Wolfgang Beer

Wolfgang is a Technical Product Manager at Dynatrace. He has a long record of research in software analytics and mobile computing. At Dynatrace, he's responsible for baseline calculation and event correlation in performance analytics. He also drives the topic of mobile app monitoring.

Wolfgang Beer's articles

Improve team awareness: Integrate Atlassian Trello & Dynatrace

Atlassian Trello is a great tool for visually planning and organizing team tasks. Atlassian Trello also promotes team awareness of open issues and incidents. With our latest release, Dynatrace now supports Trello teams by automating the push of auto-detected problems directly to your Trello boards. Atlassian Trello allows your teams to organize their tasks using boards, lists, and cards. Each board represents a logical grouping of related lists that are associated with… read more

More real user monitoring metrics now available in Dynatrace API

The latest release of the Dynatrace Timeseries REST API has been enhanced to include all long-term persisted real user monitoring metrics that Dynatrace collects for your web applications. In previous releases, the Dynatrace API only exposed basic metrics, such as performance and error rates. The latest enhancement exposes all real user monitoring metrics, including conversions, bounce rate, Apdex, and many others. To date, the timeseries endpoint offered only some long-term… read more

Manage planned downtimes with maintenance windows

The latest release of Dynatrace enables you to define maintenance windows using either the Dynatrace API or the Dynatrace web interface. Even if your organization runs a ‘100% availability’ production environment, there are times when your DevOps team must roll out new software updates. Various release-deployment strategies are available for this, including performing rolling updates and iteratively updating parts of instances. No matter which release-rollout strategy your… read more

Automate push of 3rd-party events into Dynatrace problem analysis

Dynatrace monitoring is now an integral component of many DevOps teams’ tool chains. No matter if you’re triggering a load test or pushing a new deployment into production, Dynatrace offers the right APIs for ensuring the stability and high performance of your applications. While Dynatrace OneAgent does a great job of deeply monitoring your technology stack, there are certain situations where only 3rd-party systems can provide required contextual information about external events. read more

Efficiently filter problem notifications with alerting profiles

The latest Dynatrace release introduces an important change in the way that notifications are sent out for detected problems in your environment. To date, personalized watch settings have been used to define how alerts are sent out for detected problems. This approach has proven to be cumbersome within large environments. Also, watch settings can’t account for important factors of detected problems, such as severity levels and tag-based filters. Alerting profiles… read more

Custom alerts: What you set is what you get

Dynatrace offers powerful artificial intelligence that automatically detects performance anomalies in your environment. When such problems are detected, Dynatrace sends out real-time alerts with correlated root-cause analysis details that facilitate problem resolution. There can be situations, however, when you don’t want to receive alerts related to certain known problems. For example, you may not want to be alerted each time your free disk space drops below 30%, or when a certain… read more

Custom percentiles for dashboard charts & Dynatrace API calls

Dynatrace monitors the performance of each transaction that occurs in your environment. Performance data, including response times for each service and service method, are tracked and stored for each transaction. By collecting such time series data for each transaction and categorizing the results based on percentiles, Dynatrace can show the distribution of response times of each service and service method over time. All of the response time distribution charts presented… read more

Integrate JIRA issue tracking with your Dynatrace environment

The latest Dynatrace release introduces integration support for Atlassian JIRA. With Dynatrace JIRA integration, issue tickets are generated automatically for all new problems that are auto-detected in your Dynatrace environments. Atlassian JIRA Atlassian JIRA is the most popular issue tracking system available today. A high percentage of development and operations departments worldwide use JIRA for issue management. The ability of JIRA to manage issues, trigger workflows, and track code and production… read more

Business impact analysis now provided with each detected problem

Automatic and multidimensional performance baselining of all your service requests is a powerful way to quickly detect abnormal behavior in your environment. While baseline violations serve as great trigger events for initiating deeper problem analysis, not all potential real user impact can be detected solely based on statistical alerts. This is why each problem discovered by Dynatrace now includes a Business impact analysis section that quickly shows you the impact of the problem on… read more

Problem severity classifications now available

Over the past couple of years, we’ve discovered that classifying detected problems based solely on impact to related services and applications is insufficient. For example, serious application availability problems can sometimes be difficult to recognize amidst unrelated infrastructure resource problems. This is why we’ve introduced problem severity levels to help you focus on severe problems (for example, application availability problems) while ignoring insignificant resource issues. The latest Dynatrace release introduces… read more