In our recent Blog Post we introduced the OpenAPM Initiative. Using OpenAPM you are able to design an open source Application Performance Management (APM) landscape […]

The default way to scale applications in Kubernetes (K8s) is by CPU usage. But not all problems are CPU based and scaling on other metrics […]

Automation is great! And so I want to automate everything, even during load testing. However one of the most annoying things that constantly comes up […]

Application performance management (APM) is an essential part of today’s IT landscape. Doing consulting work at our enterprise customers, we most often encounter commercial APM […]

With release 1.8 of our Application Performance Management (APM) tool inspectIT, we integrated a new feature named Automatic Problem Diagnosis. APM tools mainly provide alerting […]

In today’s application performance management (APM), dashboarding is one of the central capabilities you expect from a fully-fledged APM suite. Recent trends, such as AI […]

With Kibana’s machine learning feature you can setup an anomaly detection process in order to detect anomalous patterns in your application’s performance metric data. In […]

Elasticsearch, Logstash and Kibana also known as the ELK stack have been widely adapted by development and operation teams and used successfully by our customers […]

With the latest release of our APM tool inspectIT, a new long-awaited feature has been integrated: inspectIT now supports Browser End User Experience Monitoring. This […]

For a long time commercial Application Performance Management tools like Dynatrace or AppDyanmics have been able to update the monitoring points in your application without […]

By continuing to use the site, you agree to the use of cookies. more information

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close