Configure SRX interfaces with Scrapli

Last update: Jan 07, 2022

Overview

Configure SRX interfaces with Scrapli

Overview

This example will show how to configure interfaces on Juniper's SRX firewalls.

In addition to the Python script, this project also ships with additional tools to help you along your way. You will find a Dockerfile for running the project in an isolated environment, and an Invoke tasks.py file for those of us that hate typing out everything all the time.

⚙️ `How it works`

The configuration is pushed to the device using the NETCONF API on board.

Let's take a second to review the documentation in the files/docs/ directory.

Name	Description
app_async.py	Configure interface `ge-0/0/1` on our firewalls with `asyncio`

📝 `Dependencies`

Refer to the Poetry Lock file located at poetry.lock for detailed descriptions on each package installed.

🚀 `Executing the script`

This project provides two unique methods of executing the playbook:

Executing with Docker | Execute with Docker

Executing with Python | Execute with Python

Owner

Calvin Remsburg

check out the Stars tab for some much needed organization

GitHub Repository

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Configure SRX interfaces with Scrapli

Related tags

Overview

Configure SRX interfaces with Scrapli

Overview

⚙️ `How it works`

📝 `Dependencies`

🚀 `Executing the script`

Owner

Calvin Remsburg

Utility code for use with PyXLL

MLPs for Vision and Langauge Modeling (Coming Soon)

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Neural machine translation between the writings of Shakespeare and modern English using TensorFlow

Source code for The Power of Many: A Physarum Swarm Steiner Tree Algorithm

Pytorch implementation of OCNet series and SegFix.

The modify PyTorch version of Siam-trackers which are speed-up by TensorRT.

CaFM-pytorch ICCV ACCEPT Introduction of dataset VSD4K

TorchPQ is a python library for Approximate Nearest Neighbor Search (ANNS) and Maximum Inner Product Search (MIPS) on GPU using Product Quantization (PQ) algorithm.

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Configure SRX interfaces with Scrapli

Related tags

Overview

Configure SRX interfaces with Scrapli

Overview

⚙️ How it works

📝 Dependencies

🚀 Executing the script

Owner

Calvin Remsburg

Utility code for use with PyXLL

MLPs for Vision and Langauge Modeling (Coming Soon)

A list of awesome PyTorch scholarship articles, guides, blogs, courses and other resources.

The world's largest toxicity dataset.

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

Generating Radiology Reports via Memory-driven Transformer

Annotate datasets with a semi-trained or fully trained YOLOv5 model

PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"

Data Augmentation with Variational Autoencoders

A fast, dataset-agnostic, deep visual search engine for digital art history

An Exact Solver for Semi-supervised Minimum Sum-of-Squares Clustering

Neural machine translation between the writings of Shakespeare and modern English using TensorFlow

Source code for The Power of Many: A Physarum Swarm Steiner Tree Algorithm

Pytorch implementation of OCNet series and SegFix.

The modify PyTorch version of Siam-trackers which are speed-up by TensorRT.

CaFM-pytorch ICCV ACCEPT Introduction of dataset VSD4K

TorchPQ is a python library for Approximate Nearest Neighbor Search (ANNS) and Maximum Inner Product Search (MIPS) on GPU using Product Quantization (PQ) algorithm.

Code for "R-GCN: The R Could Stand for Random"

Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

Official implementation for TTT++: When Does Self-supervised Test-time Training Fail or Thrive

⚙️ `How it works`

📝 `Dependencies`

🚀 `Executing the script`