AI for cloudops is a new cloud monitoring and cloud management tool that will enable users to have a 24/7/365 monitoring and management program. The systems based on AI do come with many pros in terms of cost, availability, self-learning etc. once the initial license fees and infrastructure cost is met. The biggest advantage of using an AI-based program is it gets smarter every day by experience. So whether you like it or not, new cloud monitoring and cloud management tools are becoming much more effective thanks to the pace of innovation.
The idea is to replace people with AI to be both proactive and reactive to cloud operational issues such as outages, resource governance, security attacks, and performance.
Pros:
1. Operational Cost: AI-based monitoring and management systems never sleep, never take time off, and never ask for a raise. Once they are up and running, they cost almost nothing beyond their license fees and infrastructure costs.
2. Self-learning: These systems get smarter every day and share a common brain. People get smarter with experience as well, but they don’t do a good job sharing their experiences with others. People also retire and quit, with the knowledge and experience walking out the door with them.
Cons:
1. License and Consulting services: AI and operational tools are going to charge a premium to get them up and running and in production. While the prices are all over the place, count on paying 50 percent more than for traditional tools, including consulting services for the first year or so to get the tools learning correctly.
2. Trust on AI-enabled operations: Operations people don’t seem to like them no matter how well they perform. The number of passive-aggressive actions that I’ve seen over the years from people pushing back on AI-enabled operations tools has been huge.
Over time and innovation pros will get better, and the cons will begin to diminish, like any other rollout of new technology.
