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

Tooling for GANs in TensorFlow

TensorFlow-GAN (TF-GAN) TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs). Can be installed with pip

803 Dec 24, 2022

CS50x-AI - Artificial Intelligence with Python from Harvard University

CS50x-AI Artificial Intelligence with Python from Harvard University 📖 Table of

6 Aug 22, 2022

A collection of 100 Deep Learning images and visualizations

A collection of Deep Learning images and visualizations. The project has been developed by the AI Summer team and currently contains almost 100 images.

65 Sep 12, 2022

QuALITY: Question Answering with Long Input Texts, Yes!

QuALITY: Question Answering with Long Input Texts, Yes! Authors: Richard Yuanzhe Pang,* Alicia Parrish,* Nitish Joshi,* Nikita Nangia, Jason Phang, An

61 Jan 02, 2023

Code for "CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds" @ICRA2021

CloudAAE This is an tensorflow implementation of "CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds" Files log:

35 Nov 14, 2022

Repository for the Bias Benchmark for QA dataset.

BBQ Repository for the Bias Benchmark for QA dataset. Authors: Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Tho

18 Nov 18, 2022

Code for NeurIPS2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints"

This repository is the code for NeurIPS 2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints". Edit 2021/

10 Dec 20, 2022

Official implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR2021)

Rethinking Graph Neural Architecture Search from Message-passing Intro The GNAS can automatically learn better architecture with the optimal depth of

48 Sep 30, 2022

Deep learning image registration library for PyTorch

TorchIR: Pytorch Image Registration TorchIR is a image registration library for deep learning image registration (DLIR). I have integrated several ide

40 Dec 16, 2022

Only valid pull requests will be allowed. Use python only and readme changes will not be accepted.

❌ This repo is excluded from hacktoberfest This repo is for python beginners and contains lot of beginner python projects for practice. You can also s

50 Dec 28, 2022

The Body Part Regression (BPR) model translates the anatomy in a radiologic volume into a machine-interpretable form.

40 Dec 18, 2022

Code for NeurIPS 2021 paper: Invariant Causal Imitation Learning for Generalizable Policies

Invariant Causal Imitation Learning for Generalizable Policies Ioana Bica, Daniel Jarrett, Mihaela van der Schaar Neural Information Processing System

17 Dec 01, 2022

Framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample resolution

Sample-specific Bayesian Networks A framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample or per-patient re

1 Sep 23, 2022

The implementation of "Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer"

Shuffle Transformer The implementation of "Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer" Introduction Very recently, window-

87 Nov 29, 2022

Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification

258 Dec 29, 2022

PlenOctree Extraction algorithm

PlenOctrees_NeRF-SH This is an implementation of the Paper PlenOctrees for Real-time Rendering of Neural Radiance Fields. Not only the code provides t

49 Nov 05, 2022

DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021)

DeepLM DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021) Run Please install th

130 Dec 02, 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

Tooling for GANs in TensorFlow

CS50x-AI - Artificial Intelligence with Python from Harvard University

A collection of 100 Deep Learning images and visualizations

QuALITY: Question Answering with Long Input Texts, Yes!

Code for "CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds" @ICRA2021

Repository for the Bias Benchmark for QA dataset.

Code for NeurIPS2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints"

Official implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR2021)

Deep learning image registration library for PyTorch

Only valid pull requests will be allowed. Use python only and readme changes will not be accepted.

The Body Part Regression (BPR) model translates the anatomy in a radiologic volume into a machine-interpretable form.

Code for NeurIPS 2021 paper: Invariant Causal Imitation Learning for Generalizable Policies

Framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample resolution

The implementation of "Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer"

Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification

PlenOctree Extraction algorithm

DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021)

Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning

TensorFlow2 Classification Model Zoo playing with TensorFlow2 on the CIFAR-10 dataset.

The pytorch implementation of the paper "text-guided neural image inpainting" at MM'2020