Organizations that really want to save money in the cloud should take an analytics-based approach to understanding their data assets. This allows IT to make nuanced decisions on data storage and data management rather than jumping on the latest cloud pricing changes to move into a different platform or back in-house. Moving data every year or two from one platform or cloud service to another in a quest for the best deal is a wild goose chase that never delivers the desired results and consumes massive resources and time from overstretched IT teams.
Consider that you could achieve a better financial outcome iran whatsapp number data by keeping your data in the cloud where it already lives, while making changes to your storage configuration within that cloud. For instance, you could use data management to dynamically tier cold data to lower-cost storage tiers, such as from higher-cost AWS FSx to lower-cost AWS S3 Glacier.
Or perhaps you could assess your data assets and policies and delete cold or old data that you no longer need to reduce your overall data volume and, by extension, your storage costs. Before you move any data from on-premises to the cloud, be sure to understand what data is active or hot, what is warm, what is inactive or cold, and what requires extra security so that you are right-placing it in the appropriate cloud storage tier.