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Programmatic Cloud Network Management with Python
In this hands-on lab, you will use Python and the AWS SDK (Boto3) to programmatically discover, audit, and report on your cloud network infrastructure. Starting with authenticating to AWS and enumerating VPCs, Subnets, and Gateways, you will build a compliance auditing script that checks Security Groups against a Gold Standard policy, and finish by generating a structured health report from live CloudWatch metrics. By the end, you'll have practical experience automating the network management tasks that underpin Intent-Based Networking and NetDevOps workflows.
Lab Info
Table of Contents
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Challenge
Discover Cloud Network Resources Using the AWS SDK
- Initialize a secure
boto3session using IAM instance roles to authenticate programmatically with AWS. - Use the EC2 client to enumerate network resources such as VPCs, Subnets, and Internet Gateways within the region.
- Implement API pagination using Boto3 paginators to ensure complete data retrieval in large cloud environments.
- Initialize a secure
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Challenge
Audit Security Group Compliance Against a Gold Standard Policy
- Write Python logic to identify insecure Security Group rules such as SSH access open to
0.0.0.0/0. - Load a Gold Standard security policy from a JSON file and compare it against the current Security Group configuration.
- Implement a dry-run mode to simulate remediation actions without modifying the live cloud environment.
- Write Python logic to identify insecure Security Group rules such as SSH access open to
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Challenge
Generate an Automated Cloud Infrastructure Health Report
- Retrieve CloudWatch network throughput metrics for running EC2 instances and identify potential traffic anomalies.
- Export Elastic Network Interface metadata to a structured CSV report for operational visibility.
- Check resource usage against AWS service quotas and flag thresholds that approach capacity limits.
Real skill practice before real-world application
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