Résumé du cours
This three-day course explores both the available resource-based Mist AI data and real-time event-based Mist AI data. The class looks at how the data can be accessed and searched through the Mist UI via Marvis. The class also explores automation and integration using the Mist APIs. Through demonstrations and hands-on labs, students will gain experience with features of Mist AIOps.
Moyens d'évaluation :
- Quiz pré-formation de vérification des connaissances (si applicable)
- Évaluations formatives pendant la formation, à travers les travaux pratiques réalisés sur les labs à l’issue de chaque module, QCM, mises en situation…
- Complétion par chaque participant d’un questionnaire et/ou questionnaire de positionnement en amont et à l’issue de la formation pour validation de l’acquisition des compétences
A qui s'adresse cette formation
Individuals responsible for accessing and using Mist AI data for business intelligent operation
Pré-requis
- Basic networking (wired and wireless) knowledge
- Understanding of the Open Systems
- Interconnection (OSI) reference model and the TCP/IP protocol suite
- Basic scripting knowledge; Python knowledge recommended
- Completion of the Juniper Mist AI Networks (MIST) course, or equivalent experience
Objectifs
After successfully completing this course, you should be able to:
- Describe the data available in the Mist Cloud
- Describe Marvis components and operations
- Leverage Marvis to access Mist AI data
- Explain the built-in integration options
- Describe Mist RESTful API features and limitations
- Describe Mist WebSockets API features and limitations
- Describe Mist Webhook API features and limitations
- Perform Mist AI Operations using Postman
- Perform Mist AI Operations using Node-RED
- Explore Mist API using Python
- Perform advanced Mist AI automation using Python
- Describe 802.1X Authentication and operations
- Perform RADIUS server integration and role-based policy configuration
Contenu
DAY 1
1 Course Introduction
2 What Is AIOps?
- Define AI and ML terminology
- Define AIOps
- Explain the goals of AIOps
- Discuss the importance of data
- Explain Mist Cloud components
3 Mist AI Data
- Describe Access Point (AP) Data
- Describe LLDP Data
- Describe Switch Data
- Describe Config Data—JSON
- Describe Event Data
- Describe Insight Data
- Describe Client Stats
- Describe AP Stats
4 RESTful API
- Define RESTful API
- Describe how to build RESTful API requests
- Describe features available using the RESTful API
5 Postman
- Define Postman
- Explain how Postman interacts with the Mist API
- Describe how to use Postman to automate tasks
- Set up your own Postman’s environment
- Use the Juniper Mist Collection within your own
- Postman’s environment
Lab 1: Automating Mist AI Operations using Postman
Lab 2: Mist Runner Collection
DAY 2
6 Marvis
- Describe Marvis natural language queries
- Describe Marvis query language queries
- Describe the Marvis Conversational Interface
- Explain Marvis Actions
7 Marvis Data
- Describe Marvis Client and Roaming data
- Describe how to access and query Mist data
- Explain how Marvis uses Mist data
8 Mist WebSocket API
- Define Webhook API
- Describe how to use the Mist Webhook API
- Describe the set of features available via the
- Webhook API used by Mist
- Describe the limitations of the Mist Webhook API
9 Webhook API
- Define Webhook API
- Describe how to use the Mist Webhook API
- Describe the set of features available via the Webhook API used by Mist
- Describe the limitations of the Mist Webhook API
10 Node-RED
- Define Node-RED
- Describe how to use Node-RED to interact withthe Mist API
- Describe how to use Node-RED and the MistAPI to solve use cases
- Use Node-RED in the lab to interact with theMist API
11 Python and Mist API
- Define Python
- Explain why we use Python to perform networkautomation
- Describe how to interact with the Mist API usingPython
- Build Python scripts to interact with the Mist APIs
Lab 3: Mist Operations Using Python
DAY 3
12 Built-In Integration
- Explain how to leverage Python to perform automation
- Describe what type of automation is possible with Python
- Review automation use cases and examples
- Build Python scripts to interact with the Mist APIs
Lab 4: Python Automation
13 Python Automation
- Explain Ekahau and iBwave Import
- Explain CloudShark integration
- Describe how to integrate external captive portals
Demo: Building In Integration
14 802.1X Authentication
- List the components of AAA
- Explain 802.1X operations
- Describe EAP operations
- Explain the different EAP types and how they differ
- Describe the RADIUS protocol and server
- Describe RADIUS attributes and how they are used
15 RADIUS Integration
- Explain how to integrate a third-party RADIUS server into Mist
- Explore the steps required to integrate ClearPass with Mist
- Describe how to map RADIUS attributes to Mist labels
- Explain how to use RADIUS attribute labels in WxLAN policies
- Explain how SMAL can be used to integrate thirdparty identity providers for administrator logins
Anglais
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