DevSecOps on AWS: Defend Against LLM Scrapers & Bot Traffic

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Udemy Coupon: DEVSECOPS11 – active 17.11.2025-22.12.2025;
in case coupons are already expired, please check that page regularly – new one will appear soon


Hi, I am glad to represent my new course: “DevSecOps on AWS: Defend Against LLM Scrapers & Bot Traffic”. Below is the course promo description.

Something very unusual happened in July 2025. Across hundreds of websites — from small startups to global platforms — bot traffic suddenly surged to a completely new, unseen scale. And no… this wasn’t a coincidence. It was a perfect storm — the AI Data Gold Rush colliding with Google’s Big Search Shake-Up…and this wave is not slowing down anytime soon.

Classical search bots like Googlebot or Bingbot are predictable — they follow rules, respect crawl delays, and obey robots.txt.” “But LLM bots? They are completely different. Far more aggressive, sending large bursts of request, ignoring robots.txt and bypassing every traditional standard we’re used to. And the truth is now impossible to ignore: Bots already generate more traffic than real users – 51% bots. 49% humans. And the gap is growing.

But here’s the good news: You can take control. No single tool can stop modern AI bots. But a multi-layered, strategic defense can.

Autoscaling alone won’t save you — it reacts too slowly, it scales after the spike,  and by that moment… bots have already drained your resources.

That’s why we’ll design smarter systems: routing bots away from your expensive application, serving them cheap, degraded content, and letting CloudFront do the heavy lifting.

And then — your perimeter defense:

  • White lists
  • Black lists
  •  GEO lists
  • Rate limits
  • Managed AWS rules
  • and the most powerful tool of all: AWS WAF Bot Control — in both Common and Targeted modes

You’ll understand what it sees, how it classifies bots using ML and behavioral signals, how AWS’s client-side SDK integration gives WAF data it needs to detect even the most sophisticated scrapers.

In this course, we will build a real system. A real bot-aware infrastructure for learning from scratch. By the end, you would be able to create your own Strategic Bot Policy,  built on real logs, real data, and a fully working AWS environment. You will know exactly:

  • which bots to allow
  •  which bots to block
  •  which one to rate-limit
  • and which  to send to cheap degraded content

This is the skillset companies desperately need right now — because AI bots aren’t slowing down. They’re accelerating.”“So if you’re a developer, DevOps engineer, cloud architect, or simply someone responsible for a website…
This course will change the way you see traffic forever.

Join me — and let’s dive togather at building  a real, modern, multi-layered defense against AI bots. Your app… and your AWS bill… will thank you.


About the author

sergii-demianchuk

Software engineer with over 18 year’s experience. Everyday stack: PHP, Python, Java, Javascript, Symfony, Flask, Spring, Vue, Docker, AWS Cloud, Machine Learning, Ansible, Terraform, Jenkins, MariaDB, MySQL, Mongo, Redis, ElasticSeach. Udemy instructor with over 35K students.

architecture AWS cluster cyber-security devops devops-basics docker elasticsearch flask geo high availability java machine learning opensearch php programming languages python recommendation systems search systems spring boot symfony

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