Proactive IT Operations Management

AI-powered, full-stack, and automated digital performance management for every user, every app, everywhere.

For six years in a row, Dynatrace leads the Gartner Magic Quadrant in the field of digital performance management. When there are IT problems, solution processes are often long, expensive and complicated. Suspect components are replaced and configurations modified. This results in a ‘workable’ solution, without the problem actually having been resolved. Diagnostic monitoring can perform a root-cause analysis right down to the code level. As a result, direct concrete solutions can be proposed. Within the Ymonitor Platform, the modules ‘Automatic Root Cause Analysis’ and ‘Real User Monitoring’ are delivered with Dynatrace. Implementing Dynatrace on critical application chains enables proactive IT Operations Management and helps resolve incidents faster.


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All in one

Full stack monitoring, single transaction analysis and broadest technology coverage.

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Smarter monitoring at scale

Intuitive dashboards and zero configuration, pre-configured and self-learning and scales up to 100,000+ hosts.

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Big data analytics

Business dashboards, user behavior analytics and automated root-cause analysis

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Open eco system

Seamless integration, APIs and platform extensions, deployment of Dynatrace as SaaS or on-premises.

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Find out where and why applications break and detect anomalies before they affect customers.

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Integrate the Dynatrace data into your Ymonitor framework, having all relevant information in one place.

Main benefits

Dynatrace has been given the title ‘leader’ by Gartner for six years in a row in the field of Application Performance Management. The software integrates with Ymonitor and helps you gain in-depth insight into your IT chain. This provides benefits in terms of efficiency, flexibility and costs:
  • Reducing resolution times due to fast root-cause analyses;
  • Concrete improvements possible due to in-depth insight;
  • Higher conversion due to insights into the effectiveness of web applications;
  • Direct direction of responsible engineers due to detailed information on the behavior of the application;
  • From reactive to proactive control;
  • Alerts in the event of faults.

How does it work?

Dynatrace is based on the use of agents which gather diagnostic information. All the traffic on an application or machine is registered across all components, from the user to the source. Analysing these data results in deep insight. For example: is the poorer performance caused by long waiting times on external applications, on disks, in internal processing, or maybe as a result of memory management? Which and how many queries are sent to the database, and how long did these queries last?

Who is it for?

Diagnostic monitoring is used primarily by architects, technical administrators and functional administrators. However, the results can be deployed on an extremely broad basis: the detailed information helps technical application administrators and developers to quickly identify and resolve problems, while the smart analyses also enable business-related issues to be tackled. This could include information on numbers and types of users and the conversion ratio, which can be of use to the marketing department.

For example:

A client had performance issues in its tailor-made software package: the software regularly froze. Administrators could not see any signs of overloading, missing indexes or configuration errors. The developers had already tackled all the potentially suspect program code, but without success so far. By this point, the customer had for some time already been in a situation in which the experts involved were pointing the finger at one another, and it was not clear what was causing the problems. Sentia was asked to carry out troubleshooting, and used the diagnostic monitoring software of Dynatrace for this. By gathering and analysing all the behaviour on the application, the cause was identified within three days. The issue turned out to consist of three aspects: one could be resolved by a configuration adjustment, and two needed code modifications.
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