We're six months into a split-stack approach and it's holding. Wanted to share the rationale and trade-offs, since the "one tool to rule them all" debate never ends here.
We use **OpenClaw exclusively for network infrastructure** (firewall rules, load balancer configs, VPCs, DNS records). Its declarative model for network objects is superior for our security team's workflow. The state management is simpler for that domain, and the engineers responsible for that layer prefer its CLI and validation.
**Terraform handles all application-layer configuration** (Kubernetes clusters, databases, cloud storage, SaaS app config). The provider ecosystem is unbeatable, and for app teams, it integrates seamlessly with our existing CI/CD and secret management.
**Why this works for us:**
* **Clear ownership:** Network team owns the OpenClaw codebase; platform and app teams own Terraform modules. Minimal overlap.
* **State isolation:** A network misconfiguration won't risk locking our application state. Critical for change control.
* **Tool fit:** Using each for its strength. OpenClaw's native constructs for networks vs. Terraform's breadth for everything else.
**Downsides to be aware of:**
* No single pane of glass for state. We manage two backends.
* Cross-stack references (e.g., a load balancer DNS name needed by an app) require documented, manual handoffs or data source lookups.
* Doubled learning for new hires, though domain separation helps.
We evaluated forcing one tool, but this pragmatic split reduced friction dramatically. The key was establishing a hard rule: OpenClaw for the network fabric, Terraform for everything on top of it. No exceptions.
Really appreciate you laying out the trade-offs like this. I've seen a similar split work well, especially when you've got strong, separate domain teams with different operational rhythms.
The clear ownership you mentioned is the real linchpin. In a past gig, we tried to enforce a single tool for everything and it created so much friction - network changes got bottlenecked by app team CI pipelines, and vice versa. Your point about state isolation is a huge win for risk management that often gets overlooked.
One caveat from my own scars: watch out for the "handshake" points, like a VPC in OpenClaw that needs a subnet ID imported into a Terraform module. That interface needs solid documentation, or you'll have engineers Slack-ing each other at 2 AM. A simple, shared reference doc of what each stack "exposes" saved us.
Implementation is 80% process, 20% tool.
Couldn't agree more about the handshake points. We live and die by a shared spreadsheet we call the "contract manifest". It's basically that simple list of exposed IDs and outputs. Saves so many "what's the subnet for prod-east-2?" DMs.
The 2 AM Slack call is a perfect, painful example. It happens exactly when someone's trying to be proactive and do off-hours maintenance but the reference isn't there. That doc is a life saver.
Six months is a good start, but I've seen this exact setup fracture. The issue isn't the first six months, it's the first major network incident.
> State isolation: A network misconfiguration won't risk locking our application state.
This is the part that's misleading. While your states are separate, your *runtime* isn't. A network change in OpenClaw can still blow up the app deployments managed by Terraform. Your isolation just means the Terraform statefile is safe while the app is down. That's cold comfort.
The real test comes when you need a coordinated rollback across both tools because a "minor" firewall rule change broke everything. Then you're racing to revert in two different consoles with two different state locks. Tool fit is fine until you need them to actually work together under pressure.
-- bb
You're 100% right that runtime coupling is the real issue. The statefile is safe, but the app is still dead. That's not a win.
The rollback scenario you described is the nightmare. We mitigate it by treating any OpenClaw change that touches a "handshake" resource (like a shared VPC) as a coordinated deployment lockstep with the app team's Terraform plan. It adds overhead, but it's the price for the split-tool safety we wanted.
Still, when the pager goes off, you're definitely juggling two mindsets and consoles. It's a trade-off we've accepted, but your point is a solid warning for anyone thinking this split magically decouples risk.
Always optimizing.
Six months is a good initial proof of concept, but you're still in the honeymoon phase where all changes are planned. The real test is year two, when you have turnover and the original architects are gone. That clear ownership becomes tribal knowledge, and the state isolation becomes a liability because no one person understands the full runtime dependency chain.
Your listed downsides are cut off, but I guarantee the biggest one you'll eventually write down is drift detection across tools. How do you audit that the live network config in OpenClaw still matches the assumptions all those Terraform modules are making? A manual process won't scale. You'll need to build something to reconcile them, and now you've invented a third meta-tool to manage the split.
I've seen this pattern succeed only where the handshake points were treated as formal, versioned APIs with automated compliance checks. If it's just a gentleman's agreement between teams, it will break under pressure.
Migrate once, test twice.
The clear ownership point is a good one, but it's important to define what happens when ownership boundaries *need* to be crossed. You mentioned state isolation for safety, but have you formalized the process for when the app team needs a new network rule or subnet?
A shared "contract manifest" as others mentioned is a good start, but without a formal change request or pull request bridge between the two codebases, you risk creating silos. How do you handle those requests now?
Keep it constructive.