ThanosBucketReplicateRunLatency

ThanosBucketReplicateRunLatency #

Thanos Replicate {{$labels.job}} has a 99th percentile latency of {{$value}} seconds for the replicate operations.

Alert Rule
alert: ThanosBucketReplicateRunLatency
annotations:
  description: |-
    Thanos Replicate {{$labels.job}} has a 99th percentile latency of {{$value}} seconds for the replicate operations.
      VALUE = {{ $value }}
      LABELS = {{ $labels }}    
  runbook: https://srerun.github.io/prometheus-alerts/runbooks/thanos-bucket-replicate/thanosbucketreplicaterunlatency/
  summary: Thanos Bucket Replicate Run Latency (instance {{ $labels.instance }})
expr: (histogram_quantile(0.99, sum by (job) (rate(thanos_replicate_replication_run_duration_seconds_bucket{job=~".*thanos-bucket-replicate.*"}[5m])))
  > 20 and  sum by (job) (rate(thanos_replicate_replication_run_duration_seconds_bucket{job=~".*thanos-bucket-replicate.*"}[5m]))
  > 0)
for: 5m
labels:
  severity: critical

Here is the runbook for the ThanosBucketReplicateRunLatency alert:

Meaning #

The ThanosBucketReplicateRunLatency alert is triggered when the 99th percentile latency of Thanos replicate operations exceeds 20 seconds in a 5-minute window. This alert indicates that the Thanos replicate job is experiencing high latency, which can lead to data inconsistency and availability issues.

Impact #

The impact of this alert can be significant, as high latency in Thanos replicate operations can:

  • Cause data inconsistencies between the primary and replicated buckets
  • Lead to slower query performance and increased latency for end-users
  • Result in failed replicate operations, leading to data loss or corruption
  • Potentially trigger cascading failures in dependent systems

Diagnosis #

To diagnose the root cause of this alert, follow these steps:

  1. Check the Thanos replicate job logs for errors or warnings that may indicate the cause of the high latency.
  2. Verify that the Thanos replicate job is running with the expected configuration and resources.
  3. Check the underlying storage system for signs of congestion or high latency.
  4. Review the Thanos metrics to identify any trends or patterns that may indicate the cause of the high latency.
  5. Check the network connectivity and bandwidth between the primary and replicated buckets.

Mitigation #

To mitigate the impact of this alert, follow these steps:

  1. Immediately investigate and resolve any underlying issues causing the high latency, such as storage congestion or network connectivity issues.
  2. Consider scaling up the resources allocated to the Thanos replicate job to improve its performance.
  3. Review the Thanos configuration and optimize it for better performance and latency.
  4. Implement additional monitoring and alerting to detect similar issues earlier.
  5. Consider implementing redundancy and failover mechanisms to ensure data availability and consistency in case of replicate job failures.
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