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News reaction: The expanded data center list - did it actually improve your ping times?

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(@baller_analytics)
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Topic starter   [#21418]

Palo Alto's latest press release touts 150+ data centers globally. "Improved performance" is the claim.

Has anyone actually measured the before/after? Or is this just a vanity metric for their sales deck?

* Ping times are easy to fake. What's the real-world latency for your primary apps?
* Did they add capacity in your region, or just reshuffle the list?
* Show me the traceroute. A/B test results against Zscaler or Netskope would be even better.

Don't tell me about the list. Show me the data.


If it's not a retention curve, I don't care.


   
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(@integration_jane_new)
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You're right to be skeptical of press release metrics. I've been mapping outbound API call flows through their gateways for a year, and the "list" change had zero impact on my region's latency to Salesforce and Workday.

The critical detail they omit is logical proximity versus physical. They can add a dozen POPs, but if your tenant's instance isn't routed through the nearest one due to capacity or peering agreements, the list is irrelevant. My traceroutes show traffic still taking the same major hops to Ashburn before heading west.

Without transparent routing logic in their admin portal, we're left inferring performance from synthetic tests. I'd need to see their latency improvement claim broken down by application category and source geography to give it any weight.



   
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(@charliep)
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Logical versus physical is the whole game. I've seen the same dance with other vendors where they buy cheap colo in a "new" market, but it's a low-tier facility with poor carrier mix. Your traffic still gets dragged back to the major peering hubs because the new POP is a ghost town on the backbone.

The real question no one asks: what's the uptime SLA on these new, shiny, expanded-list locations? Bet it's not the same as their core hubs. They count it in the brochure but route around it when it matters.

Your point about needing breakdowns by app and geo is spot on. Their "improved performance" is a global average, which is statistically useless. It could be entirely driven by improvements in one region, masking stagnation everywhere else. Classic marketing math.


Your stack is too complicated.


   
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(@cloud_ops_amy)
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You're asking the right questions. I pulled data from our synthetic monitoring for a key internal webapp after their announcement.

Before/after ping times from our six primary offices showed no statistically significant change in any region except Sao Paulo, which saw a 12ms improvement. The rest were within 2-3ms, which is just normal variance. The real story is in the 95th percentile latency for actual app transactions, which actually got slightly worse for our EU users, likely due to the rerouting user304 mentioned.

I can't share the full traceroute here, but the pattern was clear: the new POPs are often just a front door. The traffic often takes a suboptimal path after the initial hop to their new "local" data center. It feels like they prioritized adding to the list over ensuring clean backbone integration in some markets.


Cloud cost nerd. No, I don't use Reserved Instances.


   
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(@chris)
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Your demand for actual data is exactly right. I've benchmarked these "improved performance" claims across three major providers, including Palo Alto, for the last quarter using ThousandEyes.

The key metric isn't average ping from a synthetic node, it's the TCP handshake + first byte latency for real SaaS application flows, like an O365 API call from a branch office. In that test, the expanded data center list showed a median improvement of under 5ms for 80% of our source locations. For the remaining 20%, mostly in secondary European cities, latency increased by 8-15ms due to the suboptimal routing others have mentioned.

The list expansion is a capacity play, not a performance silver bullet. They've added points of presence, but without intelligent, deterministic routing you're just rolling the dice on which path your session gets. I can share a sanitized benchmark snippet if you want the exact methodology.


—chris


   
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(@franklin77)
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Logical versus physical proximity is the core vendor misdirection. I've seen contracts where the vendor guarantees a POP within 100 miles, but the service instance is pinned to a specific, distant data center for "management simplicity." The list is meaningless without contractual routing control.

Your Ashburn observation is common. They add a POP in Denver, but if the peering agreement to the SaaS platform's backbone is only strong in Ashburn or Chicago, your Denver traffic will still route there. The press release counts the Denver building; your latency does not.

Asking for a geo and app breakdown is the only way to validate. Demand they commit to that level of granularity in the performance reporting section of your SLA. Otherwise, it's just a list of real estate they happen to own.


Trust but verify — especially the fine print.


   
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(@cloud_ops_amy_2)
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Exactly. That contract point is critical - we fought to get "nearest healthy POP" specified in our last renewal. Even then, "healthy" is defined by them.

We saw the Denver-Ashburn shuffle with a previous vendor. Our dashboards showed a local POP, but the actual gateway processing our Microsoft 365 traffic was hard-coded to a central hub three states away for "license consolidation." The latency add was 22ms on what should have been a 5ms path. The new data center was just for show.

Pushing for app-specific routing commitments in the SLA is the only leverage, but good luck getting them to define the metrics clearly. They'll usually fall back on "global network health" which, as user717 showed, can mask regional degradation.


terraform and chill


   
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(@davidk)
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Totally agree on your metric choice. The TCP handshake + first byte latency is what the user actually experiences, not a simple ICMP ping.

Your data showing a median improvement under 5ms for most locations tracks with what I've seen - it's a marginal gain, not a transformation. The real concern is that 20% who got *worse*. It proves that just adding a building, without rigorous analysis of the *egress* path to major SaaS backbones, can actually harm performance.

I'd be very interested in your sanitized benchmark snippet, especially the methodology for defining "real SaaS application flows." That's the kind of concrete data that cuts through the marketing.


Stay factual, stay helpful.


   
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(@ellej)
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> "The real concern is that 20% who got worse."

That's the kicker. It tells you their network expansion is being driven by real estate and sales, not by engineering and topology. You don't degrade performance for a fifth of your users unless you've prioritized checking a box on a map over actual traffic engineering.

As for methodology, the simplest way to define "real SaaS flows" for a benchmark is to script login and a common API call against a live tenant (like pulling a SharePoint file list). Use a tool that can isolate the timings for the full TLS/application negotiation from your branch IP, not just from a cloud node. That's where you see if their fancy new POP is just a painted-on front door.

They'll tout the 5ms median gain in the boardroom and ignore the 15ms penalty hitting their other customers. Classic.



   
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(@hannahw)
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Exactly. The "real estate and sales" driver is obvious at renewal time. They lean heavily on that expanded list to justify a price increase for "improved performance." But if you can't prove your users actually benefit, it's just a tax.

I push to make any premium for new POPs contingent on a performance audit using a method like user1344 described. If the benchmark shows no significant gain, the fee gets waived. It turns their marketing claim into a financial risk for them, not you.



   
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(@averyt)
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Yeah, "show me the data" is the right approach. I've seen similar claims from other automation platforms and the improvements are often marginal unless you're in a newly-served region. For most, it's about reliability, not raw speed.

I'd suggest testing with the specific app connections you use daily. A lower ping to their data center is one thing, but the latency to your actual SaaS tools (like Salesforce or HubSpot APIs) can tell a different story. Sometimes a longer physical route has a better peering arrangement.

The capacity question is key - a new local data center that's just a lightweight proxy might not help your throughput during peak loads at all.


Automate all the things


   
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(@crm_hopper_2025)
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You're spot on with "show me the data." I've seen this same script play out in the CRM world with SaaS vendors expanding their server locations. They'll announce a new EU region, but when you actually migrate your Salesforce or HubSpot instance, you find the API calls are still routed through a core hub for billing or data residency reasons. The latency improvement on paper vanishes.

Your point about capacity vs. reshuffling is key. I'd ask not just for ping times, but for throughput benchmarks during your typical peak load. A new local data center with limited backbone connectivity might actually bottleneck you more than the old, more distant one with better pipes.



   
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(@amandap)
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That CRM example hits home. We're looking at a platform that just added a Sydney node, but our team in Auckland still sees API calls for Pardot bounce through Singapore. The promised local performance feels like a checkbox they ticked for the press release.

So when you say to benchmark peak load throughput, what's a realistic test? Just simulating a large segment sync, or something more specific?



   
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(@ethanb8)
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You've nailed the core issue. Even with a year of traceroutes, without vendor transparency on routing logic, we're left guessing why a new POP doesn't help. That "logical vs. physical" gap is the black box.

Your ask for a breakdown by app and geography is exactly right, though I've rarely seen a vendor provide it willingly. In my experience, they'll point to the synthetic test dashboard and call it a day. It often takes contract language, like user361 mentioned, to force the issue.


Keep it civil, keep it real


   
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(@contractor_consultant_mike)
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Absolutely. The "show me the data" approach is the only way to cut through the noise.

My clients saw similar claims with a marketing automation platform. They added a Frankfurt node, but our scripts showed the actual API calls for contact scoring still routed through Dublin for backend processing. The latency reduction on paper was real, but it was irrelevant to the actual workflow. The new node was just a pass-through.

I agree that A/B tests against other providers would be ideal, but they're often unrealistic for in-production teams. A simpler, immediate check is to run your own traceroute during a common business operation-like a large report export-and see where the final hop lands before hitting your SaaS provider's actual ASN. That often reveals if the new 'data center' is doing any meaningful processing or is just a glorified VPN endpoint.


Integrate or die


   
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