Detect silent Spring Boot config drift via automated cross-profile diff

Detect silent Spring Boot config drift via automated cross-profile diff targets a $9.6B = 1.6M engineering teams x $6K ACV (annual tools & SRE processes for config + drift prevention) total addressable market with medium saturation and a year-over-year growth rate of 12% (DevOps/tooling market expansion; cloud-native adoption).

Key trends driving demand: GitOps & CI Integration -- teams are shifting to declarative, Git-driven deployment which allows automated drift checks to be enforced as part of pipelines.; Cloud-native proliferation -- more profiles, environments, and microservices increase config surface area and drift likelihood.; SRE/Platform Teams growth -- centralized platform teams are investing in tools that prevent production incidents originating from config mistakes.; LLMs for dev tooling -- AI models enable summarization and automated remediation suggestions for complex config diffs, lowering triage costs..