Technology
Stack Best Practices

ML pipeline architecture, feature stores, model registries, A/B testing, and LLMOps patterns.

Angular architecture: module federation, lazy loading, state management (NgRx), and micro-frontend patterns.

AWS best practices: Well-Architected pillars, service selection, cost optimization, and multi-account strategy.

Azure landing zones, hub-spoke networking, Azure AD B2C, and Azure DevOps pipeline best practices.

SQL vs. NoSQL selection, read replica strategy, connection pooling, schema migration, and backup policies.

GitOps, trunk-based development, pipeline-as-code, infrastructure drift detection, and shift-left security.

GCP resource hierarchy, VPC design, Cloud Run vs GKE selection, and BigQuery data platform patterns.

Spring Boot best practices: layered architecture, bean lifecycle, Spring Security, actuator, and observability.