dhi.io/ricoberger-script-exporter
Prometheus exporter to execute scripts and collect metrics from the output or the exit status.
All examples in this guide use the public image. If you've mirrored the repository for your own use (for example, to your Docker Hub namespace), update your commands to reference the mirrored image instead of the public one.
For example:
dhi.io/<repository>:<tag><your-namespace>/dhi-<repository>:<tag>For the examples, you must first use docker login dhi.io to authenticate to the registry to pull the images.
This Docker Hardened ricoberger-script-exporter image includes script_exporter and the tools the upstream image gives
your scripts: bash, curl, jq, python3, ping, the core shell utilities (GNU coreutils, grep, sed and
mawk on Debian, BusyBox on Alpine) and tini, which runs as PID 1 and reaps the processes your scripts leave behind.
In the FIPS variants, script_exporter uses the Go FIPS 140-3 module, and curl and python3 use the OpenSSL FIPS
provider, so a script that asks Python for MD5 fails there. Crypto libraries a script brings itself are outside that
boundary.
Script Exporter reads scripts.yaml from its working directory, /script_exporter, unless --config.files names
another file. Create a configuration with one script, then start the exporter with both mounted where the upstream image
expects them:
$ mkdir -p prober/scripts
$ cat > scripts.yaml <<'EOF'
scripts:
- name: output
command:
- ./prober/scripts/output.sh
EOF
$ cat > prober/scripts/output.sh <<'EOF'
#!/usr/bin/env bash
echo '# HELP files_in_tmp Number of entries in /tmp.'
echo '# TYPE files_in_tmp gauge'
echo "files_in_tmp $(ls -A /tmp | wc -l)"
EOF
$ chmod 0755 prober/scripts/output.sh
$ docker run -d --name script_exporter -p 127.0.0.1:9469:9469 \
-v "$(pwd)/scripts.yaml:/script_exporter/scripts.yaml:ro" \
-v "$(pwd)/prober/scripts:/script_exporter/prober/scripts:ro" \
dhi.io/ricoberger-script-exporter:<tag>
$ curl 'http://127.0.0.1:9469/probe?script=output'
The exporter's endpoints are unauthenticated by default and the scripts run on every request, so the example binds the port to the loopback interface. Add TLS and basic authentication, as shown below, before you publish the port on other interfaces.
The response contains the script's own metrics plus script_success, script_duration_seconds, script_exit_code and
script_cached for the script. The exporter also serves its own metrics on /metrics, a health check on /-/healthy
and the configured scripts as Prometheus HTTP service discovery targets on /discovery.
Prometheus calls /probe with the script name in the script query parameter. Save this as prometheus.yml next to
the files from the previous section:
scrape_configs:
- job_name: output
metrics_path: /probe
params:
script:
- output
static_configs:
- targets:
- script_exporter:9469
- job_name: script_exporter
static_configs:
- targets:
- script_exporter:9469
Then start both services with this compose.yaml:
services:
script_exporter:
image: dhi.io/ricoberger-script-exporter:<tag>
volumes:
- ./scripts.yaml:/script_exporter/scripts.yaml:ro
- ./prober/scripts:/script_exporter/prober/scripts:ro
prometheus:
image: dhi.io/prometheus:<tag>
ports:
- 127.0.0.1:9090:9090
volumes:
- ./prometheus.yml:/etc/prometheus/prometheus.yml:ro
depends_on:
- script_exporter
$ docker compose up -d
Prometheus scrapes each target once a minute by default, so the first script_success sample can take up to a minute to
appear. Then query it:
$ curl -s 'http://127.0.0.1:9090/api/v1/query?query=script_success'
Query parameters reach the script as environment variables. The params parameter lists the ones to pass as positional
arguments, in order. When Prometheus sends its scrape timeout, the script sees SCRIPT_TIMEOUT (the timeout minus
--script.timeout-offset, 0.5 seconds by default) and SCRIPT_DEADLINE. Add a script that pings a host given as an
argument:
$ cat > prober/scripts/ping.sh <<'EOF'
#!/usr/bin/env bash
ping -c 3 "$1" > /dev/null
EOF
$ chmod 0755 prober/scripts/ping.sh
$ cat >> scripts.yaml <<'EOF'
- name: ping
command:
- ./prober/scripts/ping.sh
output:
ignore: true
EOF
$ docker restart script_exporter
$ curl 'http://127.0.0.1:9469/probe?script=ping¶ms=target&target=127.0.0.1'
script_success{script="ping"} 1 reports that ping exited zero. The exporter also reloads its configuration on
SIGHUP, on a POST to /-/reload and every --config.reload-interval (one hour by default).
Pass an
exporter-toolkit web configuration
with --web.config.file. It applies to /metrics, /probe and the web UI. The key must be readable by the image's
nonroot user:
$ mkdir -p tls
$ openssl req -x509 -newkey rsa:3072 -nodes -days 365 -subj /CN=localhost \
-addext subjectAltName=DNS:localhost -keyout tls/server.key -out tls/server.crt
$ chmod 0644 tls/server.key
$ cat > web.yml <<'EOF'
tls_server_config:
cert_file: /script_exporter/tls/server.crt
key_file: /script_exporter/tls/server.key
EOF
$ docker rm -f script_exporter
$ docker run -d --name script_exporter -p 127.0.0.1:9469:9469 \
-v "$(pwd)/scripts.yaml:/script_exporter/scripts.yaml:ro" \
-v "$(pwd)/prober/scripts:/script_exporter/prober/scripts:ro" \
-v "$(pwd)/tls:/script_exporter/tls:ro" \
-v "$(pwd)/web.yml:/script_exporter/web.yml:ro" \
dhi.io/ricoberger-script-exporter:<tag> --web.config.file=/script_exporter/web.yml
$ curl --cacert tls/server.crt 'https://localhost:9469/probe?script=output'
nobody (UID 65534). This image runs as the nonroot user, UID 65532. Scripts and
configuration you mount must be readable, and scripts executable, by that UID.9469/tcp, the exporter's default listen port.coreutils, grep, sed, mawk and iputils-ping in its place, so the other
BusyBox applets are absent there, among them find, xargs, ps, pgrep, hostname, which, tar, gzip,
diff, wget, nc, nslookup and ip. Use an Alpine variant for scripts written for the upstream image, or derive
an image from a dev variant to add the tools your scripts need.Docker Hardened Images come in different variants depending on their intended use. Image variants are identified by their tag.
Runtime variants are designed to run your application in production. These images are intended to be used either directly or as the FROM image in the final stage of a multi-stage build. These images typically:
Build-time variants typically include dev in the tag name and are intended for use in the first stage of a
multi-stage Dockerfile. These images typically:
FIPS variants include fips in the variant name and tag. They come in both runtime and build-time variants. These
variants use cryptographic modules that have been validated under FIPS 140, a U.S. government standard for secure
cryptographic operations. For example, usage of MD5 fails in FIPS variants.
To view the image variants and get more information about them, select the Tags tab for this repository, and then select a tag.
To migrate your application to a Docker Hardened Image, you must update your Dockerfile. At minimum, you must update the base image in your existing Dockerfile to a Docker Hardened Image. This and a few other common changes are listed in the following table of migration notes.
| Item | Migration note |
|---|---|
| Base image | Replace your base images in your Dockerfile with a Docker Hardened Image. |
| Package management | Non-dev images, intended for runtime, don't contain package managers. Use package managers only in images with a dev tag. |
| Non-root user | By default, non-dev images, intended for runtime, run as the nonroot user. Ensure that necessary files and directories are accessible to the nonroot user. |
| Multi-stage build | Utilize images with a dev tag for build stages and non-dev images for runtime. For binary executables, use a static image for runtime. |
| TLS certificates | Docker Hardened Images contain standard TLS certificates by default. There is no need to install TLS certificates. |
| Ports | Non-dev hardened images run as a nonroot user by default. As a result, applications in these images can't bind to privileged ports (below 1024) when running in Kubernetes or in Docker Engine versions older than 20.10. To avoid issues, configure your application to listen on port 1025 or higher inside the container. |
| Entry point | Docker Hardened Images may have different entry points than images such as Docker Official Images. Inspect entry points for Docker Hardened Images and update your Dockerfile if necessary. |
| No shell | By default, non-dev images, intended for runtime, don't contain a shell. Use dev images in build stages to run shell commands and then copy artifacts to the runtime stage. |
The following steps outline the general migration process.
Find hardened images for your app.
A hardened image may have several variants. Inspect the image tags and find the image variant that meets your needs.
Update the base image in your Dockerfile.
Update the base image in your application's Dockerfile to the hardened image you found in the previous step. For
framework images, this is typically going to be an image tagged as dev because it has the tools needed to install
packages and dependencies.
For multi-stage Dockerfiles, update the runtime image in your Dockerfile.
To ensure that your final image is as minimal as possible, you should use a multi-stage build. All stages in your
Dockerfile should use a hardened image. While intermediary stages will typically use images tagged as dev, your
final runtime stage should use a non-dev image variant.
Install additional packages
Docker Hardened Images contain minimal packages in order to reduce the potential attack surface. You may need to install additional packages in your Dockerfile. Inspect the image variants to identify which packages are already installed.
Only images tagged as dev typically have package managers. You should use a multi-stage Dockerfile to install the
packages. Install the packages in the build stage that uses a dev image. Then, if needed, copy any necessary
artifacts to the runtime stage that uses a non-dev image.
For Alpine-based images, you can use apk to install packages. For Debian-based images, you can use apt-get to
install packages.
The following are common issues that you may encounter during migration.
The hardened images intended for runtime don't contain a shell nor any tools for debugging. The recommended method for debugging applications built with Docker Hardened Images is to use Docker Debug to attach to these containers. Docker Debug provides a shell, common debugging tools, and lets you install other tools in an ephemeral, writable layer that only exists during the debugging session.
By default image variants intended for runtime, run as the nonroot user. Ensure that necessary files and directories are accessible to the nonroot user. You may need to copy files to different directories or change permissions so your application running as the nonroot user can access them.
Non-dev hardened images run as a nonroot user by default. As a result, applications in these images can't bind to
privileged ports (below 1024) when running in Kubernetes or in Docker Engine versions older than 20.10. To avoid issues,
configure your application to listen on port 1025 or higher inside the container, even if you map it to a lower port on
the host. For example, docker run -p 80:8080 my-image will work because the port inside the container is 8080, and
docker run -p 80:81 my-image won't work because the port inside the container is 81.
By default, image variants intended for runtime don't contain a shell. Use dev images in build stages to run shell
commands and then copy any necessary artifacts into the runtime stage. In addition, use Docker Debug to debug containers
with no shell.
Docker Hardened Images may have different entry points than images such as Docker Official Images. Use docker inspect
to inspect entry points for Docker Hardened Images and update your Dockerfile if necessary.