A repo with study material, exercises, examples, etc for Devnet SPAUTO

Overview

MPLS in the SDN Era --> DevNet SPAUTO

Get right to the study material: Checkout the Wiki!

A lab topology based on MPLS in the SDN era book used for 300-535 SPAUTO studies.

Cisco Certified DevNet Specialist - Service Provider Automation and Programmability

Why MPLS in the SDN Era?

Simple. This is an incredible book for any and all Network Engineers interested in learning technologies used in Service Provider environments. The book is heavily focused on MPLS, SDN, Segment-Routing, BGP, L2VPN/L3VPNs, over-all traffic engineering and much more. These are common terms within SP networks and the book does an incredible job in guiding the audience while exploring the device configurations in this topology.

MPLS IN THE SDN ERA This book goes through a number of device configurations in a multi-vendor lab topology (Cisco IOSXR && Juniper)

For this lab, all devices have been replaced with Cisco-IOSXR/XE as we are working on a Cisco Certification.

Authors of the book:

  • Antonio Sanchez Monge (Author)
  • Krzysztof Grzegorz Szarkowicz (Author)

To fully automate Service Provider Networks, you must understand Service Provider Networks.

Get the book

What does this repository include & cover?

My goal is to gather all of my self-training in this repostiroy and cover all the major Cisco Certified DevNet Specialist (300-535 SPAUTO) topics. Starting with NSO because I have zero exposure to it professionally.

Extras:

There will be some extra material in this repository that can be an aid for other areas including but not limited to:

- Batfish
- Nornir

How can I use this repo to study?

I recommend for you to have access to a virtual lab environment that can run this topology. There are a total of 17 devices running in the lab scenario. 8 of them are IOSXR devices, which can consume up to 3GB each.

At this time, the lab configurations are not fully built. Once that is complete, I will be including a lab topology file with all the necessary information, etc. to import into a EVE-NG.

Checkout the Wiki!

30% of the SPAUTO exam is around Automation and Orchestration platforms, such as NSO. I can't stress enough the importance of taking the time to setup an NSO instance to explore and take advantage of the many examples in this repository.

Why rely on this complicated lab topology?

I learn better when I am doing, not just reading and specially when breaking things. Having this complicated topology, building all the services in an automated way will be key to our success in passing the certification. There will be tons of material in the end that will cover all the topics in the exam.

TODO: "breakout sections for each major topic"

Owner
Hugo Tinoco
Hugo Tinoco
Exploring Image Deblurring via Blur Kernel Space (CVPR'21)

Exploring Image Deblurring via Encoded Blur Kernel Space About the project We introduce a method to encode the blur operators of an arbitrary dataset

VinAI Research 118 Dec 19, 2022
2021 National Underwater Robotics Vision Optics

2021-National-Underwater-Robotics-Vision-Optics 2021年全国水下机器人算法大赛-光学赛道-B榜精度第18名 (Kilian_Di的团队:A榜[email pro

Di Chang 9 Nov 04, 2022
AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in Immigration-Related Web News Comments Using Transformers and Statistical Models

AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in Immigration-Related Web News Comments Using Transformers and Statistical Models Description

Angel de Paula 0 Jun 08, 2022
Unofficial PyTorch implementation of TokenLearner by Google AI

tokenlearner-pytorch Unofficial PyTorch implementation of TokenLearner by Ryoo et al. from Google AI (abs, pdf) Installation You can install TokenLear

Rishabh Anand 46 Dec 20, 2022
Official implementation of "A Shared Representation for Photorealistic Driving Simulators" in PyTorch.

A Shared Representation for Photorealistic Driving Simulators The official code for the paper: "A Shared Representation for Photorealistic Driving Sim

VITA lab at EPFL 7 Oct 13, 2022
Pytorch implementation of the Variational Recurrent Neural Network (VRNN).

VariationalRecurrentNeuralNetwork Pytorch implementation of the Variational RNN (VRNN), from A Recurrent Latent Variable Model for Sequential Data. Th

emmanuel 251 Dec 17, 2022
Parasite: a tool allowing you to compress and decompress files, to reduce their size

🦠 Parasite 🦠 Parasite is a tool written in Python3 allowing you to "compress" any file, reducing its size. ⭐ Features ⭐ + Fast + Good optimization,

Billy 30 Nov 25, 2022
This is the paddle code for SeBoW(Self-Born wiring for neural trees), a kind of neural tree born form a large search space

SeBoW: Self-Born Wiring for neural trees(PaddlePaddle version) This is the paddle code for SeBoW(Self-Born wiring for neural trees), a kind of neural

HollyLee 13 Dec 08, 2022
TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular potentials

TorchMD-net TorchMD-Net provides state-of-the-art graph neural networks and equivariant transformer neural networks potentials for learning molecular

TorchMD 104 Jan 03, 2023
PyTorch implementation of ENet

PyTorch-ENet PyTorch (v1.1.0) implementation of ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation, ported from the lua-torc

David Silva 333 Dec 29, 2022
A small tool to joint picture including gif

README 做设计的时候遇到拼接长图的情况,但是发现没有什么好用的能拼接gif的工具。 于是自己写了个gif拼接小工具。 可以自动拼接gif、png和jpg等常见格式。 效果 从上至下 从下至上 从左至右 从右至左 使用 克隆仓库 git clone https://github.com/Dels

3 Dec 15, 2021
This repo generates the training data and the model for Morpheus-Deblend

Morpheus-Deblend This repo generates the training data and the model for Morpheus-Deblend. This is the active development repo for the project and as

Ryan Hausen 2 Apr 18, 2022
A PyTorch Implementation of ViT (Vision Transformer)

ViT - Vision Transformer This is an implementation of ViT - Vision Transformer by Google Research Team through the paper "An Image is Worth 16x16 Word

Quan Nguyen 7 May 11, 2022
code for "Self-supervised edge features for improved Graph Neural Network training",

Self-supervised edge features for improved Graph Neural Network training Data availability: Here is a link to the raw data for the organoids dataset.

Neal Ravindra 23 Dec 02, 2022
An implementation of the "Attention is all you need" paper without extra bells and whistles, or difficult syntax

Simple Transformer An implementation of the "Attention is all you need" paper without extra bells and whistles, or difficult syntax. Note: The only ex

29 Jun 16, 2022
MWPToolkit is a PyTorch-based toolkit for Math Word Problem (MWP) solving.

MWPToolkit is a PyTorch-based toolkit for Math Word Problem (MWP) solving. It is a comprehensive framework for research purpose that integrates popular MWP benchmark datasets and typical deep learnin

119 Jan 04, 2023
LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT

LightHuBERT LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT | Github | Huggingface | SUPER

WangRui 46 Dec 29, 2022
[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code :star2:. Semi-supervised video object segmentation evaluation.

MiVOS (CVPR 2021) - Mask Propagation Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang [arXiv] [Paper PDF] [Project Page] [Papers with Code] This repo impleme

Rex Cheng 106 Jan 03, 2023
Dilated Convolution for Semantic Image Segmentation

Multi-Scale Context Aggregation by Dilated Convolutions Introduction Properties of dilated convolution are discussed in our ICLR 2016 conference paper

Fisher Yu 764 Dec 26, 2022
Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision https://arxiv.org/abs/2003.00393 Abstract Active learning (AL) aims to min

Denis 29 Nov 21, 2022