Prometheus remote write proxy which marks timeseries with a Cortex tenant ID based on labels.
Cortex tenants (separate namespaces where metrics are stored to and queried from) are identified by X-Scope-OrgID
HTTP header on both writes and queries.
Problem is that Prometheus can't be configured to send this header Actually in some recent version (year 2021 onwards) this functionality was added, but the tenant is the same for all jobs. This makes it impossible to use a single Prometheus (or an HA pair) to write to multiple tenants.
This software solves the problem using the following logic:
- Receive Prometheus remote write
- Search each timeseries for a specific label name and extract a tenant ID from its value. If the label wasn't found then it can fall back to a configurable default ID. If none is configured then the write request will be rejected with HTTP code 400
- Optionally removes this label from the timeseries
- Groups timeseries by tenant
- Issues a number of parallel per-tenant HTTP requests to Cortex with the relevant tenant HTTP header (
X-Scope-OrgID
by default)
- Get
rpm
ordeb
for amd64 from the Releases page. For building see below.
- GET
/alive
returns 200 by default and 503 if the service is shutting down (iftimeout_shutdown
setting is > 0) - POST
/push
receives metrics from Prometheus - configure remote write to send here
Application expects the config file at /etc/cortex-tenant.yml
by default.
# Where to listen for incoming write requests from Prometheus
listen: 0.0.0.0:8080
# Profiling API, remove to disable
listen_pprof: 0.0.0.0:7008
# Where to send the modified requests (Cortex)
target: http://127.0.0.1:9091/receive
# Log level
log_level: warn
# HTTP request timeout
timeout: 10s
# Timeout to wait on shutdown to allow load balancers detect that we're going away.
# During this period after the shutdown command the /alive endpoint will reply with HTTP 503.
# Set to 0s to disable.
timeout_shutdown: 10s
# Max number of parallel incoming HTTP requests to handle
concurrency: 10
# Whether to forward metrics metadata from Prometheus to Cortex
# Since metadata requests have no timeseries in them - we cannot divide them into tenants
# So the metadata requests will be sent to the default tenant only, if one is not defined - they will be dropped
metadata: false
tenant:
# Which label to look for the tenant information
label: tenant
# Whether to remove the tenant label from the request
label_remove: true
# To which header to add the tenant ID
header: X-Scope-OrgID
# Which tenant ID to use if the label is missing in any of the timeseries
# If this is not set or empty then the write request with missing tenant label
# will be rejected with HTTP code 400
default: foobar
# Enable if you want all metrics from Prometheus to be accepted with a 204 HTTP code
# regardless of the response from Cortex. This can lose metrics if Cortex is
# throwing rejections.
accept_all: false
remote_write:
- name: cortex_tenant
url: http://127.0.0.1:8080/push
scrape_configs:
- job_name: job1
scrape_interval: 60s
static_configs:
- targets:
- target1:9090
labels:
tenant: foobar
- job_name: job2
scrape_interval: 60s
static_configs:
- targets:
- target2:9090
labels:
tenant: deadbeef
This would result in job1
metrics ending up in the foobar
tenant in cortex and job2
in deadbeef
.
make build
should create you an amd64 binary.
If you want deb
or rpm
packages then install FPM and then run make rpm
or make deb
to create the packages.
To use the current container you need to overwrite the default configuration file, mount your configuration into to /data/cortex-tenant.yml
.
You can overwrite the default config by starting the container with:
docker container run \
-v <CONFIG_LOCATION>:/data/cortex-tenant.yml \
ghcr.io/blind-oracle/cortex-tenant:1.6.1
... or build your own Docker image:
FROM ghcr.io/blind-oracle/cortex-tenant:1.6.1
ADD my-config.yml /data/cortex-tenant.yml
deploy/k8s
directory contains the deployment, service and configmap manifest files for deploying this on Kubernetes. You can overwrite the default config by editing the configuration parameters in the configmap manifest.
kubectl apply -f deploy/k8s/cortex-tenant-deployment.yaml
kubectl apply -f deploy/k8s/cortex-tenant-service.yaml
kubectl apply -f deploy/k8s/config-file-configmap.yml