Weaviate integration metrics

The official Datadog integration for monitoring Weaviate. It collects 101 metrics.

Definitions as of 2026-09-02

Official summary

Open-source vector database for building AI-powered applications.

Metric types

count (occurrences in the interval): 51
gauge (value at a point in time): 50

Metrics

Descriptions are the official definitions, unedited.

Metric	Type	Unit
`weaviate.async.operations.running`The number of currently running async operations. The operation itself is defined through the operation label	gauge	operation
`weaviate.backup.restore.class.ms.count`The number of samples used to calculate the duration of restoring a class	count	operation
`weaviate.backup.restore.class.ms.sum`The duration of restoring a class	count	millisecond
`weaviate.backup.restore.data.transferred`The total number of bytes transferred during a backup restore	count	byte
`weaviate.backup.restore.from.backend.ms.count`The number of samples used to calculate the duration of the file transfer stage of a backup restore	count	operation
`weaviate.backup.restore.from.backend.ms.sum`The duration of the file transfer stage of a backup restore	count	millisecond
`weaviate.backup.restore.init.ms.count`The number of samples used to calculate the duration of the startup phase of a backup restore	count	operation
`weaviate.backup.restore.init.ms.sum`The duration of the startup phase of a backup restore	count	millisecond
`weaviate.backup.restore.ms.count`The number of samples used to calculate the duration of backup restores	count	operation
`weaviate.backup.restore.ms.sum`The duration of backup restores	count	millisecond
`weaviate.backup.store.data.transferred`The total number of bytes transferred during a backup store	count	byte
`weaviate.backup.store.to.backend.ms.count`The number of samples used to calculate the duration of the file transfer stage of a backup store	count	operation
`weaviate.backup.store.to.backend.ms.sum`The duration of the file transfer stage of a backup store	count	millisecond
`weaviate.batch.delete.durations_ms.bucket`The number of operations observed for the batch delete duration histogram by `upper_bound` buckets	count	operation
`weaviate.batch.delete.durations_ms.count`The count of operations observed in the batch delete duration histogram	count	operation
`weaviate.batch.delete.durations_ms.sum`The sum of the duration of a batch delete in ms. The operation label further defines what operation as part of the batch delete is being measured. Granularity is a shard of a class	count	millisecond
`weaviate.batch.durations_ms.bucket`The number of operations observed for the batch operation duration histogram by `upper_bound` buckets	count	operation
`weaviate.batch.durations_ms.count`The count of operations observed in the batch operation duration histogram	count	operation
`weaviate.batch.durations_ms.sum`The sum of the duration of a single batch operation in ms. The operation label further defines what operation as part of the batch (e.g. object, inverted, vector) is being used. Granularity is a shard of a class	count	millisecond
`weaviate.bucket.pause.durations.ms.count`The number of samples used to calculate the duration of bucket pauses	count	operation
`weaviate.bucket.pause.durations.ms.sum`The duration of bucket pauses	count	millisecond
`weaviate.concurrent.goroutines`The number of concurrently running goroutines	gauge	-
`weaviate.concurrent.queries`The number of concurrently running query operations	gauge	operation
`weaviate.go.gc.duration.seconds.count`The summary count of garbage collection cycles in the Weaviate instance	count	second
`weaviate.go.gc.duration.seconds.quantile`A summary of the pause duration of garbage collection cycles in the Weaviate instance	gauge	second
`weaviate.go.gc.duration.seconds.sum`The sum of the pause duration of garbage collection cycles in the Weaviate instance	count	second
`weaviate.go.goroutines`The number of goroutines that currently exist in the Weaviate instance	gauge	-
`weaviate.go.info`Metric containing the Go version as a tag	gauge	-
`weaviate.go.memstats.alloc_bytes`The number of bytes allocated and still in use in the Weaviate instance	gauge	byte
`weaviate.go.memstats.alloc_bytes.count`The monotonic count of bytes allocated and still in use in the Weaviate instance	count	byte
`weaviate.go.memstats.buck_hash.sys_bytes`The number of bytes used by the profiling bucket hash table in the Weaviate instance	gauge	byte
`weaviate.go.memstats.frees.count`The total number of frees in the Weaviate instance	count	-
`weaviate.go.memstats.gc.cpu_fraction`The fraction of this program's available CPU time used by the GC since the program started in the Weaviate instance	gauge	fraction
`weaviate.go.memstats.gc.sys_bytes`The number of bytes used for garbage collection system metadata in the Weaviate instance	gauge	byte
`weaviate.go.memstats.heap.alloc_bytes`The number of heap bytes allocated and still in use in the Weaviate instance	gauge	byte
`weaviate.go.memstats.heap.idle_bytes`The number of heap bytes waiting to be used in the Weaviate instance	gauge	byte
`weaviate.go.memstats.heap.inuse_bytes`The number of heap bytes that are in use in the Weaviate instance	gauge	byte
`weaviate.go.memstats.heap.objects`The number of allocated objects in the Weaviate instance	gauge	object
`weaviate.go.memstats.heap.released_bytes`The number of heap bytes released to the OS in the Weaviate instance	gauge	byte
`weaviate.go.memstats.heap.sys_bytes`The number of heap bytes obtained from system in the Weaviate instance	gauge	byte
`weaviate.go.memstats.lookups.count`The number of pointer lookups	count	-
`weaviate.go.memstats.mallocs.count`The number of mallocs	count	-
`weaviate.go.memstats.mcache.inuse_bytes`The number of bytes in use by mcache structures in the Weaviate instance	gauge	byte
`weaviate.go.memstats.mcache.sys_bytes`The number of bytes used for mcache structures obtained from system in the Weaviate instance	gauge	byte
`weaviate.go.memstats.mspan.inuse_bytes`The number of bytes in use by mspan structures in the Weaviate instance	gauge	byte
`weaviate.go.memstats.mspan.sys_bytes`The number of bytes used for mspan structures obtained from system in the Weaviate instance	gauge	byte
`weaviate.go.memstats.next.gc_bytes`The number of heap bytes when next garbage collection takes place in the Weaviate instance	gauge	byte
`weaviate.go.memstats.other.sys_bytes`The number of bytes used for other system allocations in the Weaviate instance	gauge	byte
`weaviate.go.memstats.stack.inuse_bytes`The number of bytes in use by the stack allocator in the Weaviate instance	gauge	byte
`weaviate.go.memstats.stack.sys_bytes`The number of bytes obtained from system for stack allocator in the Weaviate instance	gauge	byte
`weaviate.go.memstats.sys_bytes`The number of bytes obtained from system in the Weaviate instance	gauge	byte
`weaviate.go.threads`The number of OS threads created in the Weaviate instance	gauge	thread
`weaviate.http.latency_ms`The HTTP request response time latency in ms	gauge	millisecond
`weaviate.lsm.active.segments`The number of currently present segments per shard. Granularity is shard of a class. Grouped by strategy	gauge	segment
`weaviate.lsm.bloom.filters.duration_ms.count`The number of samples used to calculate the duration of a bloom operation	count	operation
`weaviate.lsm.bloom.filters.duration_ms.sum`The duration of a bloom filter operation per shard in ms. Granularity is shard of a class. Grouped by strategy	count	millisecond
`weaviate.lsm.memtable.durations_ms.count`The number of samples used to calculate the duration of a sync or async vector index maintenance operation	count	operation
`weaviate.lsm.memtable.durations_ms.sum`The duration of a sync or async vector index maintenance operation. The operation itself is defined through the operation label	count	millisecond
`weaviate.lsm.memtable.size`The size of memtable by path	gauge	-
`weaviate.lsm.segment.objects`The number of entries per LSM segment by level. Granularity is shard of a class. Grouped by strategy and level	gauge	object
`weaviate.lsm.segment.size`The size of LSM segment by level and unit	gauge	-
`weaviate.lsm.segments`The number of segments by level	gauge	segment
`weaviate.node.shard.objects`The number of objects inside a Weaviate shard	gauge	object
`weaviate.node.stats.objects`The number of objects inside a Weaviate node	gauge	object
`weaviate.node.stats.shards`The number of shard inside a Weaviate shard	gauge	shard
`weaviate.node.status`The current status of a Weaviate Node. 0:HEALTHY, 1:UNHEALTHY, 2:UNAVAILABLE, and 3:UNKNOWN	gauge	-
`weaviate.objects`The numbers of objects present. Granularity is a shard of a class	gauge	object
`weaviate.objects.durations_ms.count`The number of samples used to calculate the duration of an individual object operation	count	operation
`weaviate.objects.durations_ms.sum`The duration of an individual object operation, such as put, delete, etc. as indicated by the operation label, also as part of a batch. The step label adds additional precisions to each operation. Granularity is a shard of a class	count	millisecond
`weaviate.process.cpu.seconds.count`The total user and system CPU time spent in seconds in the Weaviate instance	count	second
`weaviate.process.max_fds`The maximum number of open file descriptors in the Weaviate instance	gauge	-
`weaviate.process.open_fds`The number of open file descriptors in the Weaviate instance	gauge	-
`weaviate.process.resident_memory.bytes`The resident memory size in bytes in the Weaviate instance	gauge	byte
`weaviate.process.start_time.seconds`The start time of the process since unix epoch in seconds in the Weaviate instance	gauge	second
`weaviate.process.virtual_memory.bytes`The virtual memory size in bytes in the Weaviate instance	gauge	byte
`weaviate.process.virtual_memory.max_bytes`The maximum amount of virtual memory available in bytes in the Weaviate instance	gauge	byte
`weaviate.promhttp.metric_handler.requests.count`The total number of scrapes by HTTP status code	count	request
`weaviate.promhttp.metric_handler.requests_in_flight`The current number of scrapes being served	gauge	request
`weaviate.queries.durations_ms.bucket`The number of operations observed in the query duration histogram by `upper_bound` buckets	count	operation
`weaviate.queries.durations_ms.count`The count of operations observed in the query duration histogram	count	operation
`weaviate.queries.durations_ms.sum`The sum of query durations in milliseconds	count	millisecond
`weaviate.queries.filtered.vector.durations_ms.count`The count of the duration of queries summary	count	-
`weaviate.queries.filtered.vector.durations_ms.sum`The duration of queries in milliseconds	count	millisecond
`weaviate.query.dimensions.count`The vector dimensions used by any read-query that involves vectors	count	-
`weaviate.requests`The number of requests tagged by a given status(ok, user_error, server_error). Available only on Weaviate version 1.20.0+	gauge	request
`weaviate.startup.diskio.throughput.bucket`The number of operations observed for the the disk I/O throughput duration by `upper_bound` buckets	count	operation
`weaviate.startup.diskio.throughput.count`The count of operations observed in the disk I/O throughput duration histogram	count	operation
`weaviate.startup.diskio.throughput.sum`The sum of disk I/O throughput startup operations in bytes/s, such as reading back the HNSW index or recovering LSM segments. The operation itself is defined by the operation label	count	byte/second
`weaviate.startup.durations_ms.count`The number of samples used to calculate the duration individual startup operation	count	operation
`weaviate.startup.durations_ms.sum`The duration of individual startup operations in ms. The operation itself is defined through the operation label	count	millisecond
`weaviate.startup.progress`The ratio (percentage) of startup progress for a particular component in a shard	gauge	-
`weaviate.vector.dimensions.count`The total dimensions in a shard	count	-
`weaviate.vector.index.durations_ms.count`The number of samples used to calculate the duration of a sync or async vector index operation	count	operation
`weaviate.vector.index.durations_ms.sum`The duration of regular vector index operation, such as insert or delete. The operation itself is defined through the operation label. The step label adds more granularity to each operation	count	millisecond
`weaviate.vector.index.maintenance.durations_ms.count`The number of samples used to calculate the duration of a sync or async vector index operation	count	operation
`weaviate.vector.index.maintenance.durations_ms.sum`The duration of a sync or async vector index maintenance operation. The operation itself is defined through the operation label	count	millisecond
`weaviate.vector.index.operations`The total number of mutating operations on the vector index. The operation itself is defined by the operation label	gauge	operation
`weaviate.vector.index.size`The total capacity of the vector index. Typically larger than the number of vectors imported as it grows proactively	gauge	-
`weaviate.vector.index.tombstone.cleaned.count`The total number of deleted and removed vectors after repair operations	count	-
`weaviate.vector.index.tombstone.cleanup.threads`The number of currently active threads for repairing/cleaning up the vector index after deletes have occurred	gauge	-
`weaviate.vector.index.tombstones`The number of active vector index tombstones	gauge	-

Official documentation

Official documentation for the Weaviate integration

Metric names and descriptions are the official Datadog integration definitions (Copyright Datadog, Inc., BSD-3-Clause), reproduced unedited. The full license terms are on the About page.

Official summary

Metric types

Metrics

Official documentation

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