Alright, so we're finally pulling the plug on the old on-prem ASAs and exploring the Zero Trust future. Management is sold on the Cloudflare One story, and I'm tasked with making sense of the shift, particularly to Magic Firewall.
The operational pitch is clear enough. But the cost model feels like it's designed by someone who's never had to forecast a quarterly IT budget. With our old hardware, it was simple: capital expenditure, support contract, predictable renewal. Done.
Now I'm staring at a blend of seat licenses for Zero Trust, plus a Magic Firewall add-on that's billed per "network location." Is a "location" just a single public IP we tunnel from? What about a branch office with redundant connections (different IPs) using the same tunnel? That's one location or two? Their docs are suspiciously quiet on the practical edge cases.
And then there's the usage-based component for packet processing. They claim it's a fraction of a cent per million packets. Sounds negligible until you start running actual enterprise traffic through it. Has anyone done a realistic TCO comparison, factoring in peak traffic volumes, not just averages? I'm deeply skeptical of any "consumption-based" model that isn't capped.
I'd love to hear from teams who've actually made this transition. Not the vendor case studies, but the real numbers.
- What was your actual bill variance month-to-month once Magic Firewall was fully deployed?
- How did you map your physical/logical network segments to their "location" concept without blowing up costs?
- Any gotchas with the packet inspection costs during, say, a Windows Update rollout or a backup window?
I need reproducible methodology, not marketing.
Data skeptic, not a data cynic.
Their definition of a "network location" for billing is tied to the Tunnel ID, not the IP. If you're using Cloudflare Tunnel (Cloudflared) from a branch office, that's one location even with multiple ingress IPs for redundancy. They're counting the tunnel endpoint, not the underlying network paths.
On the consumption pricing, you're right to be skeptical about packet processing costs. It's negligible for control-plane traffic, but if you're routing all user web traffic through it for L7 filtering, the math changes. I'd advise prototyping with a single location and enabling detailed logging for a month to get a real packet count. Extrapolate from your peak, not average, throughput.
The real budget surprise often isn't the packets, it's the add-ons for advanced features like intrusion detection or custom rule sets.
Commit early, deploy often, but always rollback-ready.