|2 min read

Introducing CloudQuery Insights: Cloud Intelligence That Connects the Dots

TL;DR

CloudQuery Insights correlates security findings, cost data, policy violations, and audit events across your cloud inventory automatically - so you stop spending hours assembling context and start acting on it.

Your cloud inventory is expanding faster than teams can manage it, driven by rapid development and AI-enabled engineering practices.

Cloud teams face mounting pressure to maintain security, control expenses, and ensure compliance across growing infrastructure. The challenge: relevant data is fragmented. Security findings live in CSPMs managed by security staff, configuration details scatter across cloud provider dashboards and tools like AWS Config, and teams spend considerable effort navigating event logs, compliance platforms, and ticketing systems to answer basic questions.

What Is CloudQuery Insights?

CloudQuery Insights addresses this fragmentation by monitoring your complete asset inventory and automatically surfacing interconnected signals throughout your infrastructure. Security findings, cost information, policy breaches, and audit events get tracked and correlated simultaneously - without manual intervention.

Consider a practical scenario: an S3 bucket that’s publicly accessible, contains personally identifiable information flagged by Wiz, hasn’t been accessed in 47 days, and originated from a contractor account. Currently, discovering these interconnected facts requires logging into several platforms, manually cross-referencing information, and risking oversight. Insights consolidates this context automatically on a single resource view.

Why Did We Build This?

Teams had abundant data across multiple platforms - CSPM alerts, AWS Cost and Usage Reports, configuration data, Jira, GitHub, and ServiceNow - but lacked effective correlation mechanisms.

When infrastructure appears misconfigured, teams must investigate across multiple systems: security posture assessment, cost analysis, ownership verification, and historical event review. Individual investigations consume substantial person-hours; scaling across hundreds or thousands of flagged items forces teams toward unsustainable triage cycles or avoidance of findings due to excessive noise.

How Does Insights Change Day-to-Day Work?

Insights transforms daily workflows by prioritizing action over investigation:

  • Context that previously required hours to assemble becomes immediately available when reviewing a resource
  • Policy violations gain credibility when paired with cost metrics, ownership information, and historical data
  • Audit preparation becomes streamlined as interconnected data eliminates manual consolidation efforts
  • Incident response improves through visibility into related resources, creators, policy violations, and shared configuration patterns

What This Means for Cloud Teams

For leadership, CloudQuery addresses exponential infrastructure growth where unified asset visibility remains elusive. Point solutions offer partial pictures while missing critical context from complementary tools that could prevent incidents, vulnerabilities, or budget overruns.

For practitioners, CloudQuery operates on a fundamental principle: cloud teams shouldn’t need a dozen integrated tools to answer basic infrastructure questions. Insights advances this vision by reducing operational burden and fatigue, enabling focus on value-generating activities. The platform layers intelligence on top of existing data infrastructure, automatically highlighting significant items to minimize investigation time and maximize impact.

Joe Karlsson

Joe Karlsson

Developer Marketing Engineer at CData, leading developer growth for the managed MCP platform that connects AI agents to live enterprise data. Writing about databases, self-hosting, and the things I build. Runs a 60+ container Proxmox homelab with AI-powered automations.

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