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
fklearn: Functional Machine Learning

fklearn: Functional Machine Learning fklearn uses functional programming principles to make it easier to solve real problems with Machine Learning. Th

nubank 1.4k Dec 07, 2022
Anonymize BLM Protest Images

Anonymize BLM Protest Images This repository automates @BLMPrivacyBot, a Twitter bot that shows the anonymized images to help keep protesters safe. Us

Stanford Machine Learning Group 40 Oct 13, 2022
A simple AI that will give you si ple task and this is made with python

Crystal-AI A simple AI that will give you si ple task and this is made with python Prerequsites: Python3.6.2 pyttsx3 pip install pyttsx3 pyaudio pip i

CrystalAnd 1 Dec 25, 2021
Official PyTorch implementation of "ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows"

ArtFlow Official PyTorch implementation of the paper: ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows Jie An*, Siyu Huang*, Yibing

123 Dec 27, 2022
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

bottom-up-attention This code implements a bottom-up attention model, based on multi-gpu training of Faster R-CNN with ResNet-101, using object and at

Peter Anderson 1.3k Jan 09, 2023
Element selection for functional materials discovery by integrated machine learning of atomic contributions to properties

Element selection for functional materials discovery by integrated machine learning of atomic contributions to properties 8.11.2021 Andrij Vasylenko I

Leverhulme Research Centre for Functional Materials Design 4 Dec 20, 2022
HGCN: Harmonic Gated Compensation Network For Speech Enhancement

HGCN The official repo of "HGCN: Harmonic Gated Compensation Network For Speech Enhancement", which was accepted at ICASSP2022. How to use step1: Calc

ScorpioMiku 33 Nov 14, 2022
Dynamica causal Bayesian optimisation

Dynamic Causal Bayesian Optimization This is a Python implementation of Dynamic Causal Bayesian Optimization as presented at NeurIPS 2021. Abstract Th

nd308 18 Nov 22, 2022
[ICCV 2021] Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation

ADDS-DepthNet This is the official implementation of the paper Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation I

LIU_LINA 52 Nov 24, 2022
TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

AlexNet training on ImageNet LSVRC 2012 This repository contains an implementation of AlexNet convolutional neural network and its training and testin

Matteo Dunnhofer 161 Nov 25, 2022
Drone Task1 - Drone Task1 With Python

Drone_Task1 Matching Results 3.mp4 1.mp4

MLV Lab (Machine Learning and Vision Lab at Korea University) 11 Nov 14, 2022
Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"

Pytorch Implementation of Deep Orthogonal Fusion of Local and Global Features (DOLG) This is the unofficial PyTorch Implementation of "DOLG: Single-St

DK 96 Jan 06, 2023
“Data Augmentation for Cross-Domain Named Entity Recognition” (EMNLP 2021)

Data Augmentation for Cross-Domain Named Entity Recognition Authors: Shuguang Chen, Gustavo Aguilar, Leonardo Neves and Thamar Solorio This repository

<a href=[email protected]"> 18 Sep 10, 2022
Source Code for Simulations in the Publication "Can the brain use waves to solve planning problems?"

Code for Simulations in the Publication Can the brain use waves to solve planning problems? Installing Required Python Packages Please use Python vers

EMD Group 2 Jul 01, 2022
Code for this paper The Lottery Ticket Hypothesis for Pre-trained BERT Networks.

The Lottery Ticket Hypothesis for Pre-trained BERT Networks Code for this paper The Lottery Ticket Hypothesis for Pre-trained BERT Networks. [NeurIPS

VITA 122 Dec 14, 2022
Code repository for the paper "Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation" with instructions to reproduce the results.

Doubly Trained Neural Machine Translation System for Adversarial Attack and Data Augmentation Languages Experimented: Data Overview: Source Target Tra

Steven Tan 1 Aug 18, 2022
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018

UNet++: A Nested U-Net Architecture for Medical Image Segmentation UNet++ is a new general purpose image segmentation architecture for more accurate i

Zongwei Zhou 1.8k Dec 27, 2022
[CoRL 2021] A robotics benchmark for cross-embodiment imitation.

x-magical x-magical is a benchmark extension of MAGICAL specifically geared towards cross-embodiment imitation. The tasks still provide the Demo/Test

Kevin Zakka 36 Nov 26, 2022
Library for fast text representation and classification.

fastText fastText is a library for efficient learning of word representations and sentence classification. Table of contents Resources Models Suppleme

Facebook Research 24.1k Jan 01, 2023
Open source Python implementation of the HDR+ photography pipeline

hdrplus-python Open source Python implementation of the HDR+ photography pipeline, originally developped by Google and presented in a 2016 article. Th

77 Jan 05, 2023