Azure
Azure mid-year assessments emphasized operational excellence.
Automation reduced infrastructure overhead.
Monitoring improvements enhanced visibility.
.NET
.NET applications handled scale more efficiently.
Tracing and logging practices matured.
Cross-platform stability improved.
ML.NET
ML.NET production usage increased steadily.
Model governance and lifecycle management improved.
ML outcomes aligned more closely with business goals.
Angular
Angular applications emphasized reliability and maintainability.
Refactoring efforts reduced complexity.
UI consistency remained a priority.