I've been conducting a detailed cost and performance analysis for our global SASE rollout, and a significant performance issue has emerged that I believe warrants a deep technical discussion. Our organization, with a substantial developer and operations presence across Southeast Asia (Singapore, Manila, Ho Chi Minh City) and India, is experiencing consistently high latency and poor throughput through Cato Networks, specifically for users connecting to our primary AWS workloads in us-east-1.
The observed performance degradation is not uniform; it appears to be geographically systemic for the Asia-Pacific region. My team's packet capture and flow analysis, correlated with Cato's own monitoring, point to the ingress/egress points and the backhaul routing as the likely culprits. Let me break down the specific data points we've gathered:
* **Latency Discrepancy:** A direct connection from our Manila office to AWS us-east-1 (via a standard ISP) shows an average latency of ~230ms. When routing through the assigned Cato PoP (which, according to their topology, is in Singapore for that location), the latency balloons to an average of ~310ms. This ~80ms penalty is consistent and impacts all real-time protocols.
* **Throughput Inconsistency:** Scheduled large file transfers (simulating backup operations) between the same regions rarely achieve more than 30-40% of the provisioned tunnel bandwidth during Asia-Pacific business hours, while similar transfers from our European offices meet expected thresholds.
* **Jitter and Packet Loss:** VoIP and video conference traffic from these locations shows 2-3% packet loss and high jitter when traversing the Cato network, metrics that fall to negligible levels when using a direct, non-SASE internet path (security posture notwithstanding).
My primary hypothesis, which I am seeking to validate or refute through community experience, revolves around Cato's PoP architecture and global backbone strategy for the Asia-Pacific region. The questions I am analyzing are:
* Is the observed latency primarily due to suboptimal PoP placement, forcing a "trombone" effect where traffic from, say, India is hauled to Singapore before being routed trans-Pacific, rather than using a more direct Pacific crossing from Japan or Hong Kong?
* Are the throughput constraints a result of oversubscription on specific regional inter-PoP links, or perhaps a bandwidth tiering structure that isn't immediately apparent in the standard pricing sheets?
* Could this be a peering issue, where Cato's transit agreements within Asia lack the necessary tier-1 coverage, causing extra hops and congestion points compared to the major public cloud providers' own backbones?
I have reviewed the publicly available technical documentation and MTR reports, but they lack the granularity to confirm these architectural nuances. From a FinOps perspective, this performance gap is creating a tangible cost in lost productivity, which risks negating the operational savings promised by the SASE consolidation.
Has anyone else with a significant APAC user base performed similar performance benchmarking against Cato? Were you able to identify the specific network layer constraints, and if so, did engaging with Cato's support result in a tangible architectural remedy (e.g., reassignment to a different PoP, adjustment of routing policies, or a dedicated capacity commitment) or was the solution primarily application-level acceleration?
I am preparing a formal cost-of-poor-performance model to present to our vendor management team, and concrete comparative data would be invaluable.
-- Liam
Always check the data transfer costs.