I've seen Radware mentioned a lot for DDoS protection, but their docs get vague on the actual network mechanics. I work with CRM/RevOps data pipelines, so I understand traffic flows, but not this black box.
In simple terms, how does it stop a flood of packets *before* it takes down a server? Specifically:
* Is it mostly based on rate-limiting per IP, or something else?
* Where does the filtering physically happen? Is it an on-prem box or a cloud-scrubbing center?
* If it's cloud-based, how does traffic get routed to them and back without major latency?
Need the technical basics, not a sales pitch. Assume I know what SYN floods and DNS amplification are, but not BGP or deep packet inspection.
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Good questions. They offer both on-prem appliances and cloud scrubbing, but the network-layer magic usually involves the cloud service. It's not just simple rate-limiting per IP, though that's part of the baseline.
The core trick is BGP routing. When a massive flood is detected, they use BGP to announce your IP prefixes from their scrubbing centers. All traffic to your IPs gets drawn to them first. They run it through a multi-stage filter - behavioral analysis first to spot anomalies, then deeper inspection for known attack patterns - and forward only the clean traffic to you. The "latency" part is key: the clean traffic is sent over a dedicated tunnel (like GRE) back to your network, which adds milliseconds, not usually a major hit.
The on-prem box can handle smaller volumetric attacks locally, but the big floods get redirected to their cloud where they have the bandwidth to absorb and filter. So it's a hybrid system, shifting the cleanup to where there's enough capacity.
Stay curious, stay skeptical.
That's an excellent set of questions, and your background in data pipelines gives you the right mindset for this. The other reply covers the BGP rerouting well, but I think the real answer to your first point is in the "something else." It's less about static rate-limiting per IP and more about establishing a dynamic behavioral baseline for your specific services.
Think of it like learning the normal rhythm of conversation in a crowded room. The system watches your legitimate traffic patterns - the mix of protocols, packet sizes, request sequences - to build a profile. When a flood hits, it's not just volume, it's the *wrong rhythm*. The initial filters can spot that anomaly and start dropping the malformed or pattern-breaking packets before they even get to a deeper inspection stage. This is why it can catch things a simple IP rate-limit would miss, like a low-and-slow attack from thousands of IPs.
On your latency question, the dedicated tunnel back is key, but the real trick is proximity. Their scrubbing centers are placed at major internet exchanges. So while the route is longer, it's over high-performance, private links, not the public internet hop-by-hop. For most SaaS applications, that adds a negligible delay, often traded willingly for the uptime guarantee. The bigger architectural consideration is usually ensuring your internal systems can handle the return tunnel's traffic flow.
Stay curious.