Advanced Search cluster metrics in Mimir

How to reach the gprd Advanced Search Elasticsearch cluster’s own metrics when investigating a global_search latency regression, and what to do when they are not there.

Two exporters, one metric namespace

Two prometheus-elasticsearch-exporter releases publish elasticsearch_* into the mimir-gitlab-gprd datasource. They are told apart only by the type label:

type	Cluster	Scraped job
search	Advanced Search (gprd-indexing-20220523)	es-exporter-search-prometheus-elasticsearch-exporter
logging	Logging	es-exporter-logging-prometheus-elasticsearch-exporter

Always pin type="search". An unqualified elasticsearch_* query today returns logging-cluster data only, and reads as a healthy Advanced Search cluster when it is nothing of the kind.

First: is the search exporter actually up?

elasticsearch_clusterinfo_up{type="search"}

1 means the cluster is being scraped and the queries below will work. 0 means the exporter cannot reach or authenticate to the cluster, and every node-level and index-level family is absent — not zero, absent. Use the logging cluster as a control: if elasticsearch_clusterinfo_up{type="logging"} is 1, the datasource and your query are fine and the problem is the search exporter.

As of 2026-09-11 this reads 0, and has since 2026-06-15T11:25Z. Before that timestamp every family below was present and queryable for the search cluster, so a regression analysis over an older window can still use them.

A second tell, useful because it needs no prior knowledge of what should exist:

count by (type) (count by (__name__, type) ({__name__=~"elasticsearch_.*", environment="gprd"}))

Both exporters published 214 families while healthy. The search cluster’s count fell 214 → 9 at the outage minute and 9 → 7 when the exporter image moved to v1.11.0 on 2026-07-07, leaving only the cluster-info and scrape-health meta series — the shape a failed connection takes, not a collector that was turned off. Compare against type="logging" rather than against a remembered number: that cluster now publishes 150 after the series trimming in observability/team#4615, so the two counts are no longer expected to match.

When up is 0, elasticsearch_version{type="search"} also reports version="0.0.0" rather than a real version, so an Elasticsearch upgrade cannot be ruled in or out from metrics.

Periodic-operation queries

These answer “what runs on this cluster on a cycle, and did its schedule or scope change”. They need elasticsearch_clusterinfo_up{type="search"} == 1.

Question	Query
Cluster-state work queueing	max(elasticsearch_cluster_health_number_of_pending_tasks{type="search"})
Cluster-state work waiting	max(elasticsearch_cluster_health_task_max_waiting_in_queue_millis{type="search"})
Merge/force-merge activity	sum(rate(elasticsearch_indices_merges_total_time_seconds_total{type="search"}[10m]))
Merge scope, in bytes	sum(rate(elasticsearch_indices_merges_total_size_bytes_total{type="search"}[10m]))
Flush cycles	sum(rate(elasticsearch_indices_flush_time_seconds{type="search"}[10m]))
Refresh cycles	sum(rate(elasticsearch_indices_refresh_time_seconds_total{type="search"}[10m]))
Thread-pool backlog, by pool	sum by (exported_type) (elasticsearch_thread_pool_queue_count{type="search"})
Rejections, by pool	sum by (exported_type) (rate(elasticsearch_thread_pool_rejected_count{type="search"}[10m]))
Per-node GC pressure	sum by (name, gc) (rate(elasticsearch_jvm_gc_collection_seconds_count{type="search"}[10m]))

The node name is on name (instance-00000000NN), not node or instance. The Elasticsearch thread pool is on exported_type — type is already taken by the exporter-release label above, so Prometheus renamed the scraped one. The force_merge, flush, refresh, snapshot and warmer pools are the periodic ones; use exported_type="force_merge" to isolate force-merge specifically.

elasticsearch_* has no hot-threads equivalent. Use elasticsearch_os_cpu_percent and elasticsearch_breakers_tripped as saturation proxies and go to the Elastic Cloud console for thread-level detail.

ILM is not available for the search cluster even when the exporter is healthy: ilm: true is set on the logging and monitoring releases only, so elasticsearch_ilm_status and elasticsearch_ilm_index_status have never carried a type="search" series. Snapshot and index-settings collectors are off on both releases (snapshots: false, indices_settings: false). Reaching those needs a config change, not a different query.

Deciding whether a periodic operation changed

A rate that rose is not by itself a schedule change. Compare a window before the suspected onset with a window after, on both the mean (scope) and the cycle (schedule), and require a repeat before calling anything periodic:

1. Linearly detrend the window. A rising trend alone will otherwise produce a confident autocorrelation peak at an arbitrary lag.
2. Take the autocorrelation and keep only interior local maxima. A one-off step change decays monotonically, so its maximum always sits on the shortest lag; a real cycle puts a peak in the middle of the range.
3. Require the peak to recur at twice the lag. An operation that ran once does not.

Without step 3 a single step change plus normal noise scores as a 30-minute cycle. Read the autocorrelation curve before believing any period: a smooth monotone decay from the shortest lag is the signature of a level shift, not a schedule.

If the search exporter is down

The metrics are not recoverable by query — nothing was recorded. Route to the cluster directly (Elastic Cloud console, Kibana Dev Tools; see README.md) and raise the exporter separately.

Deployment lives in gitlab-com/gl-infra/argocd/apps under services/es-exporter-search/, with the cluster URI in env/gprd/clusters/gprd-gitlab-gke/values.yaml and credentials sourced from Vault by values-vault-secrets.yaml. Those external secrets are declared refreshInterval: 0 with a pinned version: "1", so a credential rotated on the Elastic side is never re-fetched and the exporter stays broken until someone bumps the version. A silent authentication failure is the expected shape of this outage, and it leaves no trace in the ArgoCD repo’s history.

Do not assume the collectors were never enabled. The search release turns off only indices_settings, indices_mappings, shards and snapshots; index, node, thread-pool, JVM and cluster-health stats are on by default and were being collected normally until the connection broke. Check clusterinfo_up before proposing a values change — a config fix will not restore metrics that a failed connection is suppressing.

Two SLIs in metrics-catalog/services/search.jsonnet are declared against metrics only this exporter supplies — elasticsearch_searching and elasticsearch_indexing, both on {type: 'search'} counters. While the exporter is down, those SLIs have no samples behind them even though their names still resolve.

What stops alerting while the exporter is down

The component_saturation_slo_out_of_bounds:elastic_* alerts on the search service are silently inert, because a > comparison against an absent left-hand side yields no series rather than a breach:

count by (component) (gitlab_component_saturation:ratio{env="gprd", type="search"})

That returns only open_fds today; before the outage it also returned elastic_cpu, elastic_disk_space, elastic_jvm_heap_memory, elastic_single_node_cpu, elastic_single_node_disk_space and elastic_thread_pools. The same query with type="logging" still returns all of them, so the saturation definitions are fine — their inputs are gone. Disk-space saturation is s2; the cluster could fill up without paging anyone. (elastic_single_node_disk_space_cold has an alert but no type="search" input either side of the outage, so do not read its silence as a symptom.)

Nothing alerts on elasticsearch_clusterinfo_up{type="search"} either, and no absent() rule covers the saturation inputs, which is why this can go unnoticed for months. Treat the count by (component) query above as the standing check: six elastic_* components means the cluster is watched, none means it is not.