AIOps(Artificial Intelligence Operations)

AIOps was initiated by Gartner in 2016. It supports DevOps, DataOps, MLOps, DLOps and ITOps together.

AIOps came to surface after the inception of Big Data era where huge data started to flow in, where DevOps, DataOps, MLOps, DLOps rather every kind of operational tasks had tripled. And as we know everyone has recently realized the importance of Data so now everyone wants to progress in data ignoring the fact that automation requires processes and governance etc. That is why AIOps came into picture where everything is handled by the system itself.

AIOps is about assisting DevOps, DataOps, MLOps and ITOps etc., to work seamlessly. AIOps uses algorithms to make things happen like preventing outages, maintaining uptime and assure continuous services. Unlike DevOps, MLOps and ITOps where human interactions are still required, here AIOps makes sure everything runs on its own.

As mentioned, AIOps handles end to end operations on it owns, below are few stages.

1. First it collects data.
2. Removes duplications
3. Relate data with events in the cycle of operations
4. Enrichment the process
5. Minimize issues.
6. Detect issues.
7. Observe issues.
8. Predict issue.
9. Self-learn and restart all the stages again.