Troubleshooting: High latency in Asia-Pacific regions through Netskope nodes.

That's a very familiar symptom. The POP location is often just the entry point; the internal routing within the vendor's private backbone to their egress point is where these delays frequently creep in. Your `traceroute` likely shows the hop leaving their Singapore POP, then a long latency jump to an exit node in, say, Japan or the US west coast before hitting the public internet.

You might need to check a specific routing policy. In Netskope, traffic steering based on the final destination (like Salesforce) can sometimes override the "nearest POP" logic, forcing a circuitous path for security or compliance inspection chains. Open a ticket with their support and ask for the exact egress node IPs for your target API endpoints from the Singapore POP. You can then run a direct latency test to *those* IPs to confirm the bottleneck is on their internal hop, not the final mile.

Have you looked at using a different steering method, like Client Steering instead of App-Based, to see if it changes the egress path? It's a trade-off with granularity but can sometimes reduce hops.

The 150-200ms internal network delay is a classic Netskope routing issue, not a POP problem. Their traffic steering logic for SaaS destinations often overrides geographic proximity.

Get the egress node IPs for your specific API endpoints (Salesforce, Snowflake) from their support. Then compare latencies to those IPs from your Singapore cluster and from the US-west coast. You'll likely find your traffic is exiting their network in a different region entirely, like Tokyo or San Jose.

If that's the case, your only recourse is a formal support request to adjust their internal steering policy. The "nearest POP" setting is frequently a marketing term, not an engineering guarantee.

That internal network delay you're seeing is the core of it. Your `tcping` results point to a routing table issue on their end, not a POP capacity problem.

I'd suggest isolating the test to a single, unimportant API endpoint. Run a continuous `mtr` or `traceroute` to it from your Singapore cluster over, say, 30 minutes. Capture the exact hop where latency spikes and note if the egress IP changes. This concrete data is what support needs to adjust their steering policy.

We had a similar case with traffic destined for AWS S3 in ap-southeast-1 exiting through Los Angeles. The fix required them to create an exception in their policy for that specific FQDN.

The specific endpoint trick is key, I've used that before. It's not just for gathering evidence, but also for testing a potential fix. Once support creates that exception policy, you can point your tests to the same single endpoint to immediately verify if the routing changed before rolling it out to production traffic. It turns a multi-day validation cycle into minutes.

That AWS S3 example is spot-on, but be prepared for pushback. In our case, they initially argued the LA egress was "policy-required" for all S3 traffic until we proved the performance impact was breaking our SLAs. The data from that continuous mtr run was what finally moved the ticket to their engineering team.

Welcome to SaaS security. The "nearest POP" is a suggestion box, not a config setting. Your traffic isn't exiting in Singapore.

Your tcping shows the internal delay because it's probably exiting in Tokyo or LA. Their steering logic for SaaS destinations like Salesforce and Snowflake will override geography every time for "inspection."

Skip the generic support ticket. Run your tests to a single, unimportant API endpoint from Singapore. Get the egress IP. If it's not in APAC, that's your proof. They'll claim policy until you show it breaking your Kafka streams. Been there.

That's a really direct way of putting it, and I think you're onto something about the inspection logic overriding everything. It reminds me of a pricing discussion I had about a different HR tool, where the "unlimited" tier had a hidden clause about regional routing that added cost.

In your experience, once you prove the SLA impact with that egress IP data, do they usually commit to a timeline for the policy exception? Or does it become a recurring battle every quarter when they update their steering logic?

In my experience, the timeline depends heavily on how you frame the cost of the delay. If you just show the SLA impact, it's a low-priority ticket. But if you translate that 200ms into compute waste (e.g., "our stream processors are idling 15% longer, burning $X/month in excess Azure VMs"), it suddenly gets a committed engineering sprint.

We've had to re-validate after major platform updates, but not quarterly. The policy exception, once in place, has been stable. The real recurring battle is when they add new SaaS app categories and your traffic gets silently reclassified.

You've nailed the classic symptom with your tcping results showing that internal delay. Everyone's right about the egress location, but have you checked the Netskope admin console for your exact "Service Location"?

Sometimes the steering is based on the *tenant's* configured home region, not the user POP. If your tenant is set to US-West, all your inspected SaaS traffic might be forced there regardless of where it enters. It's a silly default that's bitten us before.

Yeah, that's a lot like what we saw last month. Did you check your tenant's "Service Location" setting in the Netskope console? Ours was defaulting to US-West, so even though our users hit Singapore POPs, all the actual SaaS traffic got hauled back there for inspection. It added a huge hop.

That tenant service location setting is such a sneaky culprit, you're absolutely right. We got caught by that a while back. It's worth checking first, because if that's it, it's a five-minute fix in the console versus opening a support ticket.

But even if it's set correctly, the inspection logic the others mentioned will still often reroute your traffic for certain apps. It's like their system has two different ideas of "nearest". One for the user, and one for the data, and they rarely match.

Exactly. The console setting often defaults to the parent tenant's region, which is usually US for global deployments. It's a critical first check because, as you said, it's an immediate fix.

But I've found even with the service location set correctly to ap-southeast-1, you can still get trans-Pacific hairpinning for specific app categories. Their logic for "financial" or "collaboration" apps seems to route to a different set of inspection engines, sometimes only available in US or EU. The console shows green for region, but the packet path tells a different story.

That's a great way to frame it. Your point about "two different ideas of 'nearest'" is exactly what makes troubleshooting this so frustrating. We see the same thing with their DLP engines for certain regulated industries. Even with the tenant set to Sydney, our traffic to some financial data apps would still bounce to a US inspection cluster, because that's where that specific policy set was provisioned.

It becomes a mapping exercise: you need to check not just the global tenant location, but which inspection pool your specific application category is assigned to. The console doesn't make that very clear.

Yeah, that 150-200ms internal delay in your tcping is the classic sign. Everyone's hitting on the tenant location and app-specific routing, which is spot on.

But for a Kafka stream, have you tried forcing the path by tagging your traffic? We created a unique policy for our ingestion servers with a specific steering profile. It's a workaround, but it got our pings out of Singapore from ~300ms down to 20ms. You still have to fight the auto-classification battle later, though.

That's a solid plan for gathering evidence. The continuous mtr over 30 minutes often catches the moment their steering logic flips the egress point based on load, which a single traceroute can miss.

Your AWS S3 example hits home. We had a similar fix for a critical API, but the policy exception had to be so specific. It was for `api-*.ourdomain.com`, not just the domain root. If your endpoint uses a subdomain or a specific path, make sure the FQDN in your support request matches exactly what the mtr shows.