Project: Cortex (Observability and Analysis / Observability)
File: ingesters-scaling-up-and-down.md

title: "Ingesters scaling up and down" linkTitle: "Ingesters scaling up and down" weight: 10 slug: ingesters-scaling-up-and-down This guide explains how to scale up and down ingesters. If you're looking how to run ingesters rolling updates, please refer to the . Adding more ingesters to a Cortex cluster is considered a safe operation. When a new ingester starts, it will register to the and the distributors will reshard received series accordingly. Ingesters that were previously receiving those series will see data stop arriving and will consider those series "idle". If you run with `-distributor.shard-by-all-labels=false` (the default), before adding a second ingester you have to wait until data has migrated from idle series to the back-end store, otherwise you will see gaps in queries. This will happen after the next "head compaction" (typically every 2 hours). If you have set `-querier.query-store-after` then that is also a minimum time you have to wait before adding a second ingester. If you run with `-distributor.shard-by-all-labels=true`, no special care is required to take when scaling up ingesters. A running ingester holds several hours of time series data in memory, before they're flushed to the long-term storage. When an ingester shuts down, because of a scale down operation, the in-memory data must not be discarded in order to avoid any data loss. Ingesters don't flush series to blocks at shutdown by default. However, Cortex ingesters expose an API endpoint that can be called to flush series to blocks and upload blocks to the long-term storage before the ingester terminates. Even if ingester blocks are compacted and shipped to the storage at shutdown, it takes some time for queriers and store-gateways to discover the newly uploaded blocks. This is due to the fact that the blocks storage runs a periodic scanning of the storage bucket to discover blocks. If two or more ingesters are scaled down in a short period of time, queriers may miss some data at query time due to series that were stored in the terminated ingesters but their blocks haven't been discovered yet. The ingesters scale down is deemed an infrequent operation and no automation is currently provided. However, if you need to scale down ingesters, please be aware of the following: Configure queriers and rulers to always query the storage `-querier.query-store-after=0s` Frequently scan the storage bucket `-blocks-storage.bucket-store.sync-interval=5m` `-compactor.cleanup-interval=5m` Lower bucket scanning cache TTLs `-blocks-storage.bucket-store.metadata-cache.bucket-index-content-ttl=1m` `-blocks-storage.bucket-store.metadata-cache.tenant-blocks-list-ttl=1m` `-blocks-storage.bucket-store.metadata-cache.metafile-doesnt-exist-ttl=1m` Ingesters should be scaled down one by one: Call `/shutdown` endpoint on the ingester to shutdown Wait until the HTTP call returns successfully or "finished flushing and shipping TSDB blocks" is logged Terminate the ingester process (the `/shutdown` will not do it) Before proceeding to the next ingester, wait 2x the maximum between `-blocks-storage.bucket-store.sync-interval` and `-compactor.cleanup-interval`