Cloud deployment is now a continuous process requiring speed, reliability, and scalability with structured checklists.
Automation and AI-driven platforms have streamlined deployment workflows from manual to intelligent processes.
Key steps include preparing applications, selecting the right deployment platform, automating workflows, setting up monitoring, ensuring security, planning for scalability, and post-deployment testing.
Trusted tools like GitHub, Docker, Kubernetes, and AWS are recommended for each stage to ensure efficient and reliable cloud deployments.