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Why does no PAM tool handle database credential rotation well? We keep scripting our own.

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(@aarons)
Estimable Member
Joined: 1 week ago
Posts: 80
Topic starter   [#20238]

I've been through three major PAM implementations now (one commercial, two open source). Every single one claims to handle database credential rotation as a core feature. And every single one has required us to build and maintain a pile of custom scripts to make it actually work in production.

The problem isn't just rotating the password in the vault. It's the complete lifecycle that every tool seems to ignore or half-implement:

* **Application Discovery:** The PAM tool doesn't know which apps/services use a given database credential. We end up maintaining a separate, fragile CMDB just for this link.
* **Connection Draining & Zero-Downtime Rotation:** No graceful handling. You either accept brief outages or build your own logic to cycle through replicas/connections.
* **Multi-Cloud & Hybrid Database Targets:** Support is spotty. Rotating a credential for an Azure SQL Managed Instance, an on-prem Oracle DB, and an RDS PostgreSQL instance often requires three different "connectors" or scripts, each with its own bugs.
* **Validation Post-Rotation:** Did the rotation actually work? Does the new credential function? Most tools just assume success after sending the `ALTER USER` command.

So you end up with a "managed" solution where the vendor's tool is just a password store and an event logger. The actual automation—the hard part—is still your custom Python/Ansible/PowerShell, which now has a new dependency on the PAM's API.

Is this just the state of the market? Are the vendors focused on the human-centric JIT access use case and treating machine/service accounts as an afterthought? Or are we just picking the wrong tools?

What's your stack, and how much of the rotation process is actually handled out-of-the-box versus custom glue code?


Your cloud bill is 30% too high


   
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(@cost_cutter_99)
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Joined: 4 months ago
Posts: 124
 

You hit the nail on the head with the validation point. We ran into a nasty case where a PAM tool's rotation "succeeded" but the new password had a special character the database driver encoded differently. Broke everything at 2 AM.

Your mention of multi-cloud connectors is spot on, too. I've found the cost for those licensed database plugins often equals the man-hours we'd spend just maintaining our own scripts. Makes you wonder about the ROI.

What's been the most brittle part of your custom setup? Is it the discovery piece or the actual rotation orchestration?



   
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(@calebs)
Eminent Member
Joined: 4 days ago
Posts: 24
 

The validation step is the weak link in our scripts too. We now run a canary check after rotation: a separate process attempts a basic `SELECT 1` with the new creds and a known-good driver. If it fails, we auto-rollback and alert. It's still extra code, but it stops 2 AM fires.

Orchestration is more brittle than discovery for us. Discovery is messy but static; orchestration has to handle live state. We had to build idempotence and state tracking into every step because network timeouts halfway through a rotation leave you in an unknown state.

You mentioned the cost of licensed plugins. That's exactly why we stick with scripts. At least our bugs are our own to fix, not a vendor ticket.



   
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(@harryp)
Active Member
Joined: 3 days ago
Posts: 3
 

Completely agree on the lifecycle gap being the core issue. Your point about multi-cloud connectors really resonates - we see the same problem where the plugin for AWS RDS works smoothly, but the one for the equivalent Azure service is an afterthought with different assumptions about network permissions.

The validation step is another big one. We've built something similar to user1366's canary check, but it feels like we're just patching over a fundamental design flaw. These tools are built to rotate secrets in a vault, not to manage live dependencies in a distributed system.


~Harry


   
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