xr-netconf-lab

Understand NETCONF/YANG and build your first NETCONF client with Python to interwork with IOS-XR

Use Case Description

This laboratory comes with a Jupyter lab for practising the NETCONF functionalities of Cisco IOS XR. A set of Docker containers is used for collecting and monitoring model-driven telemetry data, as traffic is being generated.

Installation

Dependencies

• Python 3
• Ncclient library
• Jupyter lab
• Docker
• Docker-compose
• Iperf
• IOS XR

Configure

1. Deploy the stack of containers for monitoring of telemetry data by following these instructions.

2. Load the Traffic Monitoring dashboard in Chronograf.

Configuration

The details for the connection and authentication to the IOS XR can be found in the workshop-configuration.ini file.

This laboratory assumes the following:

• the host of the Jupyter lab and the docker containers is 198.18.134.50 and is a Linux host
• the Jupyter notebook is exposed on port 8443
• the Chronograf web application is exposed on port 8888
• the IOS XR is reachable at 198.18.134.72 with username cisco and password cisco
• the Linux host has Iperf installed on it
• the IOS XR has Iperf installed on it
• the IOS XR has the following configuration:

  telemetry model-driven
   destination-group DGroup1
    address-family ipv4 198.18.134.50 port 57777
     encoding self-describing-gpb
     protocol grpc no-tls
    !
   !
   sensor-group SGroupGeneric1
    sensor-path Cisco-IOS-XR-ifmgr-oper:interface-properties/data-nodes/data-node/system-view
   !
   subscription Subscription1
    sensor-group-id SGroupGeneric1 strict-timer
    sensor-group-id SGroupGeneric1 sample-interval 10000
    destination-id DGroup1
   !
  !
  tpa
   vrf default
    address-family ipv4
     update-source dataports Loopback0
    !
   !
  !
  netconf-yang agent
   ssh
  !
  interface Loopback0
   ipv4 address 1.1.1.1 255.255.255.255
   shutdown
  !
  

Usage

Access the lab at https://198.18.134.50:8443.

Start with the workshop lab. To run a section of the laboratory, select the cell and press Shift+Enter.

How to test the software

This laboratory was tested in an environment that had the following software installed:

Software	version
python	3.6.8
ncclient	0.6.6
jupyter lab	1.2.3
docker	19.03.5
docker-compose	1.23.2
iperf (server)	2.0.5
iperf (client)	2.0.13
IOS XR	7.0.x

Getting help

If you have questions, concerns, bug reports, etc., please create an issue against this repository.

Getting involved

Feedback, bug fixes and feature enhancements or additions are encouraged. Please see the CONTRIBUTING file for more information.

Author(s)

This project was written and is maintained by the following individuals:

• cprecup [email protected]