groups:
  - name: HadoopAlerts
    rules:
      # Alert rule for NameNode availability
      - alert: HadoopNameNodeDown
        expr: up{job="hadoop-namenode"} == 0
        for: 5m
        labels:
          severity: critical
        annotations:
          summary: "Hadoop NameNode is down"
          description: "The Hadoop NameNode service is unavailable."

      # Alert rule for ResourceManager availability
      - alert: HadoopResourceManagerDown
        expr: up{job="hadoop-resourcemanager"} == 0
        for: 5m
        labels:
          severity: critical
        annotations:
          summary: "Hadoop ResourceManager is down"
          description: "The Hadoop ResourceManager service is unavailable."

      # Alert rule for DataNode status
      - alert: HadoopDataNodeOutOfService
        expr: hadoop_datanode_last_heartbeat == 0
        for: 10m
        labels:
          severity: warning
        annotations:
          summary: "Hadoop DataNode is out of service"
          description: "The Hadoop DataNode is not sending heartbeats."

      # Alert rule for low HDFS disk space
      - alert: HadoopHDFSDiskSpaceLow
        expr: (hadoop_hdfs_bytes_total - hadoop_hdfs_bytes_used) / hadoop_hdfs_bytes_total < 0.1
        for: 15m
        labels:
          severity: warning
        annotations:
          summary: "Low HDFS Disk Space"
          description: "Available HDFS disk space is running low."

      # Alert rule for excessive MapReduce task failures
      - alert: HadoopMapReduceTaskFailures
        expr: hadoop_mapreduce_task_failures_total > 100
        for: 10m
        labels:
          severity: critical
        annotations:
          summary: "Excessive MapReduce Task Failures"
          description: "There is an unusually high number of MapReduce task failures."

      # Alert rule for high ResourceManager memory usage
      - alert: HadoopResourceManagerMemoryHigh
        expr: hadoop_resourcemanager_memory_bytes / hadoop_resourcemanager_memory_max_bytes > 0.8
        for: 15m
        labels:
          severity: warning
        annotations:
          summary: "High ResourceManager Memory Usage"
          description: "The Hadoop ResourceManager is approaching its memory limit."

      # Alert rule for high YARN container allocation failures
      - alert: HadoopYARNContainerAllocationFailures
        expr: hadoop_yarn_container_allocation_failures_total > 10
        for: 10m
        labels:
          severity: warning
        annotations:
          summary: "High YARN Container Allocation Failures"
          description: "There is a significant number of YARN container allocation failures."

      # Alert rule for excessive HBase region server region count
      - alert: HadoopHBaseRegionCountHigh
        expr: hadoop_hbase_region_count > 5000
        for: 15m
        labels:
          severity: warning
        annotations:
          summary: "Excessive HBase Region Count"
          description: "The HBase cluster has an unusually high number of regions."

      # Alert rule for low HBase region server heap space
      - alert: HadoopHBaseRegionServerHeapLow
        expr: hadoop_hbase_region_server_heap_bytes / hadoop_hbase_region_server_max_heap_bytes < 0.2
        for: 10m
        labels:
          severity: critical
        annotations:
          summary: "Low HBase Region Server Heap Space"
          description: "HBase Region Servers are running low on heap space."

      # Alert rule for high HBase Write Requests latency
      - alert: HadoopHBaseWriteRequestsLatencyHigh
        expr: hadoop_hbase_write_requests_latency_seconds > 0.5
        for: 10m
        labels:
          severity: warning
        annotations:
          summary: "High HBase Write Requests Latency"
          description: "HBase Write Requests are experiencing high latency."