Companies migrate mainframes to Azure or AWS using strategies like rehosting (lift-and-shift with emulation), replatforming (to managed services), and refactoring (to microservices with AI-assisted code conversion), often partnering with specialists
Business teams use no-code platforms with drag-and-drop interfaces, pre-built templates, and visual workflows to create AI agents for tasks like customer support, data analysis, and automation, bypassing coding entirely. Top
Transitioning to data engineering requires mastering SQL, Python, ETL pipelines, cloud platforms, and orchestration tools through structured learning, hands-on projects, and certifications, typically achievable in 6-12 months for developers with
DevOps reduces deployment risks through automation, small frequent changes, and robust monitoring, while boosting velocity via CI/CD pipelines and DORA metrics like deployment frequency (elite teams deploy daily vs. monthly
