谁有flink+prometheus对于每个flink job失败或异常进行告警的rule配置？-[阿里云_云淘科技]

谁有flink+prometheus对于每个flink job失败或异常进行告警的rule配置？

以下为热心网友提供的参考意见

要实现Flink job失败或异常的告警，首先需要确保已经安装和配置了Prometheus。然后在Flink的配置文件中启用Prometheus监控，具体操作为找到flink-conf.yaml文件，并添加以下配置：

metrics.reporters: prom
metrics.reporter.prom.class: org.apache.flink.metrics.prometheus.PrometheusReporter

同时，还需要在Flink的配置文件中指定Prometheus PushGateway的地址，例如：

metrics.reporter.promgateway.class: org.apache.flink.metrics.prometheus.PrometheusPushGatewayReporter
metrics.reporter.promgateway.jobName: myJob

这样，当Flink作业失败或异常时，Prometheus就可以捕获到相关指标并进行告警。具体的告警规则配置需要在Prometheus的配置文件中进行，如下所示：

groups:
- name: flink_job_failure_alert
  rules:
  - alert: FlinkJobFailure
    expr: flink_job_failure_total{status="failed"} > 0
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: "Flink Job failed"
      description: "{{$labels.instance}} of job {{$labels.job_name}} has failed."

以下为热心网友提供的参考意见

以下是一个基本的Prometheus规则配置示例，用于监控Flink作业的状态并触发告警。这个例子假设你已经设置好了Flink的Metrics报告到Prometheus，并且Flink的指标已经被正确地暴露出来。

groups:
- name: flink_job_alerts
  rules:
  - alert: FlinkJobFailed
    expr: flink_job_status{status="FAILED"} == 1
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: Flink Job {{ $labels.job_name }} has failed
      description: Flink job {{ $labels.job_name }} has entered a FAILED state.

  - alert: FlinkJobRestarted
    expr: flink_job_status{status="RESTARTED"} == 1
    for: 1m
    labels:
      severity: warning
    annotations:
      summary: Flink Job {{ $labels.job_name }} has restarted
      description: Flink job {{ $labels.job_name }} has been restarted due to an error or failure.

  - alert: FlinkJobCancelled
    expr: flink_job_status{status="CANCELLED"} == 1
    for: 1m
    labels:
      severity: warning
    annotations:
      summary: Flink Job {{ $labels.job_name }} has been cancelled
      description: Flink job {{ $labels.job_name }} has been manually cancelled or terminated unexpectedly.

  - alert: FlinkJobInExceptionState
    expr: flink_job_exception_count > 0
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: Flink Job {{ $labels.job_name }} is in exception state
      description: Flink job {{ $labels.job_name }} has encountered exceptions during execution.

这个配置包括了四个告警规则：

1. FlinkJobFailed：当Flink作业状态为”FAILED”时触发告警。
2. FlinkJobRestarted：当Flink作业状态为”RESTARTED”时触发告警。
3. FlinkJobCancelled：当Flink作业状态为”CANCELLED”时触发告警。
4. FlinkJobInExceptionState：当Flink作业出现异常计数大于0时触发告警。

这些规则假设你已经在Flink中设置了相应的指标（如flink_job_status和flink_job_exception_count），并且这些指标已经被正确地暴露给Prometheus。实际的指标名称和标签可能会根据你的Flink版本和配置有所不同。

在配置好这些规则后，你需要将它们添加到Prometheus的规则文件（通常是prometheus.yml）中，然后重启Prometheus服务以应用新的规则。同时，你也需要配置一个Alertmanager来处理这些告警并进行通知。