Which of the following is a good habit for cloud native cost efficiency?

Automated cost optimization, combined with clear visibility into spending and proactive forecasting, allows organizations to dynamically adjust resources, identify inefficiencies, and prevent overspending in rapidly changing cloud-native environments.

Manual processes for cost analysis are inefficient, prone to human error, and struggle to keep up with the dynamic nature of cloud-native infrastructure, leading to missed optimization opportunities.

While using one cloud provider might simplify some aspects, it does not inherently guarantee cost efficiency and limits the ability to leverage competitive pricing or specialized services from multiple providers.

Keeping legacy workloads unchanged often results in higher operational costs as they may not be optimized for cloud environments, missing out on potential savings through modernization and cloud-native practices.