DDoS defense shifts to edge filtering and tighter rate limits
EaseCloud's blog post details strategies for protecting streaming infrastructure against DDoS attacks while maintaining performance, covering multi-layered defenses like edge protection, rate limiting, bot detection, and infrastructure scaling. It emphasizes distinguishing between legitimate traffic spikes and attacks, and offers guidance on automated responses. The article promotes Cloudflare and AWS Shield for edge protection.
Key Takeaways
- Cloudflare, AWS Shield, and Akamai are named as edge protection options that absorb attack traffic before it reaches origin systems.
- The post says edge protection adds 1-5ms of latency, while rate limiting can add under 1ms with Redis checks.
- Sliding-window rate limiting is recommended over fixed windows, with 429 responses and Retry-After headers for clients.
- Bot detection relies on JavaScript challenges, CAPTCHAs, and header checks; the post flags curl and wget as examples of minimal-header attack tools.
- Monitoring thresholds in the article include 2x normal traffic, error rate above 5%, and 4xx responses above 20%.
Why It Matters
For streaming infrastructure, the message is straightforward: security controls do not have to sit outside the performance budget if they are pushed to the edge and paired with lightweight rate limiting. The article’s broader point is that DDoS defense works best as a stack — edge filtering, bot detection, autoscaling, and application-level limits — rather than a single control. It also draws a line between legitimate traffic spikes and attacks, which matters for launches and live events. Watch for operators to tune alert thresholds and challenge/drop policies around the article’s 2x traffic, 5% error-rate, and 20% 4xx benchmarks.
Read full article at blog.easecloud.io
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