Optimizing Cloud Costs

A Joint Technical Webinar with AWS

10/23 @9am PST

09/13/2024

9:00 am PST

Prosimo Labs: Integrating Gen AI with Cloud-Native Networking Constructs

Difficulty

Beginner

Solution Category

Build

Features Covered

AI-Driven Network Automation,Intelligent Routing for Overlapping IPs,Visual Transit, Nebula

Instructor

This hands-on lab module is designed for cloud infrastructure leaders, network engineers, and architects who want to explore the practical application of Generative AI (Gen AI) within their existing cloud-native networking environment. Participants will learn how to leverage Prosimo’s platform to enhance network automation, optimize connectivity, and enforce security policies across complex multi-cloud environments.

Key Learning Objectives:

  1. Discover and Map Network Resources: Use Prosimo’s platform to identify and catalog existing networks and resources across multiple cloud environments.
  2. Automate Connectivity Management: Learn how to orchestrate seamless connectivity across regions and clouds, optimizing for performance and compliance.
  3. Overcome Overlapping IP Challenges: Implement strategies to interconnect services across networks with overlapping IP ranges using Prosimo’s intelligent routing capabilities.
  4. Gen AI-Driven Security Enforcement: Apply Gen AI to automatically enforce security policies on application communications, ensuring real-time compliance and threat mitigation.
  5. Insert and Manage Security Services: Integrate security appliances and services into network and application paths, leveraging AI-driven insights for optimal placement and performance.
  6. Monitor and Troubleshoot: Use Prosimo’s observability tools to monitor policy enforcement, observe network patterns, and troubleshoot faults across regions, accounts, and providers.

Outcome: By the end of this lab, participants will be equipped with the knowledge and skills to integrate Gen AI with cloud-native networking constructs, enhancing network automation, security, and operational efficiency.