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Prometheus

Expose metrics related to Kong and proxied Upstream services in Prometheus exposition format, which can be scraped by a Prometheus Server.

Configuration Reference

This plugin is compatible with requests with the following protocols:

  • http
  • https
  • tcp
  • tls
  • grpc
  • grpcs

This plugin is not compatible with DB-less mode.

The database will always be reported as reachable in Prometheus with DB-less.

Enable the plugin on a service

Admin API
Kubernetes
Declarative (YAML)
Konnect Cloud
Manager

For example, configure this plugin on a service by making the following request:

curl -X POST http://{HOST}:8001/services/{SERVICE}/plugins \
    --data "name=prometheus"

SERVICE is the id or name of the service that this plugin configuration will target.

First, create a KongPlugin resource:

apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
  name: <prometheus-example>
config:
  <optional_parameter>: <value>
plugin: prometheus

Next, apply the KongPlugin resource to a Service by annotating the Service as follows:

apiVersion: v1
kind: Service
metadata:
  name: {SERVICE}
  labels:
    app: {SERVICE}
  annotations:
    konghq.com/plugins: <prometheus-example>
spec:
  ports:
  - port: 80
    targetPort: 80
    protocol: TCP
    name: {SERVICE}
  selector:
    app: {SERVICE}

{SERVICE} is the id or name of the service that this plugin configuration will target.

Note: The KongPlugin resource only needs to be defined once and can be applied to any service, consumer, or route in the namespace. If you want the plugin to be available cluster-wide, create the resource as a KongClusterPlugin instead of KongPlugin.

For example, configure this plugin on a service by adding this section to your declarative configuration file:

plugins:
- name: prometheus
  service: {SERVICE}
  config:
    <optional_parameter>: <value>

SERVICE is the id or name of the service that this plugin configuration will target.

Configure this plugin on a service:

  1. In Konnect Cloud, select the service on the ServiceHub page.
  2. Scroll down to Versions and select the version.
  3. Scroll down to Plugins and click New Plugin.
  4. Find and select the Prometheus plugin.
  5. Click Create.

Configure this plugin on a service:

  1. In Kong Manager, select the workspace.
  2. From the Dashboard, scroll down to Services and click View for the service row.
  3. Scroll down to plugins and click Add Plugin.

  4. Find and select the Prometheus plugin.

    Note: If the plugin is greyed out, then it is not available for your product tier. See Kong Gateway tiers.
  5. If the option is available, select Scoped.
  6. Add the service name and ID to the Service field if it is not already prefilled.
  7. Click Create.

Enable the plugin globally

A plugin which is not associated to any service, route, or consumer is considered global, and will be run on every request. Read the Plugin Reference and the Plugin Precedence sections for more information.

Admin API
Kubernetes
Declarative (YAML)
Kong Manager

For example, configure this plugin globally with:

$ curl -X POST http://{HOST}:8001/plugins/ \
    --data "name=prometheus"

Create a KongClusterPlugin resource and label it as global:

apiVersion: configuration.konghq.com/v1
kind: KongClusterPlugin
metadata:
  name: <global-prometheus>
  annotations:
    kubernetes.io/ingress.class: kong
  labels:
    global: \"true\"
config:
  <optional_parameter>: <value>
plugin: prometheus

For example, configure this plugin using the plugins: entry in the declarative configuration file:

plugins:
- name: prometheus
  config:
    <optional_parameter>: <value>

Configure this plugin globally:

  1. In Kong Manager, select the workspace.
  2. From the Dashboard, select Plugins in the left navigation.
  3. Click New Plugin.

  4. Find and select the Prometheus plugin.

    Note: If the plugin is greyed out, then it is not available for your product tier. See Kong Gateway tiers.
  5. If the option is available, set the plugin scope to Global.
  6. Click Create.

Parameters

Here's a list of all the parameters which can be used in this plugin's configuration:

Form Parameter Description
name

Type: string

required		 The name of the plugin to use, in this case prometheus.
service.id

Type: string		 The ID of the Service the plugin targets.
enabled

Type: boolean

required

Default value: true		 Whether this plugin will be applied.
config.per_consumer
optional

Type: boolean

Default value: false

A boolean value that determines if per-consumer metrics should be collected. If enabled, a kong_http_consumer_status metric is added to exported metrics.

New in 1.4.x

  • New data_plane_cluster_cert_expiry_timestamp metric
  • Added subsystem label to Upstream Target health metrics

Metrics are available on both the Admin API and Status API at the http://localhost:<port>/metrics endpoint. Note that the URL to those APIs will be specific to your installation; see Accessing the metrics below.

This plugin records and exposes metrics at the node level. Your Prometheus server will need to discover all Kong nodes via a service discovery mechanism, and consume data from each node’s configured /metrics endpoint.

Grafana dashboard

Metrics exported by the plugin can be graphed in Grafana using a drop in dashboard: https://grafana.com/dashboards/7424.

Available metrics

  • Status codes: HTTP status codes returned by Upstream services. These are available per service, across all services, and per route per consumer.
  • Latencies Histograms: Latency as measured at Kong:
    • Request: Total time taken by Kong and Upstream services to serve requests.
    • Kong: Time taken for Kong to route a request and run all configured plugins.
    • Upstream: Time taken by the Upstream service to respond to requests.
  • Bandwidth: Total Bandwidth (egress/ingress) flowing through Kong. This metric is available per service and as a sum across all services.
  • DB reachability: A gauge type with a value of 0 or 1, which represents whether DB can be reached by a Kong node.
  • Connections: Various Nginx connection metrics like active, reading, writing, and number of accepted connections.
  • Target Health: The healthiness status (healthchecks_off, healthy, unhealthy, or dns_error) of Targets belonging to a given Upstream as well as their subsystem (http or stream).
  • Dataplane Status: The last seen timestamp, config hash, config sync status and certificate expiration timestamp for data plane nodes is exported to control plane.
  • Enterprise License Information: The Kong Gateway license expiration date, features and license signature. Those metrics are only exported on Kong Gateway.

Here is an example of output you could expect from the /metrics endpoint:

$ curl -i http://localhost:8001/metrics
HTTP/1.1 200 OK
Server: openresty/1.15.8.3
Date: Tue, 7 Jun 2020 16:35:40 GMT
Content-Type: text/plain; charset=UTF-8
Transfer-Encoding: chunked
Connection: keep-alive
Access-Control-Allow-Origin: *

# HELP kong_bandwidth Total bandwidth in bytes consumed per service/route in Kong
# TYPE kong_bandwidth counter
kong_bandwidth{type="egress",service="google",route="google.route-1"} 1277
kong_bandwidth{type="ingress",service="google",route="google.route-1"} 254
# HELP kong_datastore_reachable Datastore reachable from Kong, 0 is unreachable
# TYPE kong_datastore_reachable gauge
kong_datastore_reachable 1
# HELP kong_http_consumer_status HTTP status codes for customer per service/route in Kong
# TYPE kong_http_consumer_status counter
kong_http_consumer_status{service="s1",route="s1.route-1",code="200",consumer="<CONSUMER_USERNAME>"} 3
# HELP kong_http_status HTTP status codes per service/route in Kong
# TYPE kong_http_status counter
kong_http_status{code="301",service="google",route="google.route-1"} 2
# HELP kong_latency Latency added by Kong, total request time and upstream latency for each service in Kong
# TYPE kong_latency histogram
kong_latency_bucket{type="kong",service="google",route="google.route-1",le="00001.0"} 1
kong_latency_bucket{type="kong",service="google",route="google.route-1",le="00002.0"} 1
.
.
.
kong_latency_bucket{type="kong",service="google",route="google.route-1",le="+Inf"} 2
kong_latency_bucket{type="request",service="google",route="google.route-1",le="00300.0"} 1
kong_latency_bucket{type="request",service="google",route="google.route-1",le="00400.0"} 1
.
.
kong_latency_bucket{type="request",service="google",route="google.route-1",le="+Inf"} 2
kong_latency_bucket{type="upstream",service="google",route="google.route-1",le="00300.0"} 2
kong_latency_bucket{type="upstream",service="google",route="google.route-1",le="00400.0"} 2
.
.
kong_latency_bucket{type="upstream",service="google",route="google.route-1",le="+Inf"} 2
kong_latency_count{type="kong",service="google",route="google.route-1"} 2
kong_latency_count{type="request",service="google",route="google.route-1"} 2
kong_latency_count{type="upstream",service="google",route="google.route-1"} 2
kong_latency_sum{type="kong",service="google",route="google.route-1"} 2145
kong_latency_sum{type="request",service="google",route="google.route-1"} 2672
kong_latency_sum{type="upstream",service="google",route="google.route-1"} 527
# HELP kong_nginx_http_current_connections Number of HTTP connections
# TYPE kong_nginx_http_current_connections gauge
kong_nginx_http_current_connections{state="accepted"} 8
kong_nginx_http_current_connections{state="active"} 1
kong_nginx_http_current_connections{state="handled"} 8
kong_nginx_http_current_connections{state="reading"} 0
kong_nginx_http_current_connections{state="total"} 8
kong_nginx_http_current_connections{state="waiting"} 0
kong_nginx_http_current_connections{state="writing"} 1
# HELP kong_memory_lua_shared_dict_bytes Allocated slabs in bytes in a shared_dict
# TYPE kong_memory_lua_shared_dict_bytes gauge
kong_memory_lua_shared_dict_bytes{shared_dict="kong",kong_subsystem="http"} 40960
.
.
# HELP kong_memory_lua_shared_dict_total_bytes Total capacity in bytes of a shared_dict
# TYPE kong_memory_lua_shared_dict_total_bytes gauge
kong_memory_lua_shared_dict_total_bytes{shared_dict="kong",kong_subsystem="http"} 5242880
.
.
# HELP kong_memory_workers_lua_vms_bytes Allocated bytes in worker Lua VM
# TYPE kong_memory_workers_lua_vms_bytes gauge
kong_memory_workers_lua_vms_bytes{pid="7281",kong_subsystem="http"} 41124353
# HELP kong_data_plane_config_hash Config hash value of the data plane
# TYPE kong_data_plane_config_hash gauge
kong_data_plane_config_hash{node_id="d4e7584e-b2f2-415b-bb68-3b0936f1fde3",hostname="ubuntu-bionic",ip="127.0.0.1"} 1.7158931820287e+38
# HELP kong_data_plane_last_seen Last time data plane contacted control plane
# TYPE kong_data_plane_last_seen gauge
kong_data_plane_last_seen{node_id="d4e7584e-b2f2-415b-bb68-3b0936f1fde3",hostname="ubuntu-bionic",ip="127.0.0.1"} 1600190275
# HELP kong_data_plane_version_compatible Version compatible status of the data plane, 0 is incompatible
# TYPE kong_data_plane_version_compatible gauge
kong_data_plane_version_compatible{node_id="d4e7584e-b2f2-415b-bb68-3b0936f1fde3",hostname="ubuntu-bionic",ip="127.0.0.1",kong_version="2.4.1"} 1
# HELP kong_nginx_metric_errors_total Number of nginx-lua-prometheus errors
# TYPE kong_nginx_metric_errors_total counter
kong_nginx_metric_errors_total 0
# HELP kong_upstream_target_health Health status of targets of upstream. States = healthchecks_off|healthy|unhealthy|dns_error, value is 1 when state is populated.
kong_upstream_target_health{upstream="<upstream_name>",target="<target>",address="<ip>:<port>",state="healthchecks_off",subsystem="http"} 0
kong_upstream_target_health{upstream="<upstream_name>",target="<target>",address="<ip>:<port>",state="healthy",subsystem="http"} 1
kong_upstream_target_health{upstream="<upstream_name>",target="<target>",address="<ip>:<port>",state="unhealthy",subsystem="http"} 0
kong_upstream_target_health{upstream="<upstream_name>",target="<target>",address="<ip>:<port>",state="dns_error",subsystem="http"} 0

Note: Upstream targets’ health information is exported once per subsystem. If both stream and HTTP listeners are enabled, targets’ health will appear twice. Health metrics have a subsystem label to indicate which subsystem the metric refers to.

Accessing the metrics

In most configurations, the Kong Admin API will be behind a firewall or would need to be set up to require authentication. Here are a couple of options to allow access to the /metrics endpoint to Prometheus:

  1. If the Status API is enabled, then its /metrics endpoint can be used. This is the preferred method.

  2. The /metrics endpoint is also available on the Admin API, which can be used if the Status API is not enabled. Note that this endpoint is unavailable when RBAC is enabled on the Admin API (Prometheus does not support Key-Auth to pass the token).