Is artificial intelligence (AI) the hero of complex and dynamic performance management issues that require constant monitoring? The popularity of advanced computing methods, such as the cloud, and the massive volume of users connecting to the network generates a staggering amount of data that’s overwhelming and impossible for IT departments to handle on their own. CIOs are looking at AI as the answer to the monitoring and analyzing of data.
Performance management, also known as performance monitoring, describes the tools and processes in place to analyze data from a network or application’s performance with the intention of discovering and troubleshooting problems. Examples of performance tools include application performance management (APM), network performance management (NPM), and unified performance management (UPM).
Dynatrace conducted a study in January 2018 which included interviews from 800 CIO’s on their opinion on digital performance management and artificial intelligence (AI). The study found some interesting revelations, mainly that CIOs are aiming to implement AI into their performance monitoring within the next year. Some other interesting facts from the study include, “29 percent of IT’s work time is spent with digital performance problems” and “81 percent of CIOs feel AI is critical to mastering increasing IT complexity.”
AI will enhance performance management tasks and processes. Review the benefits below of using AI in performance management.
AI Performance Management: Time Saver & Productivity Booster
Here are the ways that AI can save IT professionals’ time:
- AI can instantly analyze the nearly infinite permutations of interdependencies that exist between an organization’s physical and virtual infrastructure layers. This allows it to instantly trace the source of any performance degradations right back to the root cause, giving IT experts a solution for how to resolve the issue quickly before it impacts the end user, as explained from The Stack.
- AI can provide end-to-end visibility.
- AI can predict issues before they occur. For example, Instana’s APM tool currently uses AI in “the application of neural networks to predict and avoid service impact” within Amazon Web Services (AWS) environments.
- Combining AI with automation will lead to several resolutions, including AI troubleshooting instead of AI alerting the IT department of the issue. This boosts the IT department’s productivity as they will have more time to handle other IT issues. AI and automation, in conjunction, will also provide the “ability to handle modern development and deployment paradigms such as microservices and containers,” according to APM Digest. In particular, when it comes to fluid and scalable environments.