Real success story: better solutions more quickly with AI
Real success story: better solutions more quickly with AI
06 Dec 2018
To find out how clients are getting on with Dynatrace and what problems they are encountering, a smart and modern monitoring tool is used. AI saves Dynatrace an enormous amount of time and resources, and it also helps to make applications more efficient on a continuous basis. In this interview, Anna Buchwinkler (Team Leader Smart Dealership & Solutions) and Alexander Kaml (Product Manager Dynatrace) tell us exactly how this works.
What is Dynatrace?
Alexander: Dynatrace is an application – or a performance management tool, to be precise. It is just about the only full-stack solution on the market, i.e. the product monitors the entire infrastructure, including the applications. Monitoring tools can usually only monitor one or two things. But thanks to AI, Dynatrace can track everything. The tool is also extremely low-maintenance, making it the best and most efficient solution for us at Porsche Informatik.
Why did you decide to start using a new monitoring tool?
Alexander: When Porsche Informatik’s Strategy 4.0 was introduced just over a year and a half ago, we directed our focus on the client of our applications. For example, Caradvisor is our car dealership rating platform for end-customers, who can use it to rate sales consultations, vehicle purchases, service appointments and other aspects, and also a tool to rate customers experience of buying a new car in terms of add-on accessories. As a software developer and hoster, it was important for us to know: ‘How are our clients really getting on with our applications? 
How did the CarAdvisor team and the Dynatrace team come together?
Anna: For us, it is therefore difficult to see how individual customers are getting along with our applications in the market – such as WeltAuto and CarConfigurator. Because Dynatrace monitors all end-customer applications – including CarAdvisor – it solved a problem which then brought us together.
What was the problem?
Alexander: One customer was experiencing serious performance issues when attempting to provide individual rating details for a car dealership. Via traditional means, it would have taken a long time to implement a solution, as the list of possible components and causes can be very long for performance problems – especially when the monitoring tool says that the application is OK, i.e. online and running.
What was different about the solution?
Anna: What is new about this solution is that Dynatrace records and analyses all user sessions anonymously, including the browser behaviour. This makes it possible to see at exactly which stage the problem occurs. But customers needn’t worry about privacy – it is only possible to see the user session for this application; anything else that the customer does on their mobile device remains private, of course.
Alexander: AI-assisted analysis has saved us an enormous amount of time, since we no longer have to trawl through databases, log files, etc. This has minimised the time we need to solve a problem. We would estimate that it has cut the required time by around 80% in comparison to conventional troubleshooting.
What was the breakthrough that made this solution a success story?
Anna: It wasn’t really anything ground-breaking. It was more or less an everyday situation. But the perfect interaction between two teams with a perfect tool has ultimately enabled us to save a huge amount of time and manpower – and also avoid a lot of stress. Due to the fast detection and solving of problems, we were able to make the application more powerful and efficient for the customer in no time at all.
What’s next? Do you already have some more potential success stories in your sights?
Alexander: Our next project is ‘Auftragscockpit’, a new order application that runs in the cloud with automated deployment. It is being piloted at one of our car dealerships, where Dynatrace monitoring is already in use. The goal is fast, continuous deployment, i.e. lots of fast, minor updates that improve the application on a constant basis. Dynatrace checks the pilot without us having to tie up manpower for manual monitoring. If the tool detects a problem, it lets us know; if it doesn’t find an issue, the update is completed immediately. Problems can therefore be identified more or less at the push of a button. And the cool part is that everything can be controlled via Amazon Alexa. Alexa is integrated into Dynatrace, with a dedicated Alexa skill called ‘Davis’. I can use Davis to control Dynatrace and get important information incredibly quickly.
If you need any additional information regarding Dynatrace solutions, please, write at
List of news      >