Emergency Scaling and Resource Management

Rapid scaling helps absorb attack traffic while maintaining service availability. Cloud platforms enable automatic scaling based on load metrics. Configure aggressive auto-scaling policies that activate during attacks. Accept increased costs during attacks – maintaining availability justifies temporary expense increases.

Resource prioritization ensures critical services remain available during attacks. Identify business-critical functions and allocate resources accordingly. Implement quality of service policies that prioritize important traffic. Configure circuit breakers to shed non-essential load during resource constraints.

Geographic load distribution spreads attack impact across regions. Shift traffic to regions with available capacity using DNS or anycast routing. Configure health checks to automatically route around overwhelmed locations. Implement regional failover capabilities to maintain service availability.

Cache acceleration reduces backend load during attacks. Implement caching at multiple layers including CDN, reverse proxy, and application levels. Configure cache preloading for critical content. Use cache versioning to ensure content freshness while maximizing cache effectiveness.

Effective DDoS mitigation requires combining multiple techniques tailored to specific attack types. Success depends on preparation, rapid response, and coordinated efforts across technical teams and service providers. The next chapter explores comprehensive DDoS protection services that provide integrated mitigation capabilities.## Cloud-Based DDoS Protection Services Compared

Cloud-based DDoS protection services have revolutionized how organizations defend against distributed denial of service attacks. These services leverage global networks, advanced filtering technologies, and massive bandwidth capacity to absorb and mitigate attacks that would overwhelm traditional on-premises solutions. This comprehensive comparison examines leading providers, their capabilities, pricing models, and deployment considerations.