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by nnnnnnnn 4984 days ago
Github can easily afford to use someone like Prolexic. And they should.

When you say things like "And it's all dependent on attackers not getting the IP of your actual servers" this makes me wonder how much you understand the subject matter. There are many, many options.
1 comments
Firehed 4984 days ago
Prolexic's servers don't take the load if the attackers know where the computers behind the scrubbers are. Configuring iptables to ignore all traffic not coming from prolexic's IPs doesn't come close to fending off a DDOS.

I know this because I was told this by prolexic while configuring our servers to sit behind their scrubbing servers while we're under an equally crippling DDOS (one that took down half the customers in our datacenter, not just us). So while I haven't examined their tech stack under a magnifying glass, I'm not exactly talking out of my ass here.

Yes, there are other options but those don't take an hour to implement like signing a contract and changing a few DNS entries does. And when these conditions exist, you need an answer that can be implemented in an hour.

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nnnnnnnn 4984 days ago
You are fabricating straw men. They do not need "an answer that can be implemented in an hour." They have been in business for 4 years, and this particular string of DDoS attacks has been going on for several days now. This is both a a planning failure and an incident response failure.

Your comment about iptables is odd. I don't know why iptables would be relevant here; I suspect we are talking about implementations several orders of magnitude different in size. Certainly one would drop traffic at the edges and not do filtering on end nodes.

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Firehed 4984 days ago
Speaking from experience, most companies don't think to implement DDOS protection until they're under attack. It's just not on most people's checklists. Hence the need to implement something in an hour. The fact that its a problem proves my point.

Yes, it sounds like our scales here are quite different. I'm referring to a few machines in a single data center, not hundreds being geographically distributed.

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