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Version: 3.2.0

Metrics with Prometheus

Prometheus is a popular systems monitoring and alerting toolkit. It collects and stores multi-dimensional time series data like metrics with key-value paired labels.

APISIX supports exposing the key internal metrics to Prometheus, such as bandwidth, connections, latency, etc. It helps users to monitor the status of APISIX and diagnose problems. Meanwhile, APISIX efficiently computes large-scale metrics through the privileged agent while significantly reducing Prometheus delay.

This guide will show you how to enable the prometheus plugin, and set up the Prometheus and Grafana services to collect and visualize the HTTP metrics of APISIX.


  • Install Docker to deploy containerized Prometheus and Grafana.
  • Install cURL to send requests to the services for validation.
  • Install and run APISIX, or follow the Getting Started tutorial to start a new instance in Docker.

This guide assumes that you use the containerized APISIX created in "Getting Started". The APISIX instance joins a docker network named apisix-quickstart-net with the hostname apisix-quickstart. Therefore, all services (including Prometheus and Grafana) must join this network first to access APISIX. If you install APISIX using other methods, you will need to modify the command arguments to ensure that the network works properly.

Enable Prometheus Plugin

The prometheus plugin can be enabled on a specific route. Let's create a route connecting to an example upstream You can enable the prometheus plugin by adding "prometheus": {} in the plugins option.

curl -i "" -X PUT -d '
"id": "ip",
"uri": "/ip",
"plugins": {
"upstream": {
"type": "roundrobin",
"nodes": {
"": 1

APISIX gathers internal runtime metrics and exposes them through port 9091 and path /apisix/prometheus/metrics by default. The port and path are supported to be customized in APISIX. You can use the command below to fetch metrics from APISIX directly:

docker exec apisix-quickstart curl -sL "http://apisix-quickstart:9091/apisix/prometheus/metrics"

If everything is OK, you will get metrics similar to the following:

# HELP apisix_etcd_modify_indexes Etcd modify index for APISIX keys
# TYPE apisix_etcd_modify_indexes gauge
apisix_etcd_modify_indexes{key="consumers"} 0
apisix_etcd_modify_indexes{key="global_rules"} 0
apisix_etcd_modify_indexes{key="max_modify_index"} 16
apisix_etcd_modify_indexes{key="prev_index"} 15
apisix_etcd_modify_indexes{key="protos"} 0
apisix_etcd_modify_indexes{key="routes"} 16
apisix_etcd_modify_indexes{key="services"} 0
apisix_etcd_modify_indexes{key="ssls"} 0
apisix_etcd_modify_indexes{key="stream_routes"} 0
apisix_etcd_modify_indexes{key="upstreams"} 0
apisix_etcd_modify_indexes{key="x_etcd_index"} 16
# HELP apisix_etcd_reachable Config server etcd reachable from APISIX, 0 is unreachable
# TYPE apisix_etcd_reachable gauge
apisix_etcd_reachable 1
# HELP apisix_http_status HTTP status codes per service in APISIX
# TYPE apisix_http_status counter
apisix_http_status{code="200",route="ip",matched_uri="/ip",matched_host="",service="",consumer="",node=""} 1

Configure Prometheus

Targets are monitored objects in Prometheus. You can configure the APISIX metric endpoint as a target in the Prometheus configuration file prometheus.yml.

echo 'scrape_configs:
- job_name: "apisix"
scrape_interval: 15s
metrics_path: "/apisix/prometheus/metrics"
- targets: ["apisix-quickstart:9091"]
' > prometheus.yml

Let's start a Prometheus instance in Docker. The exposed port is mapped to 9092 on the host because 9090 is reserved for APISIX. The local configuration file prometheus.yml is mounted to the Prometheus container.

docker run -d --name apisix-quickstart-prometheus \
-p 9092:9090 \
--network=apisix-quickstart-net \
-v $(pwd)/prometheus.yml:/etc/prometheus/prometheus.yml \

You can now check if the state is "UP" on the Prometheus webpage. Prometheus will collect metrics from APISIX by scraping its metric HTTP endpoint.


Configure Grafana

Grafana can visualize metrics stored in Prometheus. Let's start a Grafana instance on port 3000 in Docker.

docker run -d --name=apisix-quickstart-grafana \
-p 3000:3000 \
--network=apisix-quickstart-net \

Add the Prometheus instance created above to Grafana as a data source:

Grafana Data Source

The official APISIX metric dashboard is published to Grafana dashboards with ID 11719. You can then import the dashboard into Grafana with the ID.

Import Dashboard

If everything is OK, the dashboard will automatically visualize metrics in real time.

Grafana Dashboard

Disable Prometheus Plugin

To disable the prometheus Plugin, you can set the _meta.disable parameter to true.

curl "" -X PATCH -d '
"plugins": {
"prometheus": {
"_meta": {
"disable": true

Next Steps

You have now learned how to enable APISIX metrics with Prometheus and visualize them in Grafana. Explore other resources in How-To Guide to customize your APISIX experience. Logo

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