Azure
Azure data platforms supported more advanced analytics workloads.
Event-driven designs gained popularity.
Cost-aware architecture decisions improved efficiency.
.NET
.NET cloud deployments aligned tightly with DevOps pipelines.
Containerized workloads became standard.
Code simplification reduced long-term maintenance.
ML.NET
ML.NET pipelines became easier to automate and monitor.
Model retraining cycles improved prediction accuracy.
Teams focused on measurable business outcomes.
Angular
Angular build optimizations reduced deployment times.
Modular UI design patterns gained traction.
Developer experience steadily improved.