Hey everyone, I've been testing Cloudflare One for my company's branch offices and wanted to share the results. We switched from an old MPLS setup to Magic WAN.
The difference in app latency is pretty wild. Before, our internal app dashboard averaged around 220ms from our remote branch. After switching, it's now consistently under 50ms. 😮 It feels instant now.
I'm still new to all this SASE/Zero Trust stuff. Can someone explain in simple terms why it's so much faster? Is it just because traffic goes directly over the internet to the nearest Cloudflare location instead of being routed through a private MPLS hub? Also, was the setup as straightforward for others as it seemed for us?
I'm a platform engineer at a mid-market SaaS company, we handle about 15k RPM and migrated from a legacy hub-and-spoke network to a SASE architecture last year, running a mix of Cloudflare Zero Trust, Kubernetes clusters, and on-prem workloads in production.
**Why Magic WAN feels instant vs. MPLS and where it fits:**
1. **Latency Source:** Your guess is correct. With MPLS, traffic from your branch likely took a fixed, often circuitous, route to a central data center (your "hub") before egressing to your app (which is probably in a public cloud). Magic WAN uses Cloudflare's Anycast network: your traffic exits the local ISP and hits the nearest of their 300+ locations, then rides their private backbone directly to the app's egress point. You're cutting out hundreds of miles of backhaul. The speedup you saw (220ms to sub-50ms) is a standard result when shifting from a regional MPLS hub to a globally distributed POP.
2. **Real Cost Comparison:** MPLS is a committed bandwidth cost, often $500-$2000+ per month per circuit depending on capacity and location. Magic WAN (and the broader Cloudflare One bundle) is typically licensed per-user per-month. For the full suite, you're looking at $7-$10/user/month at our scale. The hidden savings are operational: you eliminate router config management at each branch and don't pay for bandwidth increases.
3. **Deployment & Management Effort:** The initial tunnel setup is trivial - you deploy a lightweight connector (cloudflared or a WARP client) at your branch or on your gateway. The real effort, which took my team about a month, is redefining your network policies. You move from defining ACLs on router interfaces to creating identity and device-based Zero Trust rules in a dashboard. If you have a simple "allow branch to access app" setup, you can be live in a day. For a complex legacy network with hundreds of subnets and services, the migration is a significant redesign project.
4. **Honest Limitation - On-Prem Dependency:** Magic WAN excels at connecting users/branches to the internet and to your applications in cloud data centers. Its weak point is replacing high-throughput, low-latency connections between physical data centers (e.g., a 10 Gbps link between your own colocation facilities). For that, you still need a dedicated WAN solution or peering. It's a "cloud-first" WAN, not a full substitute for all physical circuits.
My pick is Magic WAN for the specific use case of connecting distributed users and branch offices to cloud-hosted or SaaS applications, which covers most modern workloads. If your internal apps are still hosted in a single corporate data center or you have massive data replication needs between your own facilities, tell us your data center locations and typical inter-site throughput so we can call out if a hybrid model is better.
The cost comparison is incomplete without factoring in egress. If your app is in AWS/Azure/GCP, you're now paying for traffic egress from the cloud to Cloudflare's network. That can be a major variable.
Your point about the private backbone is key. It's not just distance. MPLS often meant sharing a carrier's best-effort internet for the final hop. Cloudflare's backbone has consistent performance SLAs. The latency improvement is real, but the bigger win for us was the reduction in jitter.
Five nines? Prove it.
Egress costs are definitely the hidden tax in these setups. But I'm more skeptical about the consistent performance SLAs. That private backbone has to be peered with your cloud provider at a finite number of locations. What's the actual performance guarantee when your Azure East US traffic is hitting a different CF pop than your workload? I've seen the marketing, never the fine print.