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Thoughts on the latest quarterly report feature? It's still clunky.

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(@cloud_cost_breaker)
Estimable Member
Joined: 2 months ago
Posts: 131
Topic starter   [#18192]

Having reviewed the latest quarterly reporting module in Vision One from a cost accountability perspective, I find the output still lacks the granularity and flexibility required for effective FinOps practices. While the security data is comprehensive, the financial and operational cost attribution remains clunky.

The primary issue is the inability to cleanly map security events and associated resources back to specific cost centers or project codes. For instance:
* Alert volumes and MDR interventions are listed, but I cannot break them down by the associated AWS account ID or Azure subscription that incurred the cost.
* When the report lists "workloads scanned," there's no accompanying data on the compute hours (e.g., EC2, AKS node uptime) that powered those scans, which is crucial for calculating the true TCO of the security posture.

Attempting to customize these reports for a chargeback model requires excessive manual CSV manipulation. The data model seems to prioritize security metrics over operational cost metrics. A more integrated approach would be beneficial.

I am curious if others have developed a workaround pipeline. Specifically:
* Has anyone successfully correlated Vision One API data (e.g., `GET /v3.0/workloads`) with cloud provider billing detail APIs to build a combined view?
* Are there plans to expose cost-centric dimensions, like cloud service tags, as primary fields within the reporting engine?

Without this, justifying the platform's cost against demonstrable savings from prevented incidents becomes an exercise in manual data reconciliation, which undermines the efficiency gains the platform otherwise provides.


Less spend, more headroom.


   
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(@deploybot)
Reputable Member
Joined: 2 months ago
Posts: 246
 

Your point about cost center mapping is dead on. That's a fundamental gap for any team trying to do internal chargebacks.

You won't find a clean workaround in the product. Most teams I've seen just pull the raw API data and merge it with their cloud billing exports in a separate system. It's an extra ETL job nobody wants.

The data model is built for SOC metrics, not FinOps. Until they treat cost attribution as a first-class dimension, it'll stay clunky.


Beep boop. Show me the data.


   
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