This Elastic integration collects metrics from Golang applications.
Beta feature
What is an Elastic integration?
This integration is powered by Elastic Agent. Elastic Agent is a single, unified way to add monitoring for logs, metrics, and other types of data to a host. It can also protect hosts from security threats, query data from operating systems, forward data from remote services or hardware, and more. Refer to our documentation for a detailed comparison between Beats and Elastic Agent.
Prefer to use Beats for this use case? See Filebeat modules for logs or Metricbeat modules for metrics.
See the integrations quick start guides to get started:
The Golang integration allows you to monitor a Golang application. Go is a statically typed, compiled programming language designed at Google. It is syntactically similar to C, but with memory safety, garbage collection, structural typing, and CSP-style concurrency. It is often referred to as Golang.
Use the Golang integration to:
The Golang integration collects metrics using expvar package. Metrics are exported on "/debug/vars" endpoint after importing expvar package and adding an HTTP handler.
Logs help you keep a record of state of Golang application. Log data streams collected by the Golang integration include expvar.
Data streams:
expvar
: Collects metrics like memstats, cmdline and custom (user-defined) metrics.Note:
logs-*
index pattern from Discover
.This integration has been tested against Golang versions 1.19
and 1.18
.
You need Elasticsearch for storing and searching your data and Kibana for visualizing and managing it. You can use our hosted Elasticsearch Service on Elastic Cloud, which is recommended or self-manage the Elastic Stack on your own hardware.
For step-by-step instructions on how to set up an integration, see the Getting started guide.
This is the expvar
data stream. Metrics of garbage collector, mcache structures and mspan structures can be collected using expvar
data stream. Custom metrics can also be collected under golang.expvar.custom
field.
An example event for expvar
looks as following:
{
"@timestamp": "2023-01-04T13:03:30.958Z",
"agent": {
"ephemeral_id": "9e142190-e278-4791-852f-829b4d724ed9",
"id": "688e9cab-ccca-4032-8384-7ad5f358a434",
"name": "docker-fleet-agent",
"type": "filebeat",
"version": "8.5.1"
},
"data_stream": {
"dataset": "golang.expvar",
"namespace": "ep",
"type": "logs"
},
"ecs": {
"version": "8.5.1"
},
"elastic_agent": {
"id": "688e9cab-ccca-4032-8384-7ad5f358a434",
"snapshot": false,
"version": "8.5.1"
},
"event": {
"agent_id_status": "verified",
"created": "2023-01-04T13:03:30.958Z",
"dataset": "golang.expvar",
"ingested": "2023-01-04T13:03:32Z",
"kind": "metric",
"module": "golang",
"original": "{\"cmdline\":[\"./test\"],\"memstats\":{\"Alloc\":278472,\"BuckHashSys\":3906,\"BySize\":[{\"Frees\":0,\"Mallocs\":0,\"Size\":0},{\"Frees\":53,\"Mallocs\":82,\"Size\":8},{\"Frees\":334,\"Mallocs\":735,\"Size\":16},{\"Frees\":71,\"Mallocs\":93,\"Size\":24},{\"Frees\":46,\"Mallocs\":80,\"Size\":32},{\"Frees\":196,\"Mallocs\":306,\"Size\":48},{\"Frees\":162,\"Mallocs\":190,\"Size\":64},{\"Frees\":18,\"Mallocs\":33,\"Size\":80},{\"Frees\":30,\"Mallocs\":48,\"Size\":96},{\"Frees\":17,\"Mallocs\":21,\"Size\":112},{\"Frees\":61,\"Mallocs\":68,\"Size\":128},{\"Frees\":36,\"Mallocs\":38,\"Size\":144},{\"Frees\":18,\"Mallocs\":36,\"Size\":160},{\"Frees\":0,\"Mallocs\":6,\"Size\":176},{\"Frees\":0,\"Mallocs\":0,\"Size\":192},{\"Frees\":25,\"Mallocs\":47,\"Size\":208},{\"Frees\":16,\"Mallocs\":18,\"Size\":224},{\"Frees\":0,\"Mallocs\":1,\"Size\":240},{\"Frees\":47,\"Mallocs\":62,\"Size\":256},{\"Frees\":3,\"Mallocs\":6,\"Size\":288},{\"Frees\":2,\"Mallocs\":3,\"Size\":320},{\"Frees\":53,\"Mallocs\":60,\"Size\":352},{\"Frees\":0,\"Mallocs\":1,\"Size\":384},{\"Frees\":1,\"Mallocs\":56,\"Size\":416},{\"Frees\":0,\"Mallocs\":0,\"Size\":448},{\"Frees\":0,\"Mallocs\":0,\"Size\":480},{\"Frees\":15,\"Mallocs\":15,\"Size\":512},{\"Frees\":2,\"Mallocs\":4,\"Size\":576},{\"Frees\":1,\"Mallocs\":4,\"Size\":640},{\"Frees\":1,\"Mallocs\":3,\"Size\":704},{\"Frees\":0,\"Mallocs\":0,\"Size\":768},{\"Frees\":1,\"Mallocs\":1,\"Size\":896},{\"Frees\":15,\"Mallocs\":26,\"Size\":1024},{\"Frees\":2,\"Mallocs\":4,\"Size\":1152},{\"Frees\":1,\"Mallocs\":3,\"Size\":1280},{\"Frees\":1,\"Mallocs\":1,\"Size\":1408},{\"Frees\":108,\"Mallocs\":121,\"Size\":1536},{\"Frees\":0,\"Mallocs\":4,\"Size\":1792},{\"Frees\":29,\"Mallocs\":31,\"Size\":2048},{\"Frees\":1,\"Mallocs\":3,\"Size\":2304},{\"Frees\":1,\"Mallocs\":2,\"Size\":2688},{\"Frees\":0,\"Mallocs\":0,\"Size\":3072},{\"Frees\":0,\"Mallocs\":0,\"Size\":3200},{\"Frees\":0,\"Mallocs\":0,\"Size\":3456},{\"Frees\":68,\"Mallocs\":70,\"Size\":4096},{\"Frees\":13,\"Mallocs\":15,\"Size\":4864},{\"Frees\":0,\"Mallocs\":1,\"Size\":5376},{\"Frees\":16,\"Mallocs\":17,\"Size\":6144},{\"Frees\":0,\"Mallocs\":0,\"Size\":6528},{\"Frees\":0,\"Mallocs\":0,\"Size\":6784},{\"Frees\":0,\"Mallocs\":0,\"Size\":6912},{\"Frees\":4,\"Mallocs\":6,\"Size\":8192},{\"Frees\":0,\"Mallocs\":12,\"Size\":9472},{\"Frees\":0,\"Mallocs\":0,\"Size\":9728},{\"Frees\":0,\"Mallocs\":0,\"Size\":10240},{\"Frees\":0,\"Mallocs\":0,\"Size\":10880},{\"Frees\":0,\"Mallocs\":0,\"Size\":12288},{\"Frees\":0,\"Mallocs\":0,\"Size\":13568},{\"Frees\":0,\"Mallocs\":0,\"Size\":14336},{\"Frees\":0,\"Mallocs\":0,\"Size\":16384},{\"Frees\":0,\"Mallocs\":0,\"Size\":18432}],\"DebugGC\":false,\"EnableGC\":true,\"Frees\":1598,\"GCCPUFraction\":0.00010453488922881322,\"GCSys\":8585248,\"HeapAlloc\":278472,\"HeapIdle\":2736128,\"HeapInuse\":901120,\"HeapObjects\":865,\"HeapReleased\":2564096,\"HeapSys\":3637248,\"LastGC\":1672837410834975000,\"Lookups\":0,\"MCacheInuse\":14400,\"MCacheSys\":15600,\"MSpanInuse\":63104,\"MSpanSys\":65280,\"Mallocs\":2463,\"NextGC\":4194304,\"NumForcedGC\":19,\"NumGC\":19,\"OtherSys\":1077438,\"PauseEnd\":[1672837392815676400,1672837393816946700,1672837394817801500,1672837395818876400,1672837396820657200,1672837397822115300,1672837398823296500,1672837399824033800,1672837400825333800,1672837401826484500,1672837402827608800,1672837403828212000,1672837404829356800,1672837405830248000,1672837406830978000,1672837407831748000,1672837408832323300,1672837409833831000,1672837410834975000,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\"PauseNs\":[61953,38812,89413,42429,90277,68619,117474,43316,43068,61573,45315,45976,45183,60469,199702,49007,45615,43247,42710,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\"PauseTotalNs\":1234158,\"StackInuse\":557056,\"StackSys\":557056,\"Sys\":13941776,\"TotalAlloc\":1170744}}",
"type": [
"info"
]
},
"golang": {
"expvar": {
"buck_hash_sys": {
"bytes": 3906
},
"cmdline": [
"./test"
],
"gc": {
"forced": 19,
"last_finished": {
"ns": 1672837410834975000
},
"metadata": {
"memory": {
"bytes": 8585248
}
}
},
"mcache": {
"allocated": {
"bytes": 14400
},
"obtained": {
"bytes": 15600
}
},
"mspan": {
"allocated": {
"bytes": 63104
},
"obtained": {
"bytes": 65280
}
},
"obtained": {
"miscellaneous": {
"bytes": 1077438
},
"total": {
"bytes": 13941776
}
},
"pointer": {
"lookups": 0
},
"stack": {
"bytes": 557056
}
}
},
"input": {
"type": "httpjson"
},
"service": {
"address": "http://elastic-package-service_golang_1:6060"
},
"tags": [
"preserve_original_event",
"forwarded",
"golang-expvar"
]
}
Exported fields
Field | Description | Type | Unit | Metric Type |
---|---|---|---|---|
@timestamp | Event timestamp. | date | ||
data_stream.dataset | Data stream dataset. | constant_keyword | ||
data_stream.namespace | Data stream namespace. | constant_keyword | ||
data_stream.type | Data stream type. | constant_keyword | ||
ecs.version | ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events. | keyword | ||
error.message | Error message. | match_only_text | ||
event.agent_id_status | Agents are normally responsible for populating the agent.id field value. If the system receiving events is capable of validating the value based on authentication information for the client then this field can be used to reflect the outcome of that validation. For example if the agent's connection is authenticated with mTLS and the client cert contains the ID of the agent to which the cert was issued then the agent.id value in events can be checked against the certificate. If the values match then event.agent_id_status: verified is added to the event, otherwise one of the other allowed values should be used. If no validation is performed then the field should be omitted. The allowed values are: verified - The agent.id field value matches expected value obtained from auth metadata. mismatch - The agent.id field value does not match the expected value obtained from auth metadata. missing - There was no agent.id field in the event to validate. auth_metadata_missing - There was no auth metadata or it was missing information about the agent ID. | keyword | ||
event.created | event.created contains the date/time when the event was first read by an agent, or by your pipeline. This field is distinct from @timestamp in that @timestamp typically contain the time extracted from the original event. In most situations, these two timestamps will be slightly different. The difference can be used to calculate the delay between your source generating an event, and the time when your agent first processed it. This can be used to monitor your agent's or pipeline's ability to keep up with your event source. In case the two timestamps are identical, @timestamp should be used. | date | ||
event.dataset | Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It's recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name. | keyword | ||
event.ingested | Timestamp when an event arrived in the central data store. This is different from @timestamp , which is when the event originally occurred. It's also different from event.created , which is meant to capture the first time an agent saw the event. In normal conditions, assuming no tampering, the timestamps should chronologically look like this: @timestamp < event.created < event.ingested . | date | ||
event.kind | This is one of four ECS Categorization Fields, and indicates the highest level in the ECS category hierarchy. event.kind gives high-level information about what type of information the event contains, without being specific to the contents of the event. For example, values of this field distinguish alert events from metric events. The value of this field can be used to inform how these kinds of events should be handled. They may warrant different retention, different access control, it may also help understand whether the data coming in at a regular interval or not. | keyword | ||
event.module | Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), event.module should contain the name of this module. | keyword | ||
event.original | Raw text message of entire event. Used to demonstrate log integrity or where the full log message (before splitting it up in multiple parts) may be required, e.g. for reindex. This field is not indexed and doc_values are disabled. It cannot be searched, but it can be retrieved from _source . If users wish to override this and index this field, please see Field data types in the Elasticsearch Reference . | keyword | ||
event.type | This is one of four ECS Categorization Fields, and indicates the third level in the ECS category hierarchy. event.type represents a categorization "sub-bucket" that, when used along with the event.category field values, enables filtering events down to a level appropriate for single visualization. This field is an array. This will allow proper categorization of some events that fall in multiple event types. | keyword | ||
golang.expvar.buck_hash_sys.bytes | Bytes of memory in profiling bucket hash tables. | long | byte | gauge |
golang.expvar.cmdline | The cmdline of this Go program start with. | keyword | ||
golang.expvar.gc.forced | The number of GC cycles that were forced by the application calling the GC function. | long | counter | |
golang.expvar.gc.last_finished.ns | The time the last garbage collection finished. | long | nanos | |
golang.expvar.gc.metadata.memory.bytes | Bytes of memory in garbage collection metadata. | long | byte | gauge |
golang.expvar.mcache.allocated.bytes | Bytes of allocated mcache structures. | long | byte | gauge |
golang.expvar.mcache.obtained.bytes | Bytes of memory obtained from the OS for mcache structures. | long | byte | gauge |
golang.expvar.mspan.allocated.bytes | Bytes of allocated mspan structures. | long | byte | gauge |
golang.expvar.mspan.obtained.bytes | Bytes of memory obtained from the OS for mspan structures. | long | byte | gauge |
golang.expvar.obtained.miscellaneous.bytes | Bytes of memory in miscellaneous off-heap runtime allocations. | long | byte | gauge |
golang.expvar.obtained.total.bytes | The total bytes of memory obtained from the OS. | long | byte | gauge |
golang.expvar.pointer.lookups | The number of pointer lookups performed by the runtime. | long | gauge | |
golang.expvar.stack.bytes | Bytes in stack spans. | long | byte | gauge |
input.type | Type of Filebeat input. | keyword | ||
service.address | Address where data about this service was collected from. This should be a URI, network address (ipv4:port or [ipv6]:port) or a resource path (sockets). | keyword | ||
tags | List of keywords used to tag each event. | keyword |
Version | Details |
---|---|
0.2.0 | Enhancement View pull request Golang integration package with "expvar" data stream. |
0.1.0 | Enhancement View pull request Golang integration package with "heap" data stream. |