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.. | ||
docker-compose.yml | ||
README.md | ||
scrape.yml | ||
vector.toml |
Docker compose Vector integration with VictoriaLogs for docker
The folder contains the example of integration of vector with Victorialogs
To spin-up environment run the following command:
docker compose up -d
To shut down the docker-compose environment run the following command:
docker compose down
docker compose rm -f
The docker compose file contains the following components:
- vector - vector is configured to collect logs from the
docker
, you can find configuration in thevector.toml
. It writes data in VictoriaLogs. It pushes metrics to VictoriaMetrics. - VictoriaLogs - the log database, it accepts the data from
vector
by elastic protocol - VictoriaMetrics - collects metrics from
VictoriaLogs
andVictoriaMetrics
Querying the data
- vmui - a web UI is accessible by
http://localhost:9428/select/vmui
- for querying the data via command-line please check these docs
the example of vector configuration(vector.toml
)
[sources.docker]
type = "docker_logs"
[transforms.msg_parser]
type = "remap"
inputs = ["docker"]
source = '''
.log = parse_json!(.message)
del(.message)
'''
[sinks.vlogs]
type = "elasticsearch"
inputs = [ "msg_parser" ]
endpoints = [ "http://victorialogs:9428/insert/elasticsearch/" ]
mode = "bulk"
api_version = "v8"
compression = "gzip"
healthcheck.enabled = false
[sinks.vlogs.query]
_msg_field = "log.msg"
_time_field = "timestamp"
_stream_fields = "source_type,host,container_name"
[sinks.vlogs.request.headers]
AccountID = "0"
ProjectID = "0"
Please, note that _stream_fields
parameter must follow recommended best practices to achieve better performance.