Free Download Modern Cloud Security & DevSecOpsMP4 |
Video: h264, 1920x1080 |
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Language: English |
Size: 2.52 GB |
Duration: 3h 51m
AWS WAF, CloudFront, Lambda@Edge, and Terraform for Multi-Layered AI Bot Defense and Traffic Control
What you'll learnAnalyze the AI bot threat landscape and set up a local Flask application with Terraform tooling.
Deploy production AWS infrastructure with Terraform: VPC, ALB, CloudFront, WAF, and EC2 auto scaling groups.
Implement intelligent traffic routing, cache separation, and degraded content with CloudFront and Lambda@Edge.
Configure advanced WAF protections, analyze logs with Athena, and enforce a data-driven strategic bot policy.
RequirementsAWS account, basic IAM knowledge, and Terraform installed.
Familiarity with Docker and Python (basic Flask) is helpful.
DescriptionModern web applications are increasingly exposed to a surge of automated traffic driven by AI crawlers, LLM scrapers, and malicious bots. These automated requests can consume bandwidth, distort analytics, increase infrastructure costs, and degrade application performance. Traditional defense mechanisms are no longer sufficient to handle these evolving threats. This course provides a comprehensive, hands-on approach to building a robust, multi-layered defense system against AI-driven bot traffic using AWS services.In this course, you will learn how to design and deploy a production-grade infrastructure using Terraform, AWS CloudFront, AWS WAF, Lambda@Edge, and other essential tools. Starting with a simple Flask application, you will progressively build a complete AWS environment, including networking, load balancing, auto-scaling, and edge delivery. You will then enhance this architecture with intelligent traffic routing, bot-aware caching strategies, and degraded content delivery techniques to efficiently manage bot traffic without impacting real users.The course also emphasizes real-world problem-solving, such as handling sudden bot traffic spikes, preventing cache collisions, and resolving missing asset issues. Additionally, you will analyze traffic data using Amazon Athena to generate actionable insights and implement a strategic bot management policy based on real data.By the end of this course, you will have the skills to design, deploy, and manage a scalable, secure, and cost-efficient AWS-based system that effectively defends against modern AI bot threats using a data-driven and infrastructure-as-code approach.
DevOps Engineers and SREs who manage production infrastructure and need to defend against automated traffic that spikes costs and degrades performance.,Cloud Architects and Security Engineers responsible for designing resilient, secure delivery pipelines on AWS and enforcing bot mitigation policies at the edge.,Software Engineers who own web application or API performance and want to understand how AI crawlers impact their systems and how to protect them using infrastructure as code.,CTOs and Tech Leads at startups or scale-ups who need a cost-effective, reproducible defense methodology that can be deployed quickly without relying on expensive third-party bot management vendors.
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