Use AIOps for a Data-Driven Approach
If you're like most organizations, you probably rely on 10 - 50 disparate monitoring tools, including various APM, NPM, ITIM and other tools.
This creates a highly fragmented view into the health and performance of your critical infrastructure, applications and services, negatively impacting key IT Ops KPIs such as MTTD and MTTR.
In a recent research paper, Use AIOps for a Data-Driven Approach to Improve Insights From IT Operations Monitoring Tools (Nov 2018), Gartner recommends using AIOps (IT Ops tools powered by Artificial Intelligence and Machine Learning) to overcome these challenges. Download this paper now to understand:
- Why you need AIOps to reduce the noise from your monitoring tools
- How AIOps can provide an aggregated, correlated view across your tools
- How AIOps can improve collaboration leading to faster problem identification and resolution
Gartner, Use AIOps for a Data-Driven Approach to Improve Insights From IT Operations Monitoring Tools, Padraig Byrne, Pankaj Prasad, 19 November 2018