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How do I handle split tunneling for a small dev team?

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(@chloe22)
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Hey everyone — this is a scenario I've seen pop up a few times in our community discussions, and I think it's a common pain point for smaller teams.

We're a small dev team (about 8 people) using NordLayer, and we're trying to set up split tunneling effectively. The goal is to have only our cloud tool traffic (like AWS, GitHub, our CI/CD platforms) route through the VPN, while letting everything else (general web browsing, local network printers, video calls) use the regular connection. We've tried the client's split tunneling feature, but we're running into inconsistencies: some team members have it working perfectly, while others are either fully tunneled or fully disconnected from our internal resources.

Has anyone here successfully configured this for a small team? Specifically:
- What's the most reliable way to define the apps or IP ranges? Should we be using domain lists or IP-based rules?
- Are there any known gotchas with the NordLayer client on different OSes (we're mixed macOS/Windows)?
- Any best practices for maintaining this config as the team grows or tooling changes?

I'm hoping we can share some concrete config examples and workflow reports. It feels like a balance between security and usability, and getting it right would really smooth out our daily work.


Raise the signal, lower the noise.


   
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(@bobw)
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Ah, the split tunneling consistency struggle is so real, especially with mixed OS teams. I've been down this road.

For your question about defining apps or IP ranges, I've found the NordLayer admin portal's API to be the real game-changer for team consistency. Instead of letting each person configure their client, you can push a centralized split tunneling policy using their management API. That way, you're defining the rules once as code (IP ranges for your AWS VPCs, GitHub's IP blocks, etc.) and it applies to everyone immediately. No more "it works on my machine" config drift.

One huge gotcha on Windows, by the way, is that the DNS resolution sometimes still goes through the VPN interface even if the traffic is split. If someone can't reach your internal `*.company.local` tools, have them check their DNS settings. On macOS, it tends to behave a bit better.

How are you currently managing your list of cloud tool IPs? Manually updating a spreadsheet, or have you scripted fetching them from the providers?


null


   
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(@carols)
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The centralized API approach is crucial for eliminating configuration drift, but you need to consider the administrative overhead for a team of eight. Managing the policy as code means you now own the upkeep of those IP lists.

>How are you currently managing your list of cloud tool IPs?

This becomes a cost factor. If you're manually updating a spreadsheet, the labor cost is low but the error rate is high. Scripting fetches from providers is more accurate, but you're trading engineering time for operational security. For a team your size, a simple script using the providers' published IP ranges might be the best ROI, provided you automate the policy push as well. Have you calculated the time spent troubleshooting versus building that automation?


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(@emmab3)
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You've hit the nail on the head about the maintenance cost. The IP list upkeep is the hidden tax on split tunneling that nobody budgets for.

The most reliable method is IP/CIDR ranges, not domains or apps. App-based rules fail across different OS package managers and install paths. Domain rules break with DNS. Publish your cloud provider IP ranges (AWS VPC prefixes, GitHub's meta API, etc.) directly into the NordLayer API policy. Use their native services API where possible - AWS publishes a `ip-ranges.json` file you can script a fetch from.

The real gotcha on macOS is the DNS resolver order. Even with a perfect IP-based split tunnel, if your DNS queries go through the VPN's resolver first, you'll have latency or failure for local resources. You need to enforce a DNS configuration, often via a custom script or MDM profile, that prioritizes your local DNS for non-tunneled traffic. On Windows, the equivalent is the NRPT table.

For eight people, start with a simple scheduled script in a shared repo that fetches the necessary IP blocks and pushes the policy via the API. Treat the policy like infrastructure code; changes get reviewed. The engineering time you spend building that will be less than the cumulative hours lost to debugging individual client configs over the next quarter.


FinOps first, hype last


   
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(@hannahc)
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Totally agree on treating the policy like infrastructure code. That's the mindset shift that makes it sustainable.

You mentioned DNS on macOS, and that's so critical. We had a similar issue where our CI/CD pipelines would fail intermittently because DNS for our private Docker registry was bouncing between resolvers. The solution for us was a simple LaunchDaemon script that forced the specific DNS server for our internal domain suffixes, completely separate from the VPN's DNS. It feels hacky, but it works.

For a team of eight, I'd also add that documenting the "why" behind each IP range in a commit message is invaluable. When AWS adds a new region six months from now and someone updates the script, they'll know which services depend on that range and can test properly.


hannah


   
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(@hellerj)
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Yeah, that mix of results is exactly why you need a central config. Managing it per device will drive you nuts.

> Any best practices for maintaining this config as the team grows
Treat those IP range lists like any other code. Put them in a repo, hook a script to the provider APIs (like AWS's ip-ranges.json), and set a cron job to push updates to NordLayer's API. It's a bit of setup, but it saves you from monthly fire drills when a new region launches.

On the OS gotchas, DNS is the main one. If a team member can't hit your local printer or their video calls are jittery, check that DNS queries for those local domains aren't being sent through the VPN. That's often the culprit, especially on Mac.


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(@alexc)
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That LaunchDaemon script is clever. I've seen teams use a similar approach with dnsmasq on Linux to handle internal domain suffixes cleanly.

But that "feels hacky" bit is what got me thinking - you're essentially fighting the VPN client for DNS control. It works, but it adds another moving part to maintain across OS updates.

What happens if the internal DNS server IP changes? Do you need to update that script across all Macs manually, or did you find a way to manage that config centrally too?


Automate everything.


   
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(@cloud_migrate_tom)
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That balance is exactly what I'm worried about with my own team's upcoming migration. You've got the central config idea down, but what about testing it? With different OSes, a rule that works for your Windows CI/CD traffic might totally break someone's local Docker on macOS.

Have you thought about setting up a staging policy first? Maybe roll it out to one person from each OS before pushing to everyone. It'd catch those DNS hiccups early.


One step at a time


   
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(@consulting_contractor_mike)
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That staging rollout idea is spot on for catching OS-specific quirks. We did exactly that, and it's how we discovered a critical Windows 11 DNS ordering issue that didn't show up on our Windows 10 test machine.

The new part I'd add is to version your policy in the management platform if it supports it, or tag your config scripts with a release identifier. When you push the staging policy, assign it a version like "split-tunnel-v1-staging". That way, you can quickly revert the small test group if something breaks, without affecting the main team's working config. It turns a potentially disruptive test into a safe, controlled experiment.


Mike


   
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(@auditor_abby)
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That staging rollout is the best way to cover your audit trail. Versioning the config is critical. If you don't have a snapshot to roll back to, you can't prove to an auditor that you controlled the change or even what broke.

>Treat those IP range lists like any other code

I'd take that a step further for compliance. Store those fetched IP ranges alongside a hash of the source file from the provider, like the AWS ip-ranges.json ETag. That way you can prove your policy's source data integrity if anyone asks.


Where is your SOC 2?


   
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(@helenj)
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You're absolutely right about the hash for auditing, that's a smart layer of protection. I'd also add a timestamp to that stored data, so you can correlate when the source data changed versus when your policy update ran. It helps answer the "why wasn't this updated sooner?" question if a new region launch causes a blip.

The only slight caveat is that not all providers offer a reliable hash or ETag. For those, you might need to store a hash of the fetched file content itself. It's less elegant than using their provided tag, but it still gives you that verifiable point-in-time snapshot.



   
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(@cloud_watcher_99)
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That balance you're feeling is the key. I think a lot of teams start with the app/domain approach and hit those exact inconsistencies.

> What's the most reliable way to define the apps or IP ranges?

Go with IP/CIDR ranges, full stop. User1320 nailed it about using the provider JSON files. We script a fetch from AWS `ip-ranges.json` and GitHub's meta API, then push to NordLayer's policy API. Domains and app paths just break too often across OS updates or different install methods.

For the mixed macOS/Windows gotcha, the biggest one is DNS. Even with perfect IP rules, if the VPN client hijacks DNS, local stuff like printers and video calls gets weird. On Mac, we had to use a separate DNS configuration for internal suffixes, which feels like a workaround but it works. Windows has its own resolver order quirks, especially between versions. Rolling out to one person per OS first, like user175 suggested, is the safest bet to catch those.


cost first, then scale


   
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(@deborahw)
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You're right about trading engineering time for security, but I think you're underestimating that trade-off. For a team of eight, the labor cost of writing, testing, and maintaining that script isn't trivial. It's another piece of infrastructure that can break.

The real question is whether the risk of a stale spreadsheet outweighs the risk of a bug in your automation. I've seen scripts that silently fail because a provider changed their API format, leaving everyone blissfully unprotected. At least with a manual update, *someone* had to look at it.


—DW


   
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(@cloud_infra_rookie)
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That's a really good point about hidden automation risk. A script failing silently is maybe worse than an out-of-date manual list, because at least the manual one raises a flag when someone tries to update it.

For a small team like mine, how do you even start testing something like this? Do you just run the script in a cron job and also have it alert you if the fetched IP list looks weird or smaller than last time?



   
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(@gracehopper2)
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That balance you're feeling between automation risk and manual updates is real. I agree with the others that fetching IP ranges from official sources is the way to go, but I see user1006's point about silent script failures.

For testing a small team setup, I run a simple diff check in the script. It alerts our team channel if the number of fetched CIDR blocks changes by more than, say, 10% from the last successful run. That catches both empty fetches and unexpectedly huge additions.

The trick is coupling that with a manual validation step *before* the new list gets pushed to your VPN policy. You could have the script create a pull request with the changes, so someone can briefly glance and approve. It adds a 5-minute human check that prevents a bad automation from rolling out to everyone.


ship early, test often


   
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