The New DDoS Playbook: Lessons from Khan Academy, Yottaa, and Magnolia
Blog post from Fastly
Modern DDoS attacks increasingly use brief, high-volume traffic bursts that can end before security teams can respond manually, making automated mitigation essential. Fastly highlights Khan Academy, Yottaa, and Magnolia as users of its DDoS Protection and Adaptive Threat Engine, which establish traffic baselines, distinguish legitimate demand spikes from attacks, and block malicious traffic in near real time. Khan Academy reports automatically stopping a traffic spike exceeding 17,000% amid ongoing bot activity, Yottaa uses the service to protect more than 1,500 ecommerce storefronts from short-lived attacks during critical sales periods, and Magnolia applies shared protections across hundreds of customers while maintaining a 99.9% uptime SLA. Across these examples, Fastly presents automation, low false-positive rates, and edge-based security tools as ways to reduce operational disruption while preserving availability.
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