are used to reliably and securely handle huge transaction volumes, analyze huge data sets, and support large workloads in cloud data centers.

Mainframes

Explanation:

Mainframes are typically identified by their big size, high reliability, and massive processing power. One mainframe can replace a lot of small servers (running to hundreds) and work efficiently. Mainframes emphasize throughput computing because they can manage many high volume input/output (I/O) and can run multiple instances of Operating Systems (OS) concurrently.

Mainframes are mostly used by large organizations that carry out activities that require a high volume of data processing. Some of these data can be transaction processing, enterprise resource analysis, customer and industry stats, census among others.

Due to their reliability and stability, mainframes can run for a long time without any form of interruption and are very useful in cloud data centers.

The answer is Mainframe Computers or the big Iron

Explanation:

When it comes to high-speed transaction processing, mainframes perform a lot better and faster.

It is preferable to use them to handle large volume of transactions because of time and cost-effectiveness.

Major service industries like banks still lean on mainframes for their core operations.

Therefore, Mainframe computers such as  IBM zSeries, System z9 and System z10 servers are used to reliably and securely handle huge transaction volumes, analyze huge data sets, and support large workloads in cloud data centers.