How AI Enhances Tools for Performance Management

Is artificial intelligence (AI) the answer to dynamic, complicated performance management problems that need for continual observation?
IT departments are faced with an enormous amount of data that is beyond manageable due to the widespread usage of advanced computing techniques like the cloud and the large number of users connecting to the network. CIOs see artificial intelligence (AI) as the solution to data monitoring and analysis.

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:

The virtually unlimited combinations of interdependencies between the physical and virtual infrastructure layers of an organization may be instantaneously analyzed by AI.

• AI can provide end-to-end visibility, enabling it to instantaneously identify the source of any performance degradations directly down to the core cause, providing IT specialists with a solution for how to remedy the issue swiftly before it impacts the end user.

• AI is able to foresee problems before they arise. For instance, Instana’s APM solution presently applies AI to Amazon Web Services (AWS) environments through “the application of neural networks to predict and avoid service impact.”

• Automation and AI together will result in a number of fixes, such as

. According to APM Digest, the combination of AI and automation will also enable “the ability to handle modern development and deployment paradigms such as microservices and containers.” especially in environments that are scalable and flexible.