Alert fatigue is a well-known issue that impacts many enterprise information technology (IT) teams. Those teams are constantly looking for ways to reduce the mean time to identify (MTTI) and the mean time to resolve (MTTR) issues to minimize the impact to a business. When such a team is inundated with a very large number of alerts, they become desensitized to those alerts and metrics such as MTTI and MTTR increase. Such a desensitization has other negative repercussions that, together, impact a business and affect the adoption of a full-stack observability (FSO) approach. Techniques are presented herein that address these problems through a dynamic prioritization solution that allows for user inputs and past interactions, and which leverages large language models (LLMs).

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.