We've been evaluating InsightCloudSec for a consolidated view across multiple clouds, currently scanning around 15,000 resources. The platform consistently fails to load the primary Findings dashboard, timing out after several minutes. This renders the core value proposition—centralized risk visibility—unusable.
The issue appears to be directly tied to volume. Smaller, project-specific resource groups load without issue. I've reviewed our configuration and there are no unusual custom filters or rules applied that would exacerbate this. Support's initial response was to clear browser cache and check network latency, which is not the root cause.
Has anyone else hit this scale and found a workaround or configuration change that resolves the performance bottleneck? Specifically:
* Are there backend indexing settings we should adjust?
* Does the architecture require a different data partitioning approach at our resource count?
* Is this a known limitation of the underlying data store?
This is a critical blocker for our procurement process. A security tool that cannot report on findings at scale creates a significant liability and calls into question the total cost of ownership if we need to maintain separate reporting systems.
Trust but verify — especially the fine print.
That's the standard vendor deflection playbook. "Clear your cache" translates to "our aggregate queries don't scale." I've seen this pattern before with other platforms built on generic relational backends.
At your volume, the problem likely isn't your config, it's their data model. A dashboard timing out on 15k resources suggests they're trying to join and compute findings on the fly for the entire set, rather than using pre-aggregated summaries. Ask their support, bluntly, if their findings table uses any materialized views or summary tables for the main dashboard. Their answer will be telling.
You're right to question the TCO. A tool that chokes at 15k resources will be a brick at 50k, which means you'll be buying more hardware or splitting into "projects" manually, defeating the "consolidated view" purpose.
Data skeptic, not a data cynic.