Using remote_write facility (see https://prometheus.io/docs/prometheus/latest/configuration/configuration/#remote_write) to send metrics to remote Prometheus from NodeJS app.
Pretty much anything from https://prometheus.io/docs/operating/integrations/#remote-endpoints-and-storage should be supported, but tested only with grafana.com:
- AppOptics
- AWS Timestream
- Azure Data Explorer
- Azure Event Hubs
- Chronix
- Cortex
- CrateDB
- Elasticsearch
- Gnocchi
- Google BigQuery
- Google Cloud Spanner
- Graphite
- InfluxDB
- Instana
- IRONdb
- Kafka
- M3DB
- New Relic
- OpenTSDB
- PostgreSQL/TimescaleDB
- QuasarDB
- SignalFx
- Splunk
- Sysdig Monitor
- TiKV
- Thanos
- VictoriaMetrics
- Wavefront
(List copied from https://github.com/prometheus/docs/blob/main/content/docs/operating/integrations.md)
import pushTimeseries from "prometheus-remote-write";
const config = {
// Remote url
url: "http://localhost:9201",
// Auth settings
auth: {
username: "...",
password: "...",
},
// Optional prometheus protocol descripton .proto/.json
proto: undefined,
// Logging & debugging, disabled by default
console: undefined,
verbose: false,
timing: false,
// Override used node-fetch
fetch: undefined,
// Additional labels to apply to each timeseries, i.e. [{ service: "SQS" }]
labels: undefined
};
// Follows remote_write payload format (see https://github.com/prometheus/prometheus/blob/main/prompb/types.proto)
await pushTimeseries(
{
labels: {
__name__: "queue_depth_total",
instance: "dev.example.com",
service: "SQS",
},
samples: [
{
value: 150,
timestamp: Date.now(),
},
],
},
config
)
// Simpler push
await pushMetrics({ queue_depth_total: 150 }, config)
- https://prometheus.io/docs/prometheus/latest/configuration/configuration/#remote_write
- https://grafana.com/docs/grafana-cloud/metrics-prometheus/
- https://docs.newrelic.com/docs/infrastructure/prometheus-integrations/install-configure-remote-write/set-your-prometheus-remote-write-integration/
- https://prometheus.io/docs/operating/integrations/#remote-endpoints-and-storage