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By shifting to AWS, a corporation wishes to control the expenses associated with a set of twenty apps that are little utilized but remain mission-critical.
The apps are written in Java and Node.js and are distributed over many instance clusters. The organization wishes to reduce expenses while increasing standardization via the use of a single deployment approach. The majority of the programs are used as part of month-end processing procedures with a limited number of concurrent users, although they are also used at other times. The average program consumes less than 1 GB of memory, while some apps use up to 2.5 GB at peak activity. The group's most critical application is a Java-based billing report that often accesses several data sources and runs for many hours.
Which approach is the MOST cost-effective?By shifting to AWS, a corporation wishes to control the expenses associated with a set of twenty apps that are little utilized but remain mission-critical.
The apps are written in Java and Node.js and are distributed over many instance clusters. The organization wishes to reduce expenses while increasing standardization via the use of a single deployment approach. The majority of the programs are used as part of month-end processing procedures with a limited number of concurrent users, although they are also used at other times. The average program consumes less than 1 GB of memory, while some apps use up to 2.5 GB at peak activity. The group's most critical application is a Java-based billing report that often accesses several data sources and runs for many hours.
Which approach is the MOST cost-effective?