The key feature that stands out is being able to track real users within our website. We can feed this back to the developers and project teams, shaping what we develop next. This allows us to be proactive.
The AI capabilities are very good. This allows us to automate what we call AIOps. Any incident or alert raised from Dynatrace automatically goes into our ITSM tool. This saves a lot of money, probably $30,000 to $40,000 a year.
We have the Kubernetes module enabled. We can track pods, namespaces, and the performance of them. Dynatrace's functionality in this area is very impressive. It allows us to see the pure topology of our infrastructure and how the microservices interact. It also gives us a one-stop shop for checking the health of Kubernetes.
We offer Dynatrace as a service. Anyone in the business can use it. So, management is pretty easy.
We use the Dynatrace AI to assess impact. Because it links to real users, it is generally pretty correct in terms of when it raises an incident. We determine the severity by how many users it is affecting, then we use it as business justification to put a priority on that alert.
We use the solution’s real user monitoring, Session Replay, and synthetic monitoring functionalities. We use synthetic monitoring for reporting to get a definitive answer if anything is up or down. We will use sessions to check the health of our website and measure user experience. We also use it for feedback on a release and how it is affecting our end users. We use Session Replay to investigate issues that our users are experiencing.