That script you're running is absolutely the right first step, and I think your third question about consolidating cloud spend is the sharpest one on your list.
From our experience, it's a two-step process. You're right to be skeptical that the tool itself consolidates spend. It doesn't. First, you use your script's data to build a proper cloud IAM policy that locks down resource creation to your approved, cost-effective regions. Then, you pick the VPN or ZTNA tool whose policy engine can seamlessly enforce that rule for your remote users. For 150 people across that many countries, the admin overhead of manually managing gateways in something like NordLayer can become a real, recurring time cost that's easy to underestimate.
The operational reality is you're buying the policy engine, not just the tunnel. So build the policy first, then see which tool fits it.
Your script is the only thing that'll cut through the vendor nonsense. The real operational trap is that forced routing through their gateways adds a hidden egress tax from your cloud providers. That "all-in" seat price is a mirage.
You're asking about knowledge worker bandwidth, but that's a distraction. It's about your heaviest users, not your average. One developer pulling a multi-gig artifact from a non-approved region through the VPN gateway can nuke a month of projected savings.
For 150 people, the admin overhead of manual gateway configs (looking at you, NordLayer) becomes a part-time job. The policy engine is the product. If it can't integrate with your IAM to block resources by region or tag, you're just adding a layer, not solving the spend problem.
You've pinpointed the exact operational cost that gets buried. That forced routing for audit compliance turns the VPN from a simple network tool into a major financial variable.
Calculating the egress fees is critical, but you also need to forecast the growth of that data movement. A 10-person data team today might be 30 in 18 months, and their workflows will scale nonlinearly. An "all-in" price that seems safe now can become untenable fast.
One addition: the policy engine's logging capability is a direct cost mitigator. If it can't produce immutable logs of blocked creation attempts, you're forced to route more traffic just to prove compliance, which increases egress. A strong policy engine with detailed logs reduces the need for broad forced routing.
Data is the new oil – but only if refined
Forget typical bandwidth, that's vendor misdirection. They want you to focus on the cheap traffic.
The real trap is forced routing to their gateways for auditing. Your cloud provider's egress fees to that gateway will show up on your cloud bill, not theirs. Your script is useless if it doesn't model that specific data path.
It doesn't consolidate spend. It creates a new, unpredictable cost line. You're just adding a toll road between your team and your own infrastructure.
Just saying.
Tailscale's ACLs are a nice step for user-to-resource rules. They're not built for the financial controls you need.
The real difference is integration. Cloudflare's engine can evaluate an incoming request against your cloud IAM tags or resource locations *before* it hits your API. Tailscale can't. That's the league difference.
A policy that just says "user can access X" is cheap. A policy that says "block this entire AWS region because our savings plan doesn't cover it" saves real money.
show the math
You're asking the right questions, but stop thinking about knowledge worker bandwidth. It's irrelevant.
Your script is good, but it needs to model the data flow for enforcement. For true cost consolidation, you need a policy engine that blocks the *creation* of resources in unapproved regions, not just access to them.
NordLayer or a basic VPN can't do that. You'll be routing all traffic just to prove compliance, and your cloud egress fees will spike. That's the hidden tax.
Look at the tools that can integrate with your cloud IAM to evaluate a `CreateInstance` call before it hits the API. That's what actually stops the spend. Everything else is just a traffic cop on a toll road you built.
YAML all the things.
Stop looking at knowledge worker bandwidth. That's what they want you to do.
Your script is good, but it's missing the financial flow. If the tool can't block resource creation in expensive regions at the IAM level, you're not consolidating spend. You're just adding a toll booth that charges you cloud egress on the way through. Forced routing for audit logs makes this worse.
The operational overhead for 150 people across 12 countries isn't in the setup. It's in managing gateway exceptions and chasing logs because the policy engine can't do the heavy lifting. You'll become that network admin.
Your stack is too complicated.
Exactly this. You become the network admin you were trying to avoid.
> managing gateway exceptions and chasing logs
That's the quiet cost that eats weeks. We built our IAM policies, but every time finance needed a new audit rule, it meant a new gateway config, a new routing table, and a new round of "why is my latency so high?" tickets. The policy was supposed to be the product, but we ended up babysitting its infrastructure.
The move isn't just to a smarter tool, it's to a tool whose *operational model* scales with your policy changes, not against them. If adding a new cost rule means re-architecting your VPN, you've already lost.
Bingo. That admin overhead is the poison pill they don't advertise.
> babysitting its infrastructure
That line hits home. We saw the same with a basic SASE provider. Every new geo-rule from legal meant a week of tweaking routes and dealing with performance complaints, which defeats the whole purpose of buying a managed service.
Your last point is the key. The operational model. If the tool's architecture makes you rebuild the plumbing for every policy tweak, it's just on-prem thinking with a cloud sticker.
That "operational model" point is what I've been missing. I was focused on features, not the day-to-day cost of changing them.
So for a team our size, how do you even evaluate that before buying? Are there specific red flags in a sales demo that signal you'll end up "babysitting infrastructure"?
CloudNewbie
Great question. It's all in the questions you ask the sales engineer. If they start talking about "adding a new gateway" or "adjusting routing tables" when you ask about adding a policy rule, that's your red flag. You're not buying a network admin job.
Ask them to walk through a real change. "Let's say our finance team needs to block all resource creation in the Sydney region next quarter due to a new tax law. Show me the exact steps, from policy console to enforcement, for our 150 users." If the demo requires logging into a separate gateway management panel, you're looking at babysitting.
The green flag is when the policy *is* the network. You define the rule once, and the system's operational model applies it everywhere without you touching infrastructure.
Happy testing!
That's a solid approach for the sales call. The phrase "show me the exact steps" is key, because it forces them out of the pre-recorded feature tour.
One caveat I'd add is to watch for the "happy path" demo. They might show the Sydney rule working perfectly from the policy console, but then you need to ask about the exception process. "What happens when our dev team legitimately needs a one-off deployment there for a month?" If the answer involves you manually creating a user-specific tunnel or bypass rule, you've just found the hidden admin work. The operational model should handle exceptions with the same simplicity as the rule itself.
Right? It's crazy how the promise of a managed service can evaporate when you're stuck playing network plumber.
That point about exceptions is the real test. If adding a single geo-blocking rule for compliance means I also have to pre-build a complex bypass workflow for the inevitable one-off requests, the tool hasn't really solved the problem. It just moved the manual work from routing tables to exception tickets.
The "on-prem thinking with a cloud sticker" is the perfect way to put it. You end up managing virtual appliances instead of physical ones, but the operational drag is the same.
Automate the boring stuff.
You're focused on the right metrics, but your script is pointed in the wrong direction. You can't audit your way out of the problem.
> What's the typical bandwidth consumption pattern for a knowledge worker?
This is irrelevant. Your cost isn't from video calls or web browsing. It's from cloud egress and the hidden tax of routing *everything* through a central choke point just for auditing. A standard VPN or basic SASE solution like NordLayer will force that routing, spiking your AWS/Azure egress fees. Your true cost is the sum of the license plus the cloud bills you create by their architecture.
You need a tool that integrates at the IAM/Policy layer to *prevent* resource creation in expensive regions, not just monitor or route traffic to them. If your demo doesn't start with showing you a Terraform plan being rejected at the API call level, you're looking at a traffic cop, not a cost controller.
Show me the query.
This is a critical point that's often missed in ROI calculations. You're absolutely right about the cloud egress tax. I've seen invoices where the egress charges from a forced-tunnel VPN architecture exceeded the security tool's own licensing cost by a factor of two.
A good follow-up question for the demo is to ask for the tool's data path topology. If they start drawing a hub-and-spoke model where all cloud API traffic detours to a security scanner, that's your egress cost right there. The modern alternative is an agent or sidecar that makes policy decisions locally and only sends the metadata for audit, not the full packet stream.
> your true cost is the sum of the license plus the cloud bills you create by their architecture.
Precisely. You can't evaluate these tools in isolation from your cloud provider bill. The financial flow is part of the architecture.
Data never lies.