Three Reasons Why the Cloud Did Not, and Will Not, Kill the Mainframe
References for this video:
https://www.informationweek.com/it-infrastructure/will-edge-computing-kill-the-cloud-
https://www.infoworld.com/article/3712962/mainframes-are-dead-long-live-cloud-computing.html
https://www.itpro.com/cloud/cloud-computing/cloud-computing-or-mainframe-why-the-pendulum-might-be-swinging-back-in-the-age-of-hybrid-strategies-and-generative-ai
My InfoWorld Blog: https://www.infoworld.com/author/David-Linthicum/
Follow me on LinkedIn: https://www.linkedin.com/in/davidlinthicum/
Follow me in X/Twitter: https://twitter.com/davidlinthicum
My LinkedIn learning courses: https://www.linkedin.com/learning/instructors/david-linthicum
My latest book: https://www.amazon.com/Insiders-Guide-Cloud-Computing/dp/0137935692/ref=sr_1_1?crid=3OGP6IPZ7XHKA&keywords=David+Linthicum&qid=1704395835&sprefix=david+linthicum%2Caps%2C165&sr=8-1
Reasons:
1. Nothing works to the extreme.
a. PCs in 1986
b. Cloud in 2012
c. Edge in 2021
2. Many mainframe applications need to be more economically viable to move to the cloud. Cost Considerations: In some cases, the long-term costs of running specific workloads on mainframes can be more favorable compared to the ongoing expenses of cloud computing, especially for predictable, steady workloads.
3. Performance and Scalability: Mainframes are designed to handle high-volume transaction processing and have demonstrated reliability and scalability over the years. For certain workloads, mainframes can outperform cloud-based solutions, particularly for tasks requiring intensive input/output operations.
4. Specialized Workloads: Mainframes excel in handling specialized workloads such as batch processing, transaction processing, and high-throughput data processing. While the cloud offers flexibility, mainframes remain highly optimized for these specific tasks.