# Prometheus Flux
<!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->
[![All Contributors](https://img.shields.io/badge/all_contributors-1-orange.svg?style=flat-square)](#contributors-)
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[![PyPI](https://img.shields.io/pypi/v/prometheus-flux)](https://pypi.org/project/prometheus-flux/)
Export Prometheus metrics about Flux.
🚧️ **under development** 🚧️
This tool is under development and is not ready for production use. It's fairly simple, so documentation
is provided in this README.md. To see the package on pypi:
- 📦️ [Pypi Package](https://pypi.org/project/prometheus-flux/) 📦️
## Usage
### Install
You can install from pypi or from source:
```bash
$ python -m venv env
$ source env/bin/activate
$ pip install prometheus-flux
# or
$ git clone https://github.com/converged-computing/prometheus-flux
$ cd prometheus-flux
$ pip install
# you can also do "pip install -e ."
```
This will install the executable to your path, which might be your local user bin:
```bash
$ which prometheus-flux
/home/vscode/.local/bin/prometheus-flux
```
Note that the provided [.devcontainer](.devcontainer) includes an environment for VSCode where you have Flux
and can install this and use ready to go!
### Start
You'll want to be running in a Flux instance, as we need to connect to the broker handle.
```bash
$ flux start --test-size=4
```
And then start the server. This will use a default port and host (0.0.0.0:8080) that you can customize
if desired.
```bash
$ prometheus-flux start
# customize the port or host
$ prometheus-flux start --port 9000 --host 127.0.0.1
```
As an example, when Flux is running with no jobs (and default options are used) we can open
the browser to [http://localhost:8080/metrics/](http://localhost:8080/metrics) to see:
```console
# HELP flux_queue_state_counts Gauge for the counting job states in the queue.
# TYPE flux_queue_state_counts gauge
flux_queue_state_counts{state="INACTIVE"} 2.0
# HELP flux_node_cores_counts Gauge for the counting of cores in different states.
# TYPE flux_node_cores_counts gauge
flux_node_cores_counts{state="up"} 16.0
flux_node_cores_counts{state="free"} 16.0
# HELP flux_node_counts Total number of nodes in different states
# TYPE flux_node_counts gauge
flux_node_counts{state="up"} 4.0
flux_node_counts{state="free"} 4.0
```
If you run in `--verbose` mode you'll also see metrics for the server itself:
```bash
$ prometheus-flux start --verbose
```
<details>
<summary>Example Prometheus Data Output</summary>
```
# HELP python_gc_objects_collected_total Objects collected during gc
# TYPE python_gc_objects_collected_total counter
python_gc_objects_collected_total{generation="0"} 452.0
python_gc_objects_collected_total{generation="1"} 43.0
python_gc_objects_collected_total{generation="2"} 0.0
# HELP python_gc_objects_uncollectable_total Uncollectable objects found during GC
# TYPE python_gc_objects_uncollectable_total counter
python_gc_objects_uncollectable_total{generation="0"} 0.0
python_gc_objects_uncollectable_total{generation="1"} 0.0
python_gc_objects_uncollectable_total{generation="2"} 0.0
# HELP python_gc_collections_total Number of times this generation was collected
# TYPE python_gc_collections_total counter
python_gc_collections_total{generation="0"} 85.0
python_gc_collections_total{generation="1"} 7.0
python_gc_collections_total{generation="2"} 0.0
# HELP python_info Python platform information
# TYPE python_info gauge
python_info{implementation="CPython",major="3",minor="8",patchlevel="10",version="3.8.10"} 1.0
# HELP process_virtual_memory_bytes Virtual memory size in bytes.
# TYPE process_virtual_memory_bytes gauge
process_virtual_memory_bytes 1.24461056e+08
# HELP process_resident_memory_bytes Resident memory size in bytes.
# TYPE process_resident_memory_bytes gauge
process_resident_memory_bytes 3.4168832e+07
# HELP process_start_time_seconds Start time of the process since unix epoch in seconds.
# TYPE process_start_time_seconds gauge
process_start_time_seconds 1.68539579014e+09
# HELP process_cpu_seconds_total Total user and system CPU time spent in seconds.
# TYPE process_cpu_seconds_total counter
process_cpu_seconds_total 0.22
# HELP process_open_fds Number of open file descriptors.
# TYPE process_open_fds gauge
process_open_fds 13.0
# HELP process_max_fds Maximum number of open file descriptors.
# TYPE process_max_fds gauge
process_max_fds 1.048576e+06
# HELP flux_queue_state_counts Gauge for the counting job states in the queue.
# TYPE flux_queue_state_counts gauge
flux_queue_state_counts{state="INACTIVE"} 2.0
# HELP flux_node_cores_counts Gauge for the counting of cores in different states.
# TYPE flux_node_cores_counts gauge
flux_node_cores_counts{state="up"} 16.0
flux_node_cores_counts{state="free"} 16.0
# HELP flux_node_counts Total number of nodes in different states
# TYPE flux_node_counts gauge
flux_node_counts{state="up"} 4.0
flux_node_counts{state="free"} 4.0
```
</details>
Note that we are testing this to help with an autoscaler for Kubernetes, meaning
the metrics will be used to determine if we should make a request to scale or shrink
a cluster.
### Docker
We have a docker container, which you can customize for your use case, but it's more intended to
be a demo. You can either build it yourself, or use our build.
```bash
$ docker build -t promflux .
$ docker run -it -p 8080:8080 promflux
```
or
```bash
$ docker run -it -p 8080:8080 ghcr.io/converged-computing/prometheus-flux
```
You can then open up the browser at [http://localhost:8080/metrics/](http://localhost:8080/metrics) to see
the metrics!
## 😁️ Contributors 😁️
We use the [all-contributors](https://github.com/all-contributors/all-contributors)
tool to generate a contributors graphic below.
<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
<!-- prettier-ignore-start -->
<!-- markdownlint-disable -->
<table>
<tbody>
<tr>
<td align="center" valign="top" width="14.28%"><a href="https://vsoch.github.io"><img src="https://avatars.githubusercontent.com/u/814322?v=4?s=100" width="100px;" alt="Vanessasaurus"/><br /><sub><b>Vanessasaurus</b></sub></a><br /><a href="https://github.com/converged-computing/prometheus-flux/commits?author=vsoch" title="Code">💻</a></td>
</tr>
</tbody>
</table>
<!-- markdownlint-restore -->
<!-- prettier-ignore-end -->
<!-- ALL-CONTRIBUTORS-LIST:END -->
## License
HPCIC DevTools is distributed under the terms of the MIT license.
All new contributions must be made under this license.
See [LICENSE](https://github.com/converged-computing/prometheus-flux/blob/main/LICENSE),
[COPYRIGHT](https://github.com/converged-computing/prometheus-flux/blob/main/COPYRIGHT), and
[NOTICE](https://github.com/converged-computing/prometheus-flux/blob/main/NOTICE) for details.
SPDX-License-Identifier: (MIT)
LLNL-CODE- 842614
Raw data
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"description": "# Prometheus Flux\n\n<!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->\n[![All Contributors](https://img.shields.io/badge/all_contributors-1-orange.svg?style=flat-square)](#contributors-)\n<!-- ALL-CONTRIBUTORS-BADGE:END -->\n[![PyPI](https://img.shields.io/pypi/v/prometheus-flux)](https://pypi.org/project/prometheus-flux/)\n\nExport Prometheus metrics about Flux.\n\n\ud83d\udea7\ufe0f **under development** \ud83d\udea7\ufe0f\n\nThis tool is under development and is not ready for production use. It's fairly simple, so documentation\nis provided in this README.md. To see the package on pypi:\n\n - \ud83d\udce6\ufe0f [Pypi Package](https://pypi.org/project/prometheus-flux/) \ud83d\udce6\ufe0f\n\n## Usage\n\n### Install\n\nYou can install from pypi or from source:\n\n```bash\n$ python -m venv env\n$ source env/bin/activate\n$ pip install prometheus-flux\n\n# or\n\n$ git clone https://github.com/converged-computing/prometheus-flux\n$ cd prometheus-flux\n$ pip install\n# you can also do \"pip install -e .\"\n```\n\nThis will install the executable to your path, which might be your local user bin:\n\n```bash\n$ which prometheus-flux\n/home/vscode/.local/bin/prometheus-flux\n```\n\nNote that the provided [.devcontainer](.devcontainer) includes an environment for VSCode where you have Flux\nand can install this and use ready to go!\n\n### Start\n\nYou'll want to be running in a Flux instance, as we need to connect to the broker handle.\n\n```bash\n$ flux start --test-size=4\n```\n\nAnd then start the server. This will use a default port and host (0.0.0.0:8080) that you can customize\nif desired.\n\n```bash\n$ prometheus-flux start\n\n# customize the port or host\n$ prometheus-flux start --port 9000 --host 127.0.0.1\n```\n\nAs an example, when Flux is running with no jobs (and default options are used) we can open\nthe browser to [http://localhost:8080/metrics/](http://localhost:8080/metrics) to see:\n\n```console\n# HELP flux_queue_state_counts Gauge for the counting job states in the queue.\n# TYPE flux_queue_state_counts gauge\nflux_queue_state_counts{state=\"INACTIVE\"} 2.0\n# HELP flux_node_cores_counts Gauge for the counting of cores in different states.\n# TYPE flux_node_cores_counts gauge\nflux_node_cores_counts{state=\"up\"} 16.0\nflux_node_cores_counts{state=\"free\"} 16.0\n# HELP flux_node_counts Total number of nodes in different states\n# TYPE flux_node_counts gauge\nflux_node_counts{state=\"up\"} 4.0\nflux_node_counts{state=\"free\"} 4.0\n```\n\nIf you run in `--verbose` mode you'll also see metrics for the server itself:\n\n```bash\n$ prometheus-flux start --verbose\n```\n\n<details>\n\n<summary>Example Prometheus Data Output</summary>\n\n```\n# HELP python_gc_objects_collected_total Objects collected during gc\n# TYPE python_gc_objects_collected_total counter\npython_gc_objects_collected_total{generation=\"0\"} 452.0\npython_gc_objects_collected_total{generation=\"1\"} 43.0\npython_gc_objects_collected_total{generation=\"2\"} 0.0\n# HELP python_gc_objects_uncollectable_total Uncollectable objects found during GC\n# TYPE python_gc_objects_uncollectable_total counter\npython_gc_objects_uncollectable_total{generation=\"0\"} 0.0\npython_gc_objects_uncollectable_total{generation=\"1\"} 0.0\npython_gc_objects_uncollectable_total{generation=\"2\"} 0.0\n# HELP python_gc_collections_total Number of times this generation was collected\n# TYPE python_gc_collections_total counter\npython_gc_collections_total{generation=\"0\"} 85.0\npython_gc_collections_total{generation=\"1\"} 7.0\npython_gc_collections_total{generation=\"2\"} 0.0\n# HELP python_info Python platform information\n# TYPE python_info gauge\npython_info{implementation=\"CPython\",major=\"3\",minor=\"8\",patchlevel=\"10\",version=\"3.8.10\"} 1.0\n# HELP process_virtual_memory_bytes Virtual memory size in bytes.\n# TYPE process_virtual_memory_bytes gauge\nprocess_virtual_memory_bytes 1.24461056e+08\n# HELP process_resident_memory_bytes Resident memory size in bytes.\n# TYPE process_resident_memory_bytes gauge\nprocess_resident_memory_bytes 3.4168832e+07\n# HELP process_start_time_seconds Start time of the process since unix epoch in seconds.\n# TYPE process_start_time_seconds gauge\nprocess_start_time_seconds 1.68539579014e+09\n# HELP process_cpu_seconds_total Total user and system CPU time spent in seconds.\n# TYPE process_cpu_seconds_total counter\nprocess_cpu_seconds_total 0.22\n# HELP process_open_fds Number of open file descriptors.\n# TYPE process_open_fds gauge\nprocess_open_fds 13.0\n# HELP process_max_fds Maximum number of open file descriptors.\n# TYPE process_max_fds gauge\nprocess_max_fds 1.048576e+06\n# HELP flux_queue_state_counts Gauge for the counting job states in the queue.\n# TYPE flux_queue_state_counts gauge\nflux_queue_state_counts{state=\"INACTIVE\"} 2.0\n# HELP flux_node_cores_counts Gauge for the counting of cores in different states.\n# TYPE flux_node_cores_counts gauge\nflux_node_cores_counts{state=\"up\"} 16.0\nflux_node_cores_counts{state=\"free\"} 16.0\n# HELP flux_node_counts Total number of nodes in different states\n# TYPE flux_node_counts gauge\nflux_node_counts{state=\"up\"} 4.0\nflux_node_counts{state=\"free\"} 4.0\n```\n\n</details>\n\nNote that we are testing this to help with an autoscaler for Kubernetes, meaning\nthe metrics will be used to determine if we should make a request to scale or shrink\na cluster.\n\n### Docker\n\nWe have a docker container, which you can customize for your use case, but it's more intended to\nbe a demo. You can either build it yourself, or use our build.\n\n```bash\n$ docker build -t promflux .\n$ docker run -it -p 8080:8080 promflux\n```\nor\n\n```bash\n$ docker run -it -p 8080:8080 ghcr.io/converged-computing/prometheus-flux\n```\n\nYou can then open up the browser at [http://localhost:8080/metrics/](http://localhost:8080/metrics) to see\nthe metrics!\n\n## \ud83d\ude01\ufe0f Contributors \ud83d\ude01\ufe0f\n\nWe use the [all-contributors](https://github.com/all-contributors/all-contributors)\ntool to generate a contributors graphic below.\n\n<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->\n<!-- prettier-ignore-start -->\n<!-- markdownlint-disable -->\n<table>\n <tbody>\n <tr>\n <td align=\"center\" valign=\"top\" width=\"14.28%\"><a href=\"https://vsoch.github.io\"><img src=\"https://avatars.githubusercontent.com/u/814322?v=4?s=100\" width=\"100px;\" alt=\"Vanessasaurus\"/><br /><sub><b>Vanessasaurus</b></sub></a><br /><a href=\"https://github.com/converged-computing/prometheus-flux/commits?author=vsoch\" title=\"Code\">\ud83d\udcbb</a></td>\n </tr>\n </tbody>\n</table>\n\n<!-- markdownlint-restore -->\n<!-- prettier-ignore-end -->\n\n<!-- ALL-CONTRIBUTORS-LIST:END -->\n\n## License\n\nHPCIC DevTools is distributed under the terms of the MIT license.\nAll new contributions must be made under this license.\n\nSee [LICENSE](https://github.com/converged-computing/prometheus-flux/blob/main/LICENSE),\n[COPYRIGHT](https://github.com/converged-computing/prometheus-flux/blob/main/COPYRIGHT), and\n[NOTICE](https://github.com/converged-computing/prometheus-flux/blob/main/NOTICE) for details.\n\nSPDX-License-Identifier: (MIT)\n\nLLNL-CODE- 842614\n\n\n",
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