Aug 1, 2018
Stuttgart, Germany
Sep 26, 2018   |  By Multiple Authors
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 that is suitable to monitor your technology stack. In this blog post we show a proof of concept demonstrating a modular open-source APM solution by creating a small-scale experiment with selected open-source tools.
Jul 20, 2018   |  By Multiple Authors
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 suites. While the market of holistic, out-of-the-box APM solutions is certainly dominated by commercial vendors, the open-source community provides a variety of technologies, each of them excelling at an individual aspect of APM.
Mar 8, 2018   |  By Multiple Authors
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 it’s simplest form, you are interested in higher and lower response times than usual. Every application is unique in terms of what is usual. Baselining is the key to learn what is meant to be usual for your application and gives you the power to know when something unusual or unexpected happens – an anomaly.
Feb 26, 2018   |  By Multiple Authors
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 for log analytics – as one piece of the puzzle – to provide outstanding reliable software systems. The Elastic APM solution (currently available as beta version) adds another piece to the puzzle.