Enable self healing for all anomaly detectors, unless the particular anomaly detector is explicitly disabled |
| 209 | + self.healing.enabled=true |
| 210 | +
|
| 211 | + # Enable self healing for broker failure detector |
| 212 | + #self.healing.broker.failure.enabled=true |
| 213 | +
|
| 214 | + # Enable self healing for goal violation detector |
| 215 | + #self.healing.goal.violation.enabled=true |
| 216 | +
|
| 217 | + # Enable self healing for metric anomaly detector |
| 218 | + #self.healing.metric.anomaly.enabled=true |
| 219 | +
|
| 220 | + capacityJBOD.json: |- |
| 221 | + { |
| 222 | + "brokerCapacities":[ |
| 223 | + { |
| 224 | + "brokerId": "-1", |
| 225 | + "capacity": { |
| 226 | + "DISK": {"/tmp/kafka-logs-1": "100000", "/tmp/kafka-logs-2": "100000", "/tmp/kafka-logs-3": "50000", |
| 227 | + "/tmp/kafka-logs-4": "50000", "/tmp/kafka-logs-5": "150000", "/tmp/kafka-logs-6": "50000"}, |
| 228 | + "CPU": "100", |
| 229 | + "NW_IN": "10000", |
| 230 | + "NW_OUT": "10000" |
| 231 | + }, |
| 232 | + "doc": "The default capacity for a broker with multiple logDirs each on a separate heterogeneous disk." |
| 233 | + }, |
| 234 | + { |
| 235 | + "brokerId": "0", |
| 236 | + "capacity": { |
| 237 | + "DISK": {"/tmp/kafka-logs": "500000"}, |
| 238 | + "CPU": "100", |
| 239 | + "NW_IN": "50000", |
| 240 | + "NW_OUT": "50000" |
| 241 | + }, |
| 242 | + "doc": "This overrides the capacity for broker 0. This broker is not a JBOD broker." |
| 243 | + }, |
| 244 | + { |
| 245 | + "brokerId": "1", |
| 246 | + "capacity": { |
| 247 | + "DISK": {"/tmp/kafka-logs-1": "250000", "/tmp/kafka-logs-2": "250000"}, |
| 248 | + "CPU": "100", |
| 249 | + "NW_IN": "50000", |
| 250 | + "NW_OUT": "50000" |
| 251 | + }, |
| 252 | + "doc": "This overrides the capacity for broker 1. This broker is a JBOD broker." |
| 253 | + } |
| 254 | + ] |
| 255 | + } |
| 256 | +
|
| 257 | + capacity.json: |- |
| 258 | + { |
| 259 | + "brokerCapacities":[ |
| 260 | + { |
| 261 | + "brokerId": "-1", |
| 262 | + "capacity": { |
| 263 | + "DISK": "100000", |
| 264 | + "CPU": "100", |
| 265 | + "NW_IN": "10000", |
| 266 | + "NW_OUT": "10000" |
| 267 | + }, |
| 268 | + "doc": "This is the default capacity. Capacity unit used for disk is in MB, cpu is in percentage, network throughput is in KB." |
| 269 | + }, |
| 270 | + { |
| 271 | + "brokerId": "0", |
| 272 | + "capacity": { |
| 273 | + "DISK": "500000", |
| 274 | + "CPU": "100", |
| 275 | + "NW_IN": "50000", |
| 276 | + "NW_OUT": "50000" |
| 277 | + }, |
| 278 | + "doc": "This overrides the capacity for broker 0." |
| 279 | + } |
| 280 | + ] |
| 281 | + } |
| 282 | +
|
| 283 | + clusterConfigs.json: |- |
| 284 | + { |
| 285 | + "min.insync.replicas": 1, |
| 286 | + "an.example.cluster.config": false |
| 287 | + } |
| 288 | +
|
| 289 | + log4j2.xml: |- |
| 290 | + <?xml version="1.0" encoding="UTF-8"?> |
| 291 | + <Configuration status="INFO"> |
| 292 | + <Appenders> |
| 293 | + <File name="Console" fileName="/dev/stdout"> |
| 294 | + <PatternLayout pattern="%d{yyy-MM-dd HH:mm:ss.SSS} [%t] %-5level %logger{36} - %msg%n"/> |
| 295 | + </File> |
| 296 | + </Appenders> |
| 297 | + <Loggers> |
| 298 | + <Root level="info"> |
| 299 | + <AppenderRef ref="Console" /> |
| 300 | + </Root> |
| 301 | + </Loggers> |
| 302 | + </Configuration> |
| 303 | +
|
| 304 | + log4j.properties: |- |
| 305 | + log4j.rootLogger = INFO, FILE |
| 306 | +
|
| 307 | + log4j.appender.FILE=org.apache.log4j.FileAppender |
| 308 | + log4j.appender.FILE.File=/dev/stdout |
| 309 | +
|
| 310 | + log4j.appender.FILE.layout=org.apache.log4j.PatternLayout |
| 311 | + log4j.appender.FILE.layout.conversionPattern=%-6r [%15.15t] %-5p %30.30c %x - %m%n |
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