The Implementing Cisco Crosswork Network Controller (SPCNCI) v1.0 course introduces you to the Cisco® Crosswork Network Controller (CNC) and its installation. Through a series of lectures and labs you will learn to use Cisco CNC to streamline, manage, and automate service lifecycle functions spanning across service provisioning, visualization, monitoring, and optimization. You will also get an overview of Cisco CNC as an IP transport network controller platform, of its components, and of its utility in various use-cases such as boosting operational agility, improving intent-based service delivery, and reducing the cost of operations. This course will also teach you about creating custom service definitions, tactical traffic engineering policies, automated provisioning of services, and real-time traffic optimization. Additionally, you will learn about implementing closed loop automation workflows for remediation, optimization, and maintenance.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

After taking this course, you should be able to:
Explain the advantages of CNC for service lifecycle functions
Describe the architecture of the Cisco Crosswork Network Controller and its components
Describe the main operations features and capabilities of CNC
Perform the installation and initial configuration of the Cisco Crosswork Network Controller
Onboard network devices in CNC
Enable data collection in CNC using Crosswork Data Gateway
Provision traffic engineering policies to be used by network services
Explore network topology and inventory details by using the available visualizing tools
Optimize a network service instance for bandwidth utilization during the lifetime of service instances
Bind newly provisioned Layer 2 and Layer 3 VPN service instances to traffic engineering policies
Develop custom Layer 2 and Layer 3 Multiprotocol Label Switching (MPLS) VPN service definitions
Configure Key Performance Indicators (KPIs) to monitor the health of devices
Develop plays and playbooks for closed loop automation
Automate network operations and maintenance tasks
Explore closed loop workflows
Use northbound application programing interfaces to integrate other systems with CNC
Send alerts to northbound systems
Configure the collection and exporting of data to external endpoints
Manage the Crosswork cluster
Deploy CNC for optimal availability, scalability, and performance
Troubleshoot CNC issues

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  • COURSE OUTLINE

  • Introducing Cisco CNC

    Exploring Cisco CNC Architecture

    Describing Cisco CNC Unified Functions

    Installing and Configuring Cisco CNC

    Onboarding Network Devices

    Setting Up Data Collection

    Provisioning Traffic Engineering Policies

    Visualizing and Exploring Network Topology and Inventory Details

    Optimizing Networks Using Closed-Loop Automation

    Orchestrating VPN Services

    Developing Custom L2VPN and L3VPN Service Definitions

    Configuring KPIs to Monitor Device Health

    Automating Maintenance and Closed Loop Remediation

    Automating Network Maintenance Tasks

    Exploring Closed Loop Workflows

    Exploring Northbound APIs for External System Integration

    Managing System Alerts

    Collecting and Exporting Data to External Endpoints

    Operating a Cisco Crosswork Cluster

    Implementing CNC for High Availability, Scalability, and Performance

    Troubleshooting Cisco CNC


Audience

Network administrators Network operators Network architects System installers System integrators System administrators

Language

English

Prerequisites

To fully benefit from this course, you should have the following knowledge and skills: Basic management of network components (routers, switches, etc.) Knowledge of segment routing and MPLS Working knowledge of traffic engineering Basic knowledge of the Cisco Command-Line Interface (CLI) Basic knowledge of programming (Python or any scripting language) Basic knowledge of the NETCONF communication protocol and Yet Another Next Generation (YANG) data modeling Basic knowledge of XML, YAML, or JavaScript Object Notation (JSON) data structures and schemas

$4,600

Length: 4.0 days (32 hours)

Level:

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