Skip to content

DeplorableJed/BRKSDN-2935-Barcelona-2019

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

BRKSDN_2935_Barcelona_2019

Repo for Cisco Live Barcelona 2019

This repo will be used to share the sample code that will be presented at CL Orlando 2018 session - BRKNMS-2935

Software included:

  • ERNA_CL.py - full lab/POC Python code.
  • config.py - init file for variables
  • dnac_apis.py - Python module with various Cisco DNA Center functions
  • webex_teams_apis.py - Python module with various Spark functions
  • service_now_apis.py - Python module with various ServiceNow functions
  • utils.py - Python module with few handy functions
  • netconf_restconf.py - RESTCONF and NETCONF interface operational status
  • verify_ip_duplicate.py - verify CLI templates for duplicated IP addresses with in production IP addresses

This session will showcase the use of the open REST API's available in:

  • Cisco DNA Center
  • ASAv
  • Cisco UCS Director
  • Webex Teams
  • ServiceNow
  • IOS XE RESTCONF and NETCONF

The application will dynamically provision secured remote access to Enterprise resources for a third party entity. The code will configure firewalls, routers, switches, and Data Center compute resources.

CLI Templates to be deployed to the DC and Remote L3 switch are included:

  • DC_Config - configuration file for the DC CSR1000v
  • DC_Remove - configuration file to restore the initial configuration for the DC CSR1000v
  • Remote_Config - configuration file for the remote Layer 3 Access Switch
  • Remote_Remove - configuration file to restore the initial configuration for the remote Layer 3 Access Switch

This code is shared as a demo, only.

About

Cisco Live Barcelona - Session BRKSDN-2935 code

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%