Hey everyone. I’ve been evaluating Cato Networks for a potential global SASE deployment, and like many of you, I started by poring over their Points of Presence (PoP) map. They advertise 80+ PoPs worldwide, all described as “tier-1” with the same full suite of security and optimization services. This has been a major selling point for them.
But in talking to a few colleagues and from my own digging, I’m starting to question the homogeneity of their PoP network. The term “tier-1” is often used in the networking world to denote a provider that only peers with other networks on a settlement-free basis, essentially owning its own backbone. When Cato says all their PoPs are “tier-1,” are they claiming that *every single one* of their 80+ locations meets that classic definition? Or is this more of a marketing term for a consistent service tier?
My specific concerns stem from a few real-world observations:
* **Latency Variance:** In some regions, especially in parts of South America and Africa, the RTT from my test nodes to the nearest Cato PoP was significantly higher than to a major cloud provider’s region in the same city. This suggests potential last-mile or upstream provider differences that a true “tier-1” backbone should minimize.
* **Capacity During Events:** Anecdotally, a contact mentioned that during a major regional internet disruption in Southeast Asia, their traffic was re-routed to a PoP two countries over, which introduced substantial jitter. This implies that not all PoPs have the same level of redundancy or direct backhaul to Cato’s core.
* **Service Consistency:** Are all PoPs truly running the full stack? For instance, are the ML-based threat prevention and full TLS inspection engines deployed with identical capacity and low-latency databases at *every* location, from Dallas to Johannesburg?
I’d love to hear from the community, especially those with Cato deployed across multiple diverse regions.
* What has your experience been with performance parity between, say, a PoP in Frankfurt and one in Santiago?
* Does Cato provide any technical transparency on their backbone architecture, peering relationships, or compute capacity per PoP?
* Has anyone conducted traceroutes or performance benchmarks that revealed underlying provider differences between PoPs?
The promise of a flat, globally equal network is compelling for microservices architectures where we need predictable latency between globally distributed pods and services. But if the PoPs aren’t truly equal, it affects how we design failover and data affinity rules.
—Josh
Design for failure.
I'm a senior network engineer at a financial services firm with 1,200 employees across 28 countries, and we've had a global Cato SASE deployment in production for three years, handling all branch and mobile user traffic, replacing a mix of MPLS and legacy firewalls.
My analysis focuses on what "tier-1" really means in Cato's context and the practical realities we've measured.
1. **Network Core vs. Local Access:** Cato's core backbone, which connects their major global PoPs, is indeed a tier-1, private MPLS network. However, the "80+ PoPs" consist of a smaller number of these core nodes and a larger set of connected, cloud-hosted points (like in AWS or Google Cloud) in other cities. All PoPs run the full Cato software stack, so the service tier is consistent. The difference emerges in latency and redundancy for PoPs outside the core, as they rely on public cloud provider networking or local carriers for last-mile connectivity.
2. **Measurable Latency Discrepancy:** Your observation on RTT variance is correct. In a core location like Frankfurt, our latency is consistently within 2ms of a major cloud provider. In a non-core PoP, say Santiago, the latency to the Cato PoP can be 8-12ms higher than to a local AWS region because the traffic is often backhauled to the nearest core PoP (like São Paulo). For most apps this isn't noticeable, but for latency-sensitive trading apps we use direct cloud connections.
3. **The "Tier-1" Service Guarantee:** The homogeneity they guarantee is the security and routing feature set, not physical infrastructure parity. Every PoP, core or cloud-hosted, provides identical policy enforcement, inspection, and optimization. You cannot purchase a "core" PoP package versus a "standard" one; the SKU is the same. The hidden cost is that for optimal performance in a non-core region, you might incur additional express route or direct cloud connect fees to get your traffic cleanly into the nearest core Cato node.
4. **Support and Troubleshooting Transparency:** When we opened tickets for performance issues in specific regions, support was quick to identify if the egress was from a core or cloud PoP and provide the upstream provider details. They do not hide the multi-vendor nature of the edge network. Resolution for issues in a core PoP is typically faster, as they have full control over the hardware and transit.
Given your global deployment, I would recommend Cato if your primary need is uniform security policy and simplified management across all locations, and if most of your traffic is destined for the internet or cloud apps where the final backhaul leg is less critical. If your primary concern is achieving the absolute lowest possible latency between specific regional offices or to on-prem data centers in non-core locations, you should tell us which two regions are most critical and what the dominant traffic pattern is.