Exporter for Storage Area Network (SAN)

Related tags

Deep Learningsan_exporter
Overview

SAN Exporter

license CI Docker Pulls Code size

Prometheus exporter for Storage Area Network (SAN).

We all know that each SAN Storage vendor has their own glossary of terms, health/performance metrics and monitoring tool.

But from operator view,

  • We normally focus on some main metrics which are similar on different storage platform.
  • We are not only monitoring SAN storage but also other devices and services at multi-layer (application, virtual Machine, hypervisor, operating system and physical).

That's why we build this to have an unified monitoring/alerting solution with Prometheus and Alermanager.

Architecture overview

SAN exporter architecture

Features

There are some main features you might want to know, for others, please see example configuration.

  • Enable/disable optinal metrics for each backend
  • Enable/disable backend
  • Backend will automatically stop collecting data from SAN system after timeout seconds from last request of client. With this feature, we can deploy two instances as Active/Passive mode for high availability.

Note: Backend may not respond metrics in the first interval while collecting, calculating and caching metrics.

Quick start

  • Start a dummy driver with Docker
$ git clone [email protected]:vCloud-DFTBA/san_exporter.git
$ cd san_exporter/
$ cp examples/dummy_config.yml config.yml
# docker run --rm -p 8888:8888 -v $(pwd)/config.yml:/san-exporter/config.yml --name san-exporter daikk115/san-exporter:0.1.0

See the result at http://localhost:8888/dummy_backend

  • Start a dummy driver manually
$ git clone [email protected]:vCloud-DFTBA/san_exporter.git
$ cd san_exporter/
$ cp examples/dummy_config.yml config.yml
$ sudo apt-get install libxml2-dev libxslt1-dev python3.7-dev
$ pip3 install -r requirements.txt
$ python3.7 manage.py

See the result at http://localhost:8888/dummy_backend

Deployment

Create configuration file

# mkdir /root/san-exporter
# cp /path/to/san_exporter/examples/config.yml.sample /root/san-exporter/config.yml

Update /root/san-exporter/config.yml for corresponding to SAN storage

Run new container

# docker volume create san-exporter
# docker run -d -p 8888:8888 -v san-exporter:/var/log/ -v /root/san-exporter/config.yml:/san-exporter/config.yml --name san-exporter daikk115/san-exporter:latest

Supported Drivers

  • Matrix of driver's generic metrics
Capacity all Capacity pool IOPS/Throuhgput pool Latency pool IOPS/Throughput node Latency node CPU node RAM node IOPS/Throughput LUN Latency LUN IOPS/Throughput disk Latency disk IOPS/Throughput port Latency port Alert
HPMSA X X X X X X X X
DellUnity X X X X X X X X X X
HitachiG700 X X X
HPE3Par X X X X X X X X
NetApp X X X X X X
SC8000 X X X X X X X X X X X
V7k X X X X X X
  • Connection port requirements
    • For some SAN system, we collect metrics over SP API but some others, we collect metrics dirrectly from controller API.
    • In some special cases, we collect alerts over SSH.
SAN System Service Processor Connection Port
HPMSA NO 443
Dell Unity NO 443
Hitachi G700 YES 23451
IBM V7000 NO #TODO
IBM V5000 NO #TODO
HPE 3PAR YES #TODO
NetApp ONTAP NO 443
SC8000 NO 3033

Metrics

All metrics are prefixed with "san_" and has at least 2 labels: backend_name and san_ip

Info metrics:

Metrics name Type Help
san_storage_info gauge Basic information: serial, version, ...

Controller metrics:

Metrics name Type Help
san_totalNodes gauge Total nodes
san_masterNodes gauge Master nodes
san_onlineNodes gauge Online nodes
san_compress_support gauge Compress support, 1 = Yes, 0 = No
san_thin_provision_support gauge Thin provision support, 1 = Yes, 0 = No
san_system_reporter_support gauge System reporter support, 1 = Yes, 0 = No
san_qos_support gauge QoS support, 1 = Yes, 0 = No
san_totalCapacityMiB gauge Total system capacity in MiB
san_allocatedCapacityMiB gauge Total allocated capacity in MiB
san_freeCapacityMiB gauge Total free capacity in MiB
san_cpu_system_utilization gauge The average percentage of time that the processors on nodes are busy doing system I/O tasks
san_cpu_compression_utilization gauge The approximate percentage of time that the processor core was busy with data compression tasks
san_cpu_total gauge The cpus spent in each mode

Pool metrics:

Metrics name Type Help
san_pool_totalLUNs gauge Total LUNs (or Volumes)
san_pool_total_capacity_mib gauge Total capacity of pool in MiB
san_pool_free_capacity_mib gauge Free of pool in MiB
san_pool_provisioned_capacity_mib gauge Provisioned of pool in MiB
san_pool_number_read_io gauge Read I/O Rate - ops/s
san_pool_number_write_io gauge Write I/O Rate - ops/s
san_pool_read_cache_hit gauge Read Cache Hits - %
san_pool_write_cache_hit gauge Write Cache Hits - %
san_pool_read_kb gauge gauge Read Data Rate - KiB/s
san_pool_write_kb gauge Write Data Rate - KiB/s
san_pool_read_service_time_ms gauge Read Response Time - ms/op
san_pool_write_service_time_ms gauge Write Response Time - ms/op
san_pool_read_IOSize_kb gauge Read Transfer Size - KiB/op
san_pool_write_IOSize_kb gauge Write Transfer Size - KiB/op
san_pool_queue_length gauge Queue length of pool

Port metrics:

Metrics name Type Help
san_port_number_read_io gauge Port Read I/O Rate - ops/s
san_port_number_write_io gauge Port Write I/O Rate - ops/s
san_port_write_kb gauge Port Write Data Rate - KiB/s
san_port_read_kb gauge Port Read Data Rate - KiB/s
san_port_write_IOSize_kb gauge Port Write Transfer Size - KiB/op
san_port_read_IOSize_kb gauge Port Read Transfer Size - KiB/op
san_port_queue_length gauge Queue length of port

For more information about specific metrics of SANs, see Specific SAN Metrics

Integrate with Prometheus, Alertmanager and Grafana

Some grafana images:

SAN exporter dashboard overview

SAN exporter dashboard pool

SAN exporter dashboard port

You might also like...
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Pattern Pattern is a web mining module for Python. It has tools for: Data Mining: web services (Google, Twitter, Wikipedia), web crawler, HTML DOM par

Computational Linguistics Research Group 8.4k Jan 3, 2023
Neurolab is a simple and powerful Neural Network Library for Python

Neurolab Neurolab is a simple and powerful Neural Network Library for Python. Contains based neural networks, train algorithms and flexible framework

null 152 Dec 6, 2022
A scikit-learn compatible neural network library that wraps PyTorch

A scikit-learn compatible neural network library that wraps PyTorch. Resources Documentation Source Code Examples To see more elaborate examples, look

null 4.9k Dec 31, 2022
Visualizer for neural network, deep learning, and machine learning models
Visualizer for neural network, deep learning, and machine learning models

Netron is a viewer for neural network, deep learning and machine learning models. Netron supports ONNX (.onnx, .pb, .pbtxt), Keras (.h5, .keras), Tens

Lutz Roeder 21k Jan 6, 2023
Graph neural network message passing reframed as a Transformer with local attention

Adjacent Attention Network An implementation of a simple transformer that is equivalent to graph neural network where the message passing is done with

Phil Wang 49 Dec 28, 2022
data/code repository of "C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer"

C2F-FWN data/code repository of "C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer" (https://arxiv.org/abs/

EKILI 46 Dec 14, 2022
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)

Deep Daze mist over green hills shattered plates on the grass cosmic love and attention a time traveler in the crowd life during the plague meditative

Phil Wang 4.4k Jan 3, 2023
End-to-End Object Detection with Fully Convolutional Network
End-to-End Object Detection with Fully Convolutional Network

This project provides an implementation for "End-to-End Object Detection with Fully Convolutional Network" on PyTorch.

null 472 Dec 22, 2022
TensorFlow-based neural network library
TensorFlow-based neural network library

Sonnet Documentation | Examples Sonnet is a library built on top of TensorFlow 2 designed to provide simple, composable abstractions for machine learn

DeepMind 9.5k Jan 7, 2023
Comments
  • Support purestorage please!

    Support purestorage please!

    Is your feature request related to a problem? Please describe. A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]

    Describe the solution you'd like A clear and concise description of what you want to happen.

    Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

    Additional context Add any other context or screenshots about the feature request here. Can you support purestorage?

    opened by wanbeepeto 0
Releases(v0.8.0)

  • v0.8.0(Aug 17, 2021)

    • Release notes:
      • Add Dell Unnity driver
      • Add Hitachi G700 driver
      • Add HPE 3PAR driver
      • Add HPMSA driver
      • Add NetApp ONTAP driver
      • Add Dell SC800 driver
      • Add IBM V7000 driver
    • Docker image: daikk115/san-exporter:0.8.0
    Source code(tar.gz)
    Source code(zip)

  • v0.1.0(Aug 15, 2021)

Owner
vCloud
Not Only vCloud - Don’t Forget To Be Awesome
vCloud
GitHub Repository
ESP32 python application to read data from a Tilt™ Hydrometer for homebrewing

TitlESP32 ESP32 MicroPython application to read and log data from a Tilt™ Hydrometer. Requirements A board with an ESP32 chip USB cable - USB A / micr

IoBeer 5 Dec 01, 2022
A Planar RGB-D SLAM which utilizes Manhattan World structure to provide optimal camera pose trajectory while also providing a sparse reconstruction containing points, lines and planes, and a dense surfel-based reconstruction.

ManhattanSLAM Authors: Raza Yunus, Yanyan Li and Federico Tombari ManhattanSLAM is a real-time SLAM library for RGB-D cameras that computes the camera

117 Dec 28, 2022
[IEEE TPAMI21] MobileSal: Extremely Efficient RGB-D Salient Object Detection [PyTorch & Jittor]

MobileSal IEEE TPAMI 2021: MobileSal: Extremely Efficient RGB-D Salient Object Detection This repository contains full training & testing code, and pr

Yu-Huan Wu 52 Jan 06, 2023
Open source person re-identification library in python

Open-ReID Open-ReID is a lightweight library of person re-identification for research purpose. It aims to provide a uniform interface for different da

Tong Xiao 1.3k Jan 01, 2023
Rotation Robust Descriptors

RoRD Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching Project Page | Paper link Evaluation and Datasets MMA : Training on

Udit Singh Parihar 25 Nov 15, 2022
POT : Python Optimal Transport

POT: Python Optimal Transport This open source Python library provide several solvers for optimization problems related to Optimal Transport for signa

Python Optimal Transport 1.7k Dec 31, 2022
CNN Based Meta-Learning for Noisy Image Classification and Template Matching

CNN Based Meta-Learning for Noisy Image Classification and Template Matching Introduction This master thesis used a few-shot meta learning approach to

Kumar Manas 2 Dec 09, 2021
[SIGGRAPH Asia 2021] Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN

Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN [Paper] [Project Website] [Output resutls] Official Pytorch i

Badour AlBahar 215 Dec 17, 2022
Tackling data scarcity in Speech Translation using zero-shot multilingual Machine Translation techniques

Tackling data scarcity in Speech Translation using zero-shot multilingual Machine Translation techniques This repository is derived from the NMTGMinor

Tu Anh Dinh 1 Sep 07, 2022
This is a demo app to be used in the video streaming applications

MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks MoViDNN is an Android application that can be used to ev

ATHENA Christian Doppler (CD) Laboratory 7 Jul 21, 2022
BBB streaming without Xorg and Pulseaudio and Chromium and other nonsense (heavily WIP)

BBB Streamer NG? Makes a conference like this... ...streamable like this! I also recorded a small video showing the basic features: https://www.youtub

Lukas Schauer 60 Oct 21, 2022
DexterRedTool - Dexter's Red Team Tool that creates cronjob/task scheduler to consistently creates users

DexterRedTool Author: Dexter Delandro CSEC 473 - Spring 2022 This tool persisten

2 Feb 16, 2022
Localizing Visual Sounds the Hard Way

Localizing-Visual-Sounds-the-Hard-Way Code and Dataset for "Localizing Visual Sounds the Hard Way". The repo contains code and our pre-trained model.

Honglie Chen 58 Dec 07, 2022
A scikit-learn-compatible module for estimating prediction intervals.

|Anaconda|_ MAPIE - Model Agnostic Prediction Interval Estimator MAPIE allows you to easily estimate prediction intervals using your favourite sklearn

SimAI 584 Dec 27, 2022
TreeSubstitutionCipher - Encryption system based on trees and substitution

Tree Substitution Cipher Generation Algorithm: Generate random tree. Tree nodes

stepa 1 Jan 08, 2022
Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.

feature-set-comp Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships. Reposito

Trent Henderson 7 May 25, 2022
Ganilla - Official Pytorch implementation of GANILLA

GANILLA We provide PyTorch implementation for: GANILLA: Generative Adversarial Networks for Image to Illustration Translation. Paper Arxiv Updates (Fe

Samet Hi 462 Dec 05, 2022
[IJCAI-2021] A benchmark of data-free knowledge distillation from paper "Contrastive Model Inversion for Data-Free Knowledge Distillation"

DataFree A benchmark of data-free knowledge distillation from paper "Contrastive Model Inversion for Data-Free Knowledge Distillation" Authors: Gongfa

ZJU-VIPA 47 Jan 09, 2023
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?

Adversrial Machine Learning Benchmarks This code belongs to the papers: Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? Det

Adversarial Machine Learning 9 Nov 27, 2022
Code to generate datasets used in "How Useful is Self-Supervised Pretraining for Visual Tasks?"

Synthetic dataset rendering Framework for producing the synthetic datasets used in: How Useful is Self-Supervised Pretraining for Visual Tasks? Alejan

Princeton Vision & Learning Lab 21 Apr 29, 2022