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create a working example of vector internal metrics monitoring #12
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# Vector internal metrics monitoring | ||
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This demo shows how to monitor Vector's [internal metrics](https://vector.dev/docs/reference/configuration/sources/internal_metrics/) using [Prometheus](https://prometheus.io/). | ||
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## How to start it | ||
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To start it, you first need to clone this repository, go into the `internal-metrics-monitoring` folder and run `docker-compose up`. | ||
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version: '3.9' | ||
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services: | ||
vector: | ||
image: timberio/vector:latest-alpine | ||
environment: | ||
- LOG=info | ||
networks: | ||
- backend | ||
volumes: | ||
- ./vector:/etc/vector:ro | ||
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prometheus: | ||
image: bitnami/prometheus:latest | ||
networks: | ||
- backend | ||
ports: | ||
- 9090:9090 | ||
volumes: | ||
- ./prometheus/prometheus.yml:/opt/bitnami/prometheus/conf/prometheus.yml:ro | ||
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networks: | ||
backend: {} | ||
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# my global config | ||
global: | ||
scrape_interval: 10s # Set the scrape interval to every 15 seconds. Default is every 1 minute. | ||
evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute. | ||
# scrape_timeout is set to the global default (10s). | ||
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# Attach these labels to any time series or alerts when communicating with | ||
# external systems (federation, remote storage, Alertmanager). | ||
external_labels: | ||
monitor: 'vector-monitor' | ||
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# Load rules once and periodically evaluate them according to the global 'evaluation_interval'. | ||
rule_files: | ||
# - "first.rules" | ||
# - "second.rules" | ||
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# A scrape configuration containing exactly one endpoint to scrape: | ||
# Here it's Prometheus itself. | ||
scrape_configs: | ||
# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config. | ||
- job_name: 'activity' | ||
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# metrics_path defaults to '/metrics' | ||
# scheme defaults to 'http'. | ||
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static_configs: | ||
- targets: ['vector:9090'] |
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[sources.random] | ||
type = "demo_logs" | ||
format = "json" | ||
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[sinks.blackhole] | ||
type = "blackhole" | ||
inputs = ["random"] | ||
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[sources.internal_metrics] | ||
type = "internal_metrics" | ||
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[sinks.prometheus] | ||
type = "prometheus_exporter" | ||
inputs = ["internal_metrics"] | ||
address = "0.0.0.0:9090" |
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This isn't blocking, but in general I feel like we should keep the Docker Compose configurations as simple as possible. In this case, Compose automatically creates a
default
network, which makes an explicit network like this unnecessary.