Question: Is there a network performance monitoring tool that uses machine learning to identify and troubleshoot issues quickly?

If you need a network performance monitoring tool that uses machine learning to spot problems and fix them, ExtraHop is a strong contender. This cloud-native cybersecurity platform uses AI to spot threats and respond to them immediately, combining network visibility with advanced decryption and protocol understanding to monitor and troubleshoot network and application problems. Its cloud-scale machine learning technology lets it respond rapidly and intelligently to network problems.

Another strong contender is Datadog, an all-in-one monitoring and security tool that offers real-time visibility into performance, security and user experience. Datadog offers a range of features including infrastructure monitoring, APM, synthetic monitoring and security monitoring that lets you quickly identify and optimize system performance. It's highly flexible and can integrate with a broad range of cloud companies and custom integrations.

LogicMonitor offers a hybrid observability platform with real-time insights and automation through an agentless architecture. Its features include full-stack monitoring of infrastructure, cloud and digital experiences, as well as AIOPS features for predicting and preventing IT problems. The platform is designed to scale and is secure, making it suitable for a variety of industries and companies.

Finally, Riverbed offers a unified observability platform that uses AI to automate remediation and gather real-time data from the full IT environment. Its NPM+ feature focuses on end-to-end network observability, and its AI is used to prevent, detect and resolve IT problems. The platform is geared for industries like digital banking, energy and healthcare.