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Update docs/monitoring/sharding.md
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Co-authored-by: Théo Brigitte <[email protected]>
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QuentinBisson and TheoBrigitte authored Jun 6, 2024
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# Prometheus Agent Sharding

To be able to ingest metrics without disrupting the workload running in the clusters, the observability operator decides on the number of running __prometheus agent shards__ for each workload cluster based . The number of shards depends on the __total number of time series__ stored for a given cluster.
To be able to ingest metrics without disrupting the workload running in the clusters, the observability operator chooses the number of running __prometheus agent shards__ on each workload cluster. The number of shards is based on the __total number of time series__ ingested for a given cluster.

__By default__, the operator configures a shard for every 1M time series present in Mimir for the workload cluster. To avoid scaling down too abruptly, we defined a scale down threshold of 20%.

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