We use Dynatrace AI-powered anomaly detection. In the future, it works at 10% accuracy regarding false positives, which is something that I would like to see improved in Dynatrace. The AI functions in Dynatrace could be improved or enhanced in the future.

Dynatrace's AI-driven Davis engine absolutely helps identify performance issues by showing root cause analysis for us up to 200%; whatever is integrated, if it is visible, it can stitch and show.

The AI integration allows us to outperform the issues, reduce the downtime, and timely resolve the issues. Their AI integration is exceptional and gives Dynatrace a better capability compared to competitors. Davis AI and the built-in dashboards have made a difference for our team because whenever we were stuck on any level issue or metrics and wanted to dig into some logs and metrics to identify where exactly it was going wrong on our application side, the AI helped us to narrow down where exactly it was going wrong.

Problem detection has improved very positively, and the quality of monitoring has improved with the help of Dynatrace. We are saving time, saving workforce, and visibility has increased. Both technical and non-technical teams have greater visibility into how the application is performing.

I use Dynatrace OneAgent on EC2 and ECS to monitor the infrastructure, containers, and application performance, providing automatic service discovery, real-time metrics, distributed tracing, and AI-based root cause analysis.

The best features Dynatrace offers include AI-based metrics collection, which impresses me a lot because it is very helpful to quickly check all the issues that come up. The first thing is end-to-end visibility across all the services. That is one thing where we can know the infrastructures, hosts, containers, VMs, and what is happening with the application. Then this automatic discovery and mapping helps a lot. Distributed tracing, which is the PurePath thing, is a very helpful feature. For root cause analysis, the recent Davis AI is something game-changing and is helping a lot, saving a lot of time. That is the main feature right now. The remaining things are the foundational features and making access to all the features so quick. Davis AI makes use of the features that exist, and now I am using those features. So that is a good thing.

We use Dynatrace for monitoring the infrastructure, cloud platforms, and application performance to reduce major outages and intelligently combine metrics, logs, and traces into a single view. We use Dynatrace's OneAgent to automatically discover and instrument our entire stack from the front-end user interaction to the back-end database. During high traffic events, we monitor real-time response and use this AI to automatically pinpoint the root cause of any slowdowns before they impact the customers.

The best features that Dynatrace offers include the AI-powered root cause analysis with Davis AI, which automatically identifies root causes by correlating metrics, logs, and traces, saving substantial time during incident resolution.