Prometheus exporter for Cisco Unified Computing System (UCS) Manager

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.

Cisco UCSM Grafana dashboard

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 
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.

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

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.

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

Blender scripts for computing geodesic distance
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

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:

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

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

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

Differentiable scientific computing library

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

Comments
  • How to support polling multiple UCS Domains

    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

    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)
Owner
Marshall Wace
Marshall Wace
Code for A Volumetric Transformer for Accurate 3D Tumor Segmentation

VT-UNet This repo contains the supported pytorch code and configuration files to reproduce 3D medical image segmentaion results of VT-UNet. Environmen

Himashi Amanda Peiris 114 Dec 20, 2022
This is the workbook I created while I was studying for the Qiskit Associate Developer exam. I hope this becomes useful to others as it was for me :)

A Workbook for the Qiskit Developer Certification Exam Hello everyone! This is Bartu, a fellow Qiskitter. I have recently taken the Certification exam

Bartu Bisgin 66 Dec 10, 2022
Label Mask for Multi-label Classification

LM-MLC 一种基于完型填空的多标签分类算法 1 前言 本文主要介绍本人在全球人工智能技术创新大赛【赛道一】设计的一种基于完型填空(模板)的多标签分类算法:LM-MLC,该算法拟合能力很强能感知标签关联性,在多个数据集上测试表明该算法与主流算法无显著性差异,在该比赛数据集上的dev效果很好,但是由

52 Nov 20, 2022
Convolutional Neural Network for Text Classification in Tensorflow

This code belongs to the "Implementing a CNN for Text Classification in Tensorflow" blog post. It is slightly simplified implementation of Kim's Convo

Denny Britz 5.5k Jan 02, 2023
ELSED: Enhanced Line SEgment Drawing

ELSED: Enhanced Line SEgment Drawing This repository contains the source code of ELSED: Enhanced Line SEgment Drawing the fastest line segment detecto

Iago Suárez 125 Dec 31, 2022
(under submission) Bayesian Integration of a Generative Prior for Image Restoration

BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration Authors: Majed El Helou, and Sabine Süsstrunk {Note: p

Majed El Helou 22 Dec 17, 2022
Code repo for "Towards Interpretable Deep Networks for Monocular Depth Estimation" paper.

InterpretableMDE A PyTorch implementation for "Towards Interpretable Deep Networks for Monocular Depth Estimation" paper. arXiv link: https://arxiv.or

Zunzhi You 16 Aug 12, 2022
VACA: Designing Variational Graph Autoencoders for Interventional and Counterfactual Queries

VACA Code repository for the paper "VACA: Designing Variational Graph Autoencoders for Interventional and Counterfactual Queries (arXiv)". The impleme

Pablo Sánchez-Martín 16 Oct 10, 2022
Code for "SRHEN: Stepwise-Refining Homography Estimation Network via Parsing Geometric Correspondences in Deep Latent Space"

SRHEN This is a better and simpler implementation for "SRHEN: Stepwise-Refining Homography Estimation Network via Parsing Geometric Correspondences in

1 Oct 28, 2022
Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

GraspNet Baseline Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020). [paper] [dataset] [API] [do

GraspNet 209 Dec 29, 2022
Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.

CLIP-Guided-Diffusion Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab. Original colab notebooks by Ka

Nerdy Rodent 336 Dec 09, 2022
Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)

Table of Content Introduction Datasets Getting Started Requirements Usage Example Training & Evaluation CPM: Color-Pattern Makeup Transfer CPM is a ho

VinAI Research 248 Dec 13, 2022
This repository contains all code and data for the Inside Out Visual Place Recognition task

Inside Out Visual Place Recognition This repository contains code and instructions to reproduce the results for the Inside Out Visual Place Recognitio

15 May 21, 2022
I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform some analysis,,

Virtual-Artificial-Intelligence-genesis- I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform

AKASH M 1 Nov 05, 2021
General-purpose program synthesiser

DeepSynth General-purpose program synthesiser. This is the repository for the code of the paper "Scaling Neural Program Synthesis with Distribution-ba

Nathanaël Fijalkow 24 Oct 23, 2022
Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

Piggyback: https://arxiv.org/abs/1801.06519 Pretrained masks and backbones are available here: https://uofi.box.com/s/c5kixsvtrghu9yj51yb1oe853ltdfz4q

Arun Mallya 165 Nov 22, 2022
PyTorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision.

PyTorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision @misc{CV2018, author = {Donny You ( Donny You 40 Sep 14, 2022

Deep learning models for classification of 15 common weeds in the southern U.S. cotton production systems.

CottonWeeds Deep learning models for classification of 15 common weeds in the southern U.S. cotton production systems. requirements pytorch torchsumma

Dong Chen 8 Jun 07, 2022
Deep Reinforcement Learning based Trading Agent for Bitcoin

Deep Trading Agent Deep Reinforcement Learning based Trading Agent for Bitcoin using DeepSense Network for Q function approximation. For complete deta

Kartikay Garg 669 Dec 29, 2022
Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation

SUCP Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation () Direct Friends (i.e., users who follow each o

Kosar 8 Nov 26, 2022