AIOps or Algorithmic IT Operations, is a solution that uses smart algorithms (powered by AI and ML) in which machines solve known IT issues and intelligently automate repetitive and mundane jobs — Gartner
AIOps platforms encompass the IT disciplines of Performance Management, Service Management, Automation, and Process Improvement, along with technologies such as monitoring, service desk, capacity management, cloud computing, SaaS, mobility, IoT and more.
 |
Visibility— Monitoring systems monitor everything going on currently in the environment and the predictive analytics systems monitors and based on past trends, it tries to forecast what is going to happen. It can predict if a negative trend or an incident is about to happen.
Prediction— Once the system has this ability, then it will be able to alert the operation team and also automatically assign appropriate pre-automated solution to solve the issues. As a result, the issues will be identified and addressed in advance before they occur.
Automation — Of-course, if there are no automated solutions in place, the operation team can automate the process using RPA’s (Robotic Process Automation tools). So that, when the next time, an accident happens, it will be resolved automatically.
This process obviously goes on circular basis, if we repeat it over a period of time, eventually we will get hand full of benefits in operations, on the following aspects as the end result.
This process obviously goes on circular basis, if we repeat it over a period of time, eventually we will get hand full of benefits in operations, on the following aspects as the end result.
- Reduced MTTD and Faster MTTR
- Greater Visibility
- Real-Time Analysis
- Data-Driven Recommendations
--The Future--
AIOps is a rapidly developing area. Current AIOps systems struggle to understand the relationships between applications, infrastructure, and other datasets. Looking to the future by applying AI to IT operations, IT issues become easier to identify, predict, prevent, and even fix.
