Hey everyone,
I've been deep-diving into securing our serverless functions (mostly Lambda) and Trend Micro Cloud One's Workload Security module keeps coming up. I'm curious about real-world experience beyond the datasheets.
We're currently using a mix of things, but I'm looking at consolidation and automation. Specifically for serverless:
* How's the runtime protection for Lambda functions in practice? Any noticeable cold-start impact?
* Does the integration feel native for a CI/CD pipeline (e.g., Terraform, CloudFormation, SAM)? I'm all about automating security policy deployment alongside the function code.
* I've seen the ROI analysis for VMs, but how do you quantify the value for ephemeral functions? Is it more about compliance coverage or actually blocking stuff?
I'm particularly interested in any workflow reports or gotchas you've hit. For instance, handling function layers, or scanning dependencies in the deployment package automatically.
Would love to hear your benchmarks, especially if you've compared it to other specialized serverless security tools.
Keep automating!
Keep automating!
We've been using Cloud One for our Lambda functions for about a year, focusing on the runtime protection. On your points:
Cold start impact is minimal in our testing, maybe 100-200ms on a 1GB function, mostly from the extension initialization. It's less than I feared. The bigger quirk was memory usage - the extension consumes some of your allocated memory, so you need to factor that in. We bumped our functions by 128MB and it was fine.
For CI/CD, their Terraform provider is decent. You can tag functions and auto-apply policies, which works well. The gotcha is policy scope - if you're managing hundreds of functions, you'll want a solid tagging strategy from day one. The scanning of deployment packages is more of a manual trigger in our workflow, not fully automated in the pipeline yet.
On value, for us it's been about blocking stuff, not just compliance. We had a function exploited via a vulnerable layer that got flagged for suspicious outbound calls. That alone justified it. But quantifying ROI is trickier than with VMs; you're paying for the coverage per function, so you need to be selective.
Have you looked at how it handles custom runtimes or container-based Lambdas? That's where we hit some configuration snags.
Latency is the enemy, but consistency is the goal.