Kognita.Anonymized enterprise AI agent case study · DevOps and platform engineering
Infrastructure health, security, and cost investigation
DevOps teams used Kognita to connect Terraform, infrastructure signals, releases, security incidents, cloud cost movement, and VPN debugging in one investigation surface.
Terraform-aware
resource context
Release-linked
cost spike analysis
Security-aware
incident triage
The challenge
Infrastructure questions required jumping between Terraform, cloud consoles, release history, application behavior, and operational symptoms.
Cost spikes and performance regressions were difficult to connect back to recent application or platform changes.
Security and VPN issues needed fast triage with enough context to avoid brittle guesswork.
What Kognita ran
The agent used Terraform resources as a foundation for infrastructure reasoning.
It correlated health checks, performance signals, release timing, and cloud-cost data.
It supported security-incident discovery, mitigation analysis, and VPN integration debugging.
Business outcome
DevOps teams had a single investigation thread for infrastructure health and cost.
Cost optimization suggestions could be tied to release context rather than treated as isolated billing noise.
Security and VPN debugging gained system context without requiring a full manual reconstruction.
Evidence basis
Built from a real enterprise deployment, anonymized for confidentiality.
The deck names Terraform resources, security incident mitigation, health and performance routines, cloud cost analysis, release correlation, and VPN debugging as infrastructure use cases. Exact client names, market names, private system identifiers, internal ticket IDs, and sensitive implementation details have been removed.
Source reference: Slide 14 from the internal case-study deck.