CloudGoHow CloudGo.ai Revealed Hidden Security, Cost, and Architecture Risks in a Production IoT Platform
Company Profile
Berner International is an industrial manufacturer running a connected IoT platform on AWS. Their system supports device fleets in real-world environments using serverless APIs, Lambda-based processing, and DynamoDB.
As the platform scaled, the infrastructure behind it became harder to reason about.
The Situation
The system was stable and supporting production workloads, but complexity had quietly built up over time.
Security policies were spread across devices and APIs. Some serverless components hadn’t been upgraded. Cloud costs didn’t clearly map to expected usage.
The team had dashboards, alerts, and cost tools, but not a perfectly clear picture of how everything worked together.
What CloudGo.ai Did
CloudGo.ai connected to the environment in a secure, read-only way and analyzed the system as a whole.
Instead of looking at services in isolation, it mapped how infrastructure components interacted across device authentication, APIs, serverless dependencies, and cost-driving usage patterns.
Outcome
Within days, the team had a clear plan: tighten security controls, modernize a small set of shared components, and introduce lightweight governance to control costs and prevent drift. These changes could be rolled out incrementally without disrupting production systems.
Most tools show what is happening within individual services. CloudGo.ai shows how the system behaves as a whole, connecting security, cost, and architecture into a single picture.
This is a condensed overview. Download the full case study to see the complete analysis and remediation roadmap.
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