Prometheus exporter for Cisco Unified Computing System (UCS) Manager

Last update: Nov 07, 2022

Related tags

Deep Learning prometheus-ucs-exporter

Overview

prometheus-ucs-exporter

Overview

Use metrics from the UCS API to export relevant metrics to Prometheus

This repository is a fork of Drew Stinnett's original exporter at oit-ssi-systems/prometheus-ucs-exporter.

Modifications made include:

Added production server (FastAPI)
Added additional metrics
Added Grafana dashboard
Minor fixes and refactorings

Install the Grafana dashboard by importing the JSON file grafana/dashboard.json.

Installation

Build and run with Docker:

docker build -t prometheus-ucs-exporter .

docker run -p 3001:3001 -e PORT=3001 \
-e PROM_UCS_USERNAME='ucs-mydomain\username' \
-e PROM_UCS_PASSWORD='passw0rd' \
prometheus-ucs-exporter

Fetch metrics:

curl http://localhost:3001/metrics?domain=my-domain.example.com

Note: Metrics are fetched in a background worker after an initial scrape, since UCSM can be slow to respond. Continue polling the /metrics endpoint until metrics are returned.

Usage

docker pull ghcr.io/marshallwace/prometheus-ucs-exporter:0.0.2

SPDX update

pip install --user pipx

pipx run reuse addheader --copyright "2022 Marshall Wace <[email protected]>" --license "GPL-3.0-only" *.py

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

NuPIC Numenta Platform for Intelligent Computing The Numenta Platform for Intelligent Computing (NuPIC) is a machine intelligence platform that implem

6.2k Feb 12, 2021

xitorch: differentiable scientific computing library

xitorch is a PyTorch-based library of differentiable functions and functionals that can be widely used in scientific computing applications as well as deep learning.

24 Apr 15, 2021

A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.

python_graphs This package is for computing graph representations of Python programs for machine learning applications. It includes the following modu

258 Dec 29, 2022

Blender scripts for computing geodesic distance

GeoDoodle Geodesic distance computation for Blender meshes Table of Contents Overivew Usage Implementation Overview This addon provides an operator fo

20 Jun 8, 2022

Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks

PyTorch code to reproduce LyDROO algorithm [1], which is an online computation offloading algorithm to maximize the network data processing capability subject to the long-term data queue stability and average power constraints. It applies Lyapunov optimization to decouple the multi-stage stochastic MINLP into deterministic per-frame MINLP subproblems and solves each subproblem via DROO algorithm. It includes:

87 Dec 28, 2022

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

Framework overview This library allows to quickly implement different architectures based on Reservoir Computing (the family of approaches popularized

249 Dec 21, 2022

Material related to the Principles of Cloud Computing course.

CloudComputingCourse Material related to the Principles of Cloud Computing course. This repository comprises material that I use to teach my Principle

15 Dec 2, 2022

Code for the paper "Next Generation Reservoir Computing"

Next Generation Reservoir Computing This is the code for the results and figures in our paper "Next Generation Reservoir Computing". They are written

105 Dec 20, 2022

Differentiable scientific computing library

xitorch: differentiable scientific computing library xitorch is a PyTorch-based library of differentiable functions and functionals that can be widely

98 Dec 26, 2022

Comments

How to support polling multiple UCS Domains

Is it possible to support polling of multiple UCS domains using a single prometheus instance or is it better to dedicate a prmetheus container to each UCS domain?

opened by dwebr 1

UCS System returns "not-applicable" for kernel_mem_total and kernel_mem_free stats

Issue: UCS running version 4.2(1m)B returns "not-applicable" for kernel_mem_total and kernel_mem_free stats which results in prometheus throwing errors during polling.

Work around: comment out the following statements in the swsystem.py file.

kernel_mem_total.labels(self.domain, switch).set(int(item.kernel_mem_total))
kernel_mem_free.labels(self.domain, switch).set(int(item.kernel_mem_free))

Example Output

/repos/prometheus-ucs-exporter/scripts$ ./explore.py query-classid swSystemStats

Managed Object                  :       SwSystemStats
--------------
class_id                        :SwSystemStats
child_action                    :None
correctable_parity_error        :not-applicable
correctable_parity_error_avg    :not-applicable
correctable_parity_error_max    :not-applicable
correctable_parity_error_min    :not-applicable
dn                              :sys/switch-B/sysstats
intervals                       :58982460
kernel_mem_free                 :not-applicable
kernel_mem_free_avg             :not-applicable
kernel_mem_free_max             :not-applicable
kernel_mem_free_min             :not-applicable
kernel_mem_total                :not-applicable
kernel_mem_total_avg            :not-applicable
kernel_mem_total_max            :not-applicable
kernel_mem_total_min            :not-applicable
load                            :2.360000
load_avg                        :2.413333
load_max                        :2.620000
load_min                        :2.130000
mem_available                   :52264
mem_available_avg               :52278
mem_available_max               :52302
mem_available_min               :52264
mem_cached                      :11591
mem_cached_avg                  :11576
mem_cached_max                  :11591
mem_cached_min                  :11563
rn                              :sysstats
sacl                            :None
status                          :None
suspect                         :no
thresholded                     :
time_collected                  :2022-09-24T10:13:48.368
update                          :131081



Managed Object                  :       SwSystemStats
--------------
class_id                        :SwSystemStats
child_action                    :None
correctable_parity_error        :not-applicable
correctable_parity_error_avg    :not-applicable
correctable_parity_error_max    :not-applicable
correctable_parity_error_min    :not-applicable
dn                              :sys/switch-A/sysstats
intervals                       :58982460
kernel_mem_free                 :not-applicable
kernel_mem_free_avg             :not-applicable
kernel_mem_free_max             :not-applicable
kernel_mem_free_min             :not-applicable
kernel_mem_total                :not-applicable
kernel_mem_total_avg            :not-applicable
kernel_mem_total_max            :not-applicable
kernel_mem_total_min            :not-applicable
load                            :3.820000
load_avg                        :2.701667
load_max                        :3.820000
load_min                        :2.090000
mem_available                   :52062
mem_available_avg               :52050
mem_available_max               :52062
mem_available_min               :52036
mem_cached                      :11060
mem_cached_avg                  :11068
mem_cached_max                  :11083
mem_cached_min                  :11060
rn                              :sysstats
sacl                            :None
status                          :None
suspect                         :no
thresholded                     :
time_collected                  :2022-09-24T10:14:32.366
update                          :131078

bug

opened by dwebr 0

Releases(v0.0.2)

v0.0.2(Apr 11, 2022)

Source code(tar.gz)
Source code(zip)
v0.0.1(Apr 11, 2022)

Source code(tar.gz)
Source code(zip)

Owner

Marshall Wace

GitHub Repository

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

AdderNet: Do We Really Need Multiplications in Deep Learning? This code is a demo of CVPR 2020 paper AdderNet: Do We Really Need Multiplications in De

915 Jan 01, 2023

A numpy-based implementation of RANSAC for fundamental matrix and homography estimation. The degeneracy updating and local optimization components are included and optional.

Description A numpy-based implementation of RANSAC for fundamental matrix and homography estimation. The degeneracy updating and local optimization co

9 Nov 10, 2022

Solver for Large-Scale Rank-One Semidefinite Relaxations

STRIDE: spectrahedral proximal gradient descent along vertices A Solver for Large-Scale Rank-One Semidefinite Relaxations About STRIDE is designed for

48 Dec 20, 2022

bespoke tooling for offensive security's Windows Usermode Exploit Dev course (OSED)

osed-scripts bespoke tooling for offensive security's Windows Usermode Exploit Dev course (OSED) Table of Contents Standalone Scripts egghunter.py fin

268 Jan 05, 2023

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX Foolbox is a Python li

2.4k Dec 25, 2022

Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"

Memory Compressed Attention Implementation of the Self-Attention layer of the proposed Memory-Compressed Attention, in Pytorch. This repository offers

47 Dec 23, 2022

Here we present the implementation in TensorFlow of our work about liver lesion segmentation accepted in the Machine Learning 4 Health Workshop

Detection-aided liver lesion segmentation Here we present the implementation in TensorFlow of our work about liver lesion segmentation accepted in the

96 Oct 26, 2022

Exploration-Exploitation Dilemma Solving Methods

Exploration-Exploitation Dilemma Solving Methods Medium article for this repo - HERE In ths repo I implemented two techniques for tackling mentioned t

6 Jan 25, 2022

Computer Vision is an elective course of MSAI, SCSE, NTU, Singapore

[AI6122] Computer Vision is an elective course of MSAI, SCSE, NTU, Singapore. The repository corresponds to the AI6122 of Semester 1, AY2021-2022, starting from 08/2021. The instructor of this course

5 Sep 12, 2022

Implementation for "Domain-Specific Bias Filtering for Single Labeled Domain Generalization"

DSBF Introduction This repository contains the implementation code for paper: Domain-Specific Bias Filtering for Single Labeled Domain Generalization

7 Jan 05, 2023

Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer)

Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer) Introduction By applying the

1 Jul 09, 2022

This is code of book "Learn Deep Learning with PyTorch"

深度学习入门之PyTorch Learn Deep Learning with PyTorch 非常感谢您能够购买此书，这个github repository包含有深度学习入门之PyTorch的实例代码。由于本人水平有限，在写此书的时候参考了一些网上的资料，在这里对他们表示敬意。由于深度学习的技术在

2.5k Jan 04, 2023

Code for Temporally Abstract Partial Models

Code for Temporally Abstract Partial Models Accompanies the code for the experimental section of the paper: Temporally Abstract Partial Models, Khetar

19 Jul 13, 2022

An expansion for RDKit to read all types of files in one line

RDMolReader An expansion for RDKit to read all types of files in one line How to use? Add this single .py file to your project and import MolFromFile(

1 Dec 18, 2021

An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.

33 Jan 03, 2023

[AAAI 2021] MVFNet: Multi-View Fusion Network for Efficient Video Recognition

MVFNet: Multi-View Fusion Network for Efficient Video Recognition (AAAI 2021) Overview We release the code of the MVFNet (Multi-View Fusion Network).

114 Nov 27, 2022

Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes (CVPR2021)

RSCD (BS-RSCD & JCD) Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes (CVPR2021) by Zhihang Zhong, Yinqiang Zheng, Imari Sato We co

81 Dec 15, 2022

This is an official repository of CLGo: Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints

CLGo This is an official repository of CLGo: Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints An earlier

32 Dec 20, 2022

🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

Deep CORAL A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation. B Sun, K Saenko, ECCV 2016' Deep CORAL can learn

200 Dec 25, 2022

Official repository of "DeepMIH: Deep Invertible Network for Multiple Image Hiding", TPAMI 2022.

DeepMIH: Deep Invertible Network for Multiple Image Hiding (TPAMI 2022) This repo is the official code for DeepMIH: Deep Invertible Network for Multip

67 Nov 22, 2022

Prometheus exporter for Cisco Unified Computing System (UCS) Manager

Related tags

Overview

prometheus-ucs-exporter

Overview

Installation

Usage

SPDX update

You might also like...

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

xitorch: differentiable scientific computing library

A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.

Blender scripts for computing geodesic distance

Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

Material related to the Principles of Cloud Computing course.

Code for the paper "Next Generation Reservoir Computing"

Differentiable scientific computing library

Comments

How to support polling multiple UCS Domains

UCS System returns "not-applicable" for kernel_mem_total and kernel_mem_free stats

Releases(v0.0.2)

v0.0.2(Apr 11, 2022)

v0.0.1(Apr 11, 2022)

Owner

Marshall Wace

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

A numpy-based implementation of RANSAC for fundamental matrix and homography estimation. The degeneracy updating and local optimization components are included and optional.

Solver for Large-Scale Rank-One Semidefinite Relaxations

bespoke tooling for offensive security's Windows Usermode Exploit Dev course (OSED)

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"

Here we present the implementation in TensorFlow of our work about liver lesion segmentation accepted in the Machine Learning 4 Health Workshop

Exploration-Exploitation Dilemma Solving Methods

Computer Vision is an elective course of MSAI, SCSE, NTU, Singapore

Implementation for "Domain-Specific Bias Filtering for Single Labeled Domain Generalization"

Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer)

This is code of book "Learn Deep Learning with PyTorch"

Code for Temporally Abstract Partial Models

An expansion for RDKit to read all types of files in one line

An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.

[AAAI 2021] MVFNet: Multi-View Fusion Network for Efficient Video Recognition

Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes (CVPR2021)

This is an official repository of CLGo: Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints

🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

Official repository of "DeepMIH: Deep Invertible Network for Multiple Image Hiding", TPAMI 2022.