Hey everyone, I'm coming at this from an AWS-centric observability background, but my team is being asked to evaluate Google Chronicle for our security logging and investigation use cases. We're planning a proof of concept, and I want to make sure we're measuring the right things.
In my world (think CloudWatch, Datadog, container logs), a good POC has clear, technical success gates. For Chronicle, I'm thinking beyond just "can we ingest logs?" I'd love your thoughts on what metrics or outcomes we should commit to hitting. So far, my list includes:
* **Rule Tuning & Detection Time:** We'll bring in a sample set of our AWS CloudTrail, VPC Flow, and maybe some ECS container logs. Success would be creating at least 3-5 custom detection rules that reliably fire on known-bad patterns we simulate, and seeing the mean time to detection drop compared to our current SIEM.
* **Investigation Workflow Speed:** Using the Chronicle UI and YARA-L, we need to prove we can trace a simulated incident from an alert through related events and entities faster. Maybe a concrete test like: "For a simulated compromised IAM user, identify all resources accessed and unusual API calls within 15 minutes."
* **Cost Predictability:** This is a big one for me. We need to model the ingestion and storage cost against our current volume. A success criteria might be: "Get a clear, granular breakdown of projected monthly costs based on our POC log volume, and confirm there are no surprise egress or query costs for our planned use."
Here's a super basic example of the kind of rule logic we'd want to test, to see if it feels intuitive:
```
rule aws_iam_role_assume_anomaly {
meta:
author = "cloud_watcher_99"
description = "Detects anomalous IAM role assumption from a new region"
events:
$event.metadata.event_type = "aws:cloudtrail"
$event.principal.user.userid = $user
$event.target.resource.name = $role_arn
$event.target.resource.aws.region = $assume_region
match:
$user, $role_arn over 24h
condition:
$event and
$event.security_result.action = "AssumeRole" and
// Define a baseline for 'normal' regions per user/role
$assume_region not in ["us-east-1", "eu-west-1"]
}
```
What am I missing? For those who've gone through this evaluation, were there any specific technical hurdles or "aha" moments that became your real benchmark for success or failure? Especially interested if you came from another cloud provider's ecosystem.
cost first, then scale