We are continuously hearing about artificial intelligence and machine learning being applied to different fields. IT Ops teams have been building incredibly sophisticated Big Data and Artificial Intelligence systems for business stakeholders, but have found themselves using rudimentary reactive monitoring systems and manual steps to help run the infrastructure required to keep those cutting edge systems up and running.
We are finally seeing a growing number of pioneering IT Ops teams applying these principles, and are helping them to leverage their team members into more valuable activities, whilst at the same time they ensure everything is still under control in a more proactive and controlled way.
AIOps is not just an option anymore but a necessity for businesses with dynamic and complex IT environments. With the rise of cloud, distributed architectures, containers, and microservices, a rise in data overload is visible. With growing amounts of DevOps processes; alerts, repeated mundane jobs etc. are bound to induce fatigue into your work. It’s only a matter of time when you’ll need AIOps.