What is AIOps?
What can a few minutes of unplanned downtime cost a business? Loss of revenue? A damaged brand? Regulatory action? Or maybe all of it? Yes, probably it can cost a business all of the above. So, let us talk about how Artificial intelligent for operations, also known as AIOps can help them prevent this.
Before we go into the definition of AIOps, let us consider a scenario. Imagine you are an IT operations professional at a successful FMCG company that sells deodorants. At this company, you support a portfolio of applications, one of which is an invoicing application used by tens of thousands of partners every day.
For this specific application, your focus is to make sure it’s up and partners can deliver invoices consistently using it on a regular basis. One day you settle into your desk, you get a cup of coffee and you get a phone call. Out of nowhere, a sales representative is calling you to complain a partner is not able to upload an invoice because the application is down. What would you do in that scenario to get this application back up and running?
Now, before we continue down that scenario. Let’s talk about AIOps and its textbook definition. AIOps is about the application of artificial intelligence, machine learning models and advanced analytics to IT operational data. The objective is to empower IT professionals and operations professionals with data they need to make decisions and ultimately revolve and restore service to an application faster. So, with that definition in mind, let’s talk about how we can get this invoice application back up and running.