date | title | description | authors | pr_numbers | release | hide_on_release_notes | badges | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-12-23 |
The `internal_logs` source |
A new source for observing Vector itself |
|
0.12.0 |
false |
|
Vector has a new internal_logs
source that you can use to
process log events produced by Vector itself. Here's an example Vector log
message:
{
"*": null,
"message": "Vector has started.",
"metadata": {
"kind": "event",
"level": "TRACE",
"module_path": "vector::internal_events::heartbeat",
"target": "vector"
},
"timestamp": "2020-10-10T17:07:36+00:00"
}
internal_logs
is a helpful accompaniment to the
internal_metrics
source, which exports Vector's own
metrics and modify and ship them however you wish.
Here's an example Vector configuration that ships Vector's logs to Splunk and allows its internal metrics to be scraped by Prometheus:
[sources.vector_logs]
type = "internal_logs"
[sources.vector_metrics]
type = "internal_metrics"
[sinks.splunk]
type = "splunk_hec"
inputs = ["vector_logs"]
endpoint = "https://my-account.splunkcloud.com"
token = "${SPLUNK_HEC_TOKEN}"
encoding.codec = "json"
[sinks.prometheus]
type = "prometheus"
inputs = ["vector_metrics"]
address = "0.0.0.0:9090"