Summary
After a short introduction to AI and ML, this chapter discussed how these technologies will help in making better software and more reliable systems. AI enables the shift-left movement: shifting things that were typically done in a later stage to the beginning of the development and deployment cycle. With AI, it's possible to detect issues in a very early stage and by means of automation, AI will also be able to trigger correcting actions.
Since AI and ML are learning systems, they will learn how to predict and possibly prevent issues from happening. For this, AI needs real-time data coming from source systems, hence the first step is to get a total overview of all assets in our IT environments and make sure that these systems are monitored, providing real-time logs. We learned how to create this full visibility using five layers.
In the last section, we discussed KPIs used to measure the outcomes of AI-driven systems. Although AIOps is still relatively new, the...