IRONdb is implemented using libmtev, a framework for building high-performance C applications. You may wish to review the libmtev configuration documentation for an overview of how libmtev applications are configured generally.

This document deals with options that are specific to IRONdb, but links to relevant libmtev documentation where appropriate.

Default values are those that are present in the default configuration produced during initial installation.

Time periods are specified as second-resolution libmtev time durations.


This is the primary configuration file that IRONdb reads at start. It includes additional configuration files which are discussed later.


<snowth lockfile="/irondb/logs/snowth.lock" text_size_limit="512">

IRONdb’s libmtev application name. This is a required node and must not be changed.

snowth lockfile

Path to a file that prevents multiple instances of the application from running concurrently. You should not need to change this.

Default: /irondb/logs/snowth.lock

snowth text_size_limit

The maximum length of a text-type metric value. Text metric values longer than this limit will be truncated.

Default: 512

Text-type metrics are supported in IRONdb but Graphite currently has no way to render these when using a Storage Finder plugin.


<cache cpubuckets="128" size="0"/>

An LRU cache of open filehandles for numeric metric rollups. This can improve rollup read latency by keeping the on-disk files for frequently-accessed streams open.

cache cpubuckets

The cache is divided up into the specified number of “buckets” to facilitate concurrent access by multiple threads. This parameter rarely requires tuning.

Default: 128


Libmtev logging configuration. See the libmtev logging documentation.

By default, the following log files are written and automatically rotated, with the current file having the base name and rotated files having an epoch-timestamp suffix denoting when they were created:

  • /irondb/logs/errorlog: Output from the daemon process, including not just errors but also operational warnings and other information that may be useful to Circonus Support.
    • Rotated: 24 hours
    • Retained: 1 week
  • /irondb/logs/startuplog: Additional non-error initialization output.
    • Rotated: 24 hours
    • Retained: 1 week
  • /irondb/logs/accesslog: Logs from the REST API, including metric writes and reads as well as inter-node communication.
    • Rotated: 1 hour
    • Retained: 1 week

Logging old data submission

Sometimes it may be desirable to log data submissions that are older than some threshold, in order to identify the source. Submitting “old” data can cause issues with rollups being interrupted, as well as introducing unwanted changes to historical data. IRONdb has a debug-level logging facility for recording such submissions.

Since version 0.20.2 a configuration to log such submissions has been available. It is not active by default, but can be activated by setting disabled="false" on the debug/old_data log:

<log name="debug/old_data" disabled="false"/>

The threshold for what is considered “old” is controlled by metric_age_threshold. The value is a libmtev time duration string representing an offset into the past from “now”. The default is 7 days. Any data submitted with a timestamp that is further in the past will be logged.

<old_data_logging metric_age_threshold="7d"/>


Libmtev network listener configuration. See the libmtev listener documentation.

Each listener below is configured within a <listener> node. Additional listeners may be configured if desired, or the specific address and/or port may be modified to suit your environment.

Main listener

<listener address="*" port="8112" backlog="100" type="http_rest_api" accept_thread="on" fanout="true">

The main listener serves multiple functions:

Main listener address

The IP address on which to listen, or the special * to listen on any local IP address.

Default: *

Main listener port

The port number to listen on. For the main listener this will utilize both TCP and UDP.

Default: 8112

Main listener backlog

The size of the queue of pending connections. This is used as an argument to the standard listen(2) system call. If a new connection arrives when this queue is full, the client may receive an error such as ECONNREFUSED.

Default: 100

Main listener type

The type of libmtev listener this is. The main listener is configured to be only a REST API listener. This value should not be changed.

Default: http_rest_api

Main listener accept_thread

If set to on, IRONdb will dedicate an eventer thread to handling incoming connections. This improves performance by ensuring that a new connection will be fully processed in blocking fashion, without preemption.

Default: off

Main listener fanout

If set to true, new events from accepted connections will be fanned out across all threads in the event pool owning the listening socket (usually the default event pool).

Default: false

Graphite listener

<listener address="*" port="2003" type="graphite">

The Graphite listener operates a Carbon-compatible submission pathway using the plaintext format.

Multiple Graphite listeners may be configured on unique ports and associated with different check UUIDs. See the section on Graphite ingestion for details.

Graphite listener address

The IP address on which to listen, or the special * to listen on any local IP address.

Default: *

Graphite listener port

The TCP port number to listen on.

Default: 2003

Graphite listener type

The type of listener. IRONdb implements a Graphite-compatible handler in libmtev, using the custom type “graphite”.

Default: graphite

Graphite listener config

These configuration items control which check UUID, name, and account ID are associated with this listener. The first Graphite listener is configured during initial installation.

  • check_uuid is a well-formed, non-nil UUID the will be associated with all metrics ingested via this listener.
  • account_id is also part of namespacing, for disambiguation.

Pickle listener

The Pickle listener operates a Carbon-compatible submission pathway using the pickle format.

Its configuration is identical to the plaintext listener, except the type is graphite_pickle.

CLI listener

<listener address="" port="32322" type="mtev_console">

The CLI listener provides a local telnet console for interacting with libmtev subsystems, including modifying configuration. As there is no authentication mechanism available for this listener, it is recommended that it only be operated on the localhost interface.

CLI listener address

The IP address on which to listen, or the special * to listen on any local IP address.


CLI listener port

The TCP port number to listen on.

Default: 32322

CLI listener type

The CLI listener uses the built-in libmtev type “mtev_console” to allow access to the telnet console.

Default: mtev_console


NOTE: As of version 0.20.0, resource configuration from this stanza is deprecated. Fresh installations will no longer contain this stanza.

Values from these attributes will still be respected until a future release. Deprecation messages will be logged for each pools attribute encountered in the configuration, and will include the name of the jobq that corresponds to that attribute.

The value of the “concurrency” attribute is the first value in jobq configuration. See Job Queue Configuration for details.

  <rollup concurrency="1"/>
  <nnt_put concurrency="16"/>
  <raw_writer concurrency="4"/>
  <raw_reader concurrency="16"/>
  <rest_graphite_numeric_get concurrency="4"/>
  <rest_graphite_find_metrics concurrency="4"/>
  <rest_graphite_fetch_metrics concurrency="10"/>

Resource pools within IRONdb are used for various functions, such as reading and writing metric data. Some aspects of pool behavior are configurable, typically to adjust the number of worker threads to spawn.

The defaults presented are widely applicable to most workloads, but may be adjusted to improve throughput. Use caution when raising these values too high, as it could produce thrashing and decrease performance.

If in doubt, contact support.

pools rollup concurrency


Use jobq_rollup_raw to preserve customizations.

The number of unique metric names (UUID + metric name) to process in parallel when performing rollups. A higher number generally causes the rollup operation to finish more quickly, but has the potential to overwhelm the storage subsystem if set too high.

Default: 1

These tasks compete with other readers of the raw_database, so if rollup concurrency is set higher than 4x raw_writer concurrency, it cannot be reached.

pools nnt_put concurrency


This attribute is obsolete and may be removed from configuration files.

The number of threads used for writing to numeric rollup files. Writes to a given rollup file will always occur in the same queue.

Default: the number of physical CPU cores present during installation

pools raw_writer concurrency


Use jobq_data_write to preserve customizations.

The number of threads used for writing to the raw metrics database. Additionally, by default, IRONdb will use 4x this number of threads for reading from the raw metrics database.

Default: 4

pools raw_reader concurrency


Use jobq_data_read to preserve customizations.

The number of threads used for reading from the raw metrics database.

Default: (raw_writer concurrency * 4)

pools rest_graphite_numeric_get concurrency


Use jobq_snowth_graphite_numeric_get to preserve customizations.

The number of threads used for handling Graphite fetches. This is a general queue for all fetch operations, and there are two other thread pools for specific tasks within a fetch operation (see below.)

Default: 4

pools rest_graphite_find_metrics concurrency


Use jobq_snowth_graphite_find_metrics_local and jobq_snowth_graphite_find_metrics_remote to preserve customizations. The value for this pools attribute was interpreted as the remote concurrency, which was divided by 4 to get the local concurrency (minimum 1).

The number of threads used for resolving metric names prior to fetch.

Default: 4

pools rest_graphite_fetch_metrics concurrency


Use jobq_snowth_graphite_fetch_metrics_local and jobq_snowth_graphite_fetch_metrics_remote to preserve customizations. The value for this pools attribute was interpreted as the remote concurrency, which was divided by 4 to get the local concurrency (minimum 1).

The number of threads used for actually fetching Graphite metrics, including those local to the node and those residing on remote nodes.

Default: 10

REST Configuration

This is the node under which REST API configuration items are organized.

    <rule type="allow" />
  <delete max_advisory_limit="10000" />

DELETE Configuration

This is the node used to configure DELETE endpoint behavior.

  <delete max_advisory_limit="<val>"/>

max_advisory_limit="<val>" attribute is used to configure how many deletes may be attempted by this operation where <val> may not be exceeded via X-Snowth-Advisory-Limit. Currently, this only affects the /full/tags endpoint.


<nntbs path="/irondb/nntbs/{node}">
  <shard period="60" size="1d" retention="52w" />
  <shard period="300" size="5d" retention="104w" />
  <shard period="1800" size="30d" retention="104w" />
  <shard period="10800" size="180d" retention="520w" />

NNTBS is the rollup storage engine for data once it proceeds past the raw database.

Each shard specifies a rollup using a given granularity in seconds (period).

Shard size is the time span included in one shard. The minimum size for a shard is 127 * period; for a 60-second period, this would be 7620 seconds. Whatever time span you provide here will be rounded up to that multiple. For example, if you provided 1d for the period=60 shard as in the defaults above, you would actually get 91440 seconds per shard instead of 86400.

NOTE: for installations with a high cardinality of metric names you will want to reduce the size parameters to keep the shards small to ensure performance remains consistent.

The retention setting for each shard determines how long to keep this data on disk before deleting it permanently. retention is optional and if you don’t provide it, IRONdb will keep the data forever. When a timeshard is completely past the retention limit based on the current time, the entire shard is removed from disk. In the above example, 60-second rollups are retained for 52 weeks (1 year), 5- and 30-minute rollups are retained for 104 weeks (2 years), and 3-hour rollups are retained for 520 weeks (10 years). Retention uses the same time duration specifications as size above.

Whatever settings are chosen here cannot be changed after the database starts writing data into NNTBS (except for retention). If you change your mind about sizing you will have to wipe and reconstitute each node in order to apply new settings.


<raw_database location="/irondb/raw_db/{node}"

Raw metrics database. This stores all ingested metrics at full resolution for a configurable period of time, after which the values are rolled up and stored in one or more period-specific files.

The location and data_db attributes should not be modified.

raw_database granularity

Granularity controls the sharding of the raw database. A shard is the unit of data that will be rolled up and removed, after a configurable age and period of quiescence (no new writes coming in for that shard.)

Do not change granularity after starting to collect data, as this will result in data loss.

Default: 1 week

raw_database recordsize

Recordsize controls the amount of data stored in an individual raw record.

Do not change recordsize after starting to collect data, as this will result in data loss.

Default: 1 hour

raw_database min_delete_age

The minimum age that a shard must be before it is considered for rollup and deletion.

Default: 4 weeks

raw_database delete_after_quiescent_age

The period after which a shard, if it has been rolled up and not subsequenty written to, may be deleted.

Default: 1 day

raw_database rollup_after_quiescent_age

The period the system will delay after the last write to a raw shard before attempting to roll it up. New writes to the time period/shard will interrupt the rollup process and reset the quiescent timer which must again reach the rollup_after_quiescent_age before a re-roll will be attempted.

Default: 8 hours

raw_database startup_rollup_delay

If an irondb instance restarted while it was doing a rollup, it will restart that rollup after it finishes booting, however it will wait startup_rollup_delay before doing so. This gives the node time to catch-up on ingestion, populate caches, and other operations it may need to do after a restart.

Default: 30 minutes

raw_database max_clock_skew

Allow the submission of metrics timestamped up to this amount of time in the future, to accommodate clients with incorrect clocks.

Default: 1 week

raw_database conflict_resolver

When a metric gets written more than one time at the exact millisecond offset you have a conflict we have to resolve. All operations in IRONdb are commutative and this lets us avoid complicated consensus algorithms for data. Conflicts, therefore, need to choose a winner and this choice needs to be consistent across the cluster. IRONdb gives you the following choices for conflict resolution should a datapoint appear more than once at the same millisecond.

  • abs_biggest - save the largest by absolute value.
  • last_abs_biggest - if used with the IRONdb-relay aggregation capabilities the datapoints can track a generation counter. This resolver considers the generation of the datapoint and then uses the largest by absolute value if the generations collide. If you are not using the relay, this will fall back to the same behavior as abs_biggest.
  • abs_smallest - save the smallest by absolute value.
  • last_abs_smallest - same as last_abs_biggest but smallest instead.
  • last_biggest - same as last_abs_biggest but uses the largest without absolute value.
  • last_smallest - same as last but smallest.
  • biggest - the larger value without absolute.
  • smallest - the smaller value without absolute.

This setting should be the same on all nodes of the IRONdb cluster.

This value should never be changed when data is “in flight”, that is, while a cluster is actively ingesting data, or there are nodes down, or nodes are suffering replication latency.

If you wish to change this setting after beginning to collect data, the following conditions must be met:

  • All nodes must be running and available.
  • All ingestion must be stopped.
  • All journals from all nodes must be completely drained and applied on the destination node.

Once these conditions are met:

  1. Bring down all nodes.
  2. Change the value of this option in the configuration file for each node.
  3. Restart all nodes.

Default: “abs_biggest”

raw_database rollup_strategy

Control how rollups are performed. By default, all levels of rollup data are calculated from the raw database as it is iterated.

Prior to version 0.12 the default if not specified was that the lowest level of rollup was computed and then IRONdb would read this lowest level data and compute higher level rollups. This rollup strategy has been removed.

Default: “raw_iterator”

raw_database suppress_rollup_filter

Metrics that match this tag query are never rolled up and only exist in the raw database. Raw only metrics are supported for both numeric and histogram metric types. When raw shards are deleted, a verify step is done on any metric that matches the filter to determine if there is any remaining data for that metric. If there is no remaining data, the metric will be completely deleted from the surrogate database.

Default: and(__rollup:false)

Introduced in IRONdb version 0.19.2


The surrogate database contains bidirectional mappings between full metric names (including tags) and integer-based keys which are used internally to refer to metrics. It also records collection activity periods on each metric.

The database is scanned and loaded into memory when IRONdb starts. The timing of this load is recorded in the startup log. Its size is determined by the cardinality (unique uuid-metricname-tag combinations) of metrics stored on the node.

<surrogate_database location="/irondb/surrogate_db/{node}"

surrogate_database db_type

Historically, the surrogate database is stored in RocksDB, and loaded into RAM on startup. This is often referred to as surrogate2. As of 0.23.5, the db_type field can be set to flat_buffers also known as surrogate3 and on next boot, will be converted into on-disk flatbuffers that no longer must keep all metrics in RAM. This version is referred to as surrogate3. This conversion is one way, and will eventually become the default.

Default: rocksdb

surrogate_database cache_init_size

Under surrogate2, the size of the initial in-memory table for the surrogate database. For best performance, it should be sized to either 130% of the on-disk surrogate entry count (visible in the startup log), or 1,000,000, whichever is greater.

Default: 1000000

surrogate_database load_concurrency

The number of parallel threads used for initially populating the cache when IRONdb starts.

This setting is deprecated under surrogate3.

Default: The number of physical processor cores in the system.

surrogate_database activity_tracking

Toggle for maintaining activity window metadata for metrics.

Default: true

surrogate_database implicit_latest

Toggle for maintaining an in-memory copy of the latest values for all newly seen metrics values during ingestion. If set to false, it will only maintain latest values for metrics that have been specifically “asked for” via a tag search.

Default: false

surrogate_database latest_future_bound

This is the upper bound on whether a metric will be considered as a “latest value” candidate. By default if a metric timestamp is more than 4 hours in the future, it will be ignored for consideration as a replacement for the latest value. These values are only updated at ingestion time.

This value can be from 0s (ignore any future timestamps) to 4h (maximum).

Default: 4h

surrogate_database asynch_update_journal_path

The directory path to a write-ahead log used to batch updates to the surrogate database for increased performance. The log will be created in a subdirectory of the given path, called surrogate_updates.

Default: no write-ahead log is used.


This database stanza controls where IRONdb keeps certain aspects of its indexes.

<metric_name_database location="/irondb/metric_name_db/{node}"

The database of stored metric names. This database is used to satisfy graphite /metrics/find queries. By default, this database will cache 1000 queries for 900 seconds. Any newly arriving metric names will invalidate the cache so subsequent queries are correct.

metric_name_database enable_level_indexing

Level indexing is used for graphite-style query acceleration. For large clusters that do not user graphite-style metrics, it may improve memory/CPU utilization to disable this index.

Default: true

metric_name_database materialize_after

The number of mutations that must occur before the system will flush to disk and trigger a compaction to occur, draining the jlog of queued updates.

Default: 100,000

metric_name_database location

The location on disk where the database files reside.

metric_name_database query_cache_size

The number of incoming graphite/find queries to cache the results for.

Default: 1000

metric_name_database query_cache_timeout

The number of seconds that cached queries should remain in the cache before being expired.

Default: 900


<journal concurrency="4"

Journals are write-ahead logs for replicating metric data to other nodes. Each node has one journal for each of its cluster peers.

journal concurrency

Establishes this number of concurrent threads for writing to each peer journal, improving ingestion throughput.

Default: 4

A concurrency of 4 is enough to provide up to 700K measurements/second throughput, and is not likely to require adjustment except in the most extreme cases.

journal replicate_concurrency

Attempt to maintain this number of in-flight HTTP transactions, per peer journal, for posting replication data to peers. Higher concurrency helps keep up with ingestion at scale.

Each thread reads a portion of the journal log and is responsible for sending that portion to the peer. When it finishes its portion, and there are fewer than replicate_concurrency other jobs in flight for that peer, it skips ahead to the next “unclaimed” portion of the log and resumes sending.

Default: 4

Prior to version 0.15.3, the default was 1.

journal max_bundled_messages

Outbound journal messages will be sent in batches of up to this number, improving replication speed.

Default: 50000

journal max_total_timeout_ms

A node sending replication journals to its peers will allow up to this amount of time, in milliseconds, for the remote node to receive and process a batch. If nodes are timing out while processing incoming journal batches, increasing this timeout may give them enough time, avoiding repeatedly sending the same batch.

Default: 10000 (10 seconds)

journal pre_commit_size

An in-memory buffer of this number of bytes will be used to hold new journal writes, which will be flushed to the journal when full. This can improve ingestion throughput, at the risk of losing up to this amount of data if the system should fail before commit. To disable the pre-commit buffer, set this attribute to 0.

Default: 131072 (128 KB)

journal send_compressed

When sending journal messages to a peer, compress the messages before sending to save bandwidth, at the cost of sligtly more CPU usage. The bandwidth savings usually outweigh the cost of compression.

Default: true

journal use_indexer

Spawn a dedicated read-ahead thread to build JLog indexes of upcoming segments in the write-ahead log for each remote node. This is only needed in the most extreme cases where the highest replication throughput is required. Almost all other installations will not notice any slowdown from indexing “on demand”, as new segments are encountered.

Note that this will spawn one extra thread per journal (there is one journal for every remote node in the cluster.) For example, activating this feature will spawn 15 additional threads on each node in a 16-node cluster.

Default: false


<topology path="/opt/circonus/etc/irondb-topo"
          active="(hash value)"

The topology node instructs IRONdb where to find its current cluster configuration. The path is the directory where the imported topology config lives, which was created during setup. active indicates the hash of the currently-active topology. next is currently unused. The redo path is where journals are located for this topology.

No manual configuration of these settings is necessary.

Module Config

The integration modules that provide support for ingesting Graphite and/or OpenTSDB data have optional configuration, described below. These settings are placed in the main irondb.conf file, as children of the <snowth> node (i.e., peers of <logs>, <topology>, etc.) If omitted, the defaults shown below will be used.

Graphite Config

<graphite min_rollup_span_ms="60000" max_ingest_age="365d">
  <whisper directory="/opt/graphite/storage/whisper"

graphite max_ingest_age

The maximum offset into the past from “now” that will be accepted. Value may be any valid libmtev time duration. If importing older data, it may be necessary to increase this value.

Default: 1 year

graphite min_rollup_span_ms

The smallest rollup period that is being collected. This prevents gaps when requesting data at shorter intervals.

Default: 1 minute

graphite whisper

The whisper entity configures read access to Whisper database files. Each entity refers to the top of a directory hierarchy containing Whisper database files. This directory may exist on a local filesystem, or on a shared network-filesystem mountpoint. Any Whisper databases discovered in scanning this directory hierarchy with the whisper_loader tool (see link above) will be indexed for searching and querying.

Note that regardless of filesystem choice, it is highly desirable to mount it read-only on each cluster node. This becomes a requirement if using a shared storage volume in the cloud.

Multiple whisper entitites may be configured, each representing a logically distinct Graphite installation. Using different values for check_uuid and (potentially) account_id will segregate these metrics from others.

graphite whisper directory

The directory attribute is required, and indicates the start of a hierarchy of directories containing Whisper database files. This path may exist on the local filesystem, or on a network-mounted filesystem.

For example, to locate a Whisper database stored at /opt/graphite/storage/whisper/foo/bar.wsp, set the directory attribute to "/opt/graphite/storage/whisper". The metric will be indexed as

Each whisper entity must have a unique, non-overlapping directory value. For example, it is an error to configure one with /foo and another with /foo/bar.

graphite whisper check_uuid

The check_uuid attribute is required, and namespaces the contained metrics within IRONdb. This UUID may be arbitrarily chosen, but if the metrics in this collection are the same as those being currently ingested directly into IRONdb, it may be desirable to use the same check_uuid value as the corresponding listener.

graphite whisper account_id

The account_id attribute is required, and namespaces the contained metrics within IRONdb. This ID may be arbitrarily chosen, but if the metrics in this collection are the same as those being currently ingested directly into IRONdb, it may be desirable to use the same account_id value as the corresponding listener.

OpenTSDB Config

<opentsdb max_ingest_age="365d"/>

opentsdb max_ingest_age

The maximum offset into the past from “now” that will be accepted. Value may be any valid libmtev time duration. If importing older data, it may be necessary to increase this value.

Default: 1 year

Included Files



<watchdog glider="/opt/circonus/bin/backwash" tracedir="/opt/circonus/traces"/>

The watchdog configuration specifies a handler, known as a “glider”, that is to be invoked when a child process crashes or hangs. See the libmtev watchdog documentation.

If crash handling is turned on, the glider is what invokes the tracing, producing one or more files in the tracedir. Otherwise, it just reports the error and exits.


The eventer configuration contains libmtev eventer configuration.

This file contains default settings for event loops and job queues. Overrides should be placed in irondb-eventer-site.conf.

Event Loop Configuration

Settings in here should generally not be changed unless directed by Circonus Support.

Job Queue Configuration

Many parts of IRONdb’s functionality are handled within pools of threads that form “job queues” (abbreviated as jobq). Any actions that may block for some period of time, such as querying for data, performing rollups, etc. are handled asynchronously via these queues.

The value of each jobq_NAME is one or more comma-separated values:


Concurrency is required; all others are optional, but position is significant. For example, overriding the backlog value will require min, max, and memory_safety to be filled in as well.

As with event loop settings, the job queue defaults are suitable for a wide range of workloads, so changes should be carefully tested to ensure they do not reduce performance or cause instability.

To override a jobq named foo, which might be defined by default as:


Place a line in the site configuration file with one or more different values, preserving the others:


The above would increase the desired concurrency from 4 to 8, keeping the minimum of 1 and maximum of 24.


See the comment at the top of the file for how to override eventer settings. This file is included from irondb-eventer.conf.

This file’s contents will be preserved across package updates.


Contains options for vendor-supplied libmtev dynamically-loadable modules.

Settings in this file should not be changed.


See the comment at the top of the file for how to configure optional modules. This file is included from irondb-modules.conf.

This file’s contents will be preserved across package updates.


See the comment at the top of the file for how to add or override extension configuration. This file is included from irondb-modules.conf.

This file’s contents will be preserved across package updates.


This file holds any and all licenses that apply to this IRONdb node. Refer to the installation steps for details on obtaining and installing licenses.

In a cluster, the license configuration must be the same on all cluster nodes.

If no license is configured, an embedded license is used, which enables all features described below with a limit of 25,000 active streams (max_streams).

Licensed Features

The IRONdb license governs the following functionality:

License Term

Name: <expiry>

After this unix timestamp the license is invalid and will no longer work for any of the below.

Ingest Cardinality

Name: <max_streams>

How many unique time series (uniquely named streams of data) this installation can ingest in the most recent 5-minute period.

This number applies to all nodes in the cluster although each node applies this restriction individually. The math for unique streams is an estimate in the past 5 minutes and you are given a 15% overage before ingestion is affected.

If this license is violated, ingestion will stop for the remainder of the 5-minute period that the violation was detected. After the 5-minute period ends, the counter will reset to test the new 5-minute period.

Enablement of Lua Extensions

Name: <lua_extension>

Whether or not Lua extensions will operate.

Stream Tags Support

Name: <stream_tags>

Whether or not stream tag related API calls and stream tag ingestion will work. If you do not have this license and stream tagged data arrives it will be silently discarded.

Histogram Support

Name: <histograms>

Whether or not histograms can be ingested. If you do not have this license and attempt to ingest histogram data it will be silently discarded.

Text Metric Support

Name: <text>

Whether or not text metrics can be ingested. If you do not have this license and attempt to ingest text data it will be silently discarded.

Obtain A License

If you are interested in any of the above functionality and do not currently have a license please contact to upgrade your license.