Azure
Azure data and analytics services gained adoption.
Event-driven architectures became more prevalent.
Cost-aware design decisions improved efficiency.
.NET
.NET cloud-native development aligned closely with DevOps pipelines.
Containerized deployments became common.
Codebase simplification reduced maintenance effort.
ML.NET
ML.NET pipelines became easier to automate.
Model retraining strategies improved accuracy.
Teams focused on monitoring ML outcomes.
Angular
Angular build optimizations reduced deployment times.
Modular design patterns gained traction.
Developer experience steadily improved.