Aug 1, 2018
Stuttgart, Germany
Sep 19, 2018   |  By Multiple Authors
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 like requests or latency is sometimes more suitable. In this blogpost I will explain how you can use any kind of metric to scale your application on K8s using Spring Boot and Prometheus.
Jul 16, 2018   |  By Christian Vögele
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 and visualization capabilities in order to detect performance problems during operation. However, to isolate and diagnose the real root cause of problems is still a highly manual and repetitive task which also requires a lot of APM expert knowledge.
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.
Nov 21, 2017   |  By Jonas Kunz
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 means that for every Java Servlet API based application (or any technology which itself uses the Servlet API), you can now monitor the actually experienced performance of your web front-end via the APIs the internet browsers expose. Examples for such APIs are the Navigation Timing API and the Resource Timing API.
Nov 15, 2017   |  By inspectIT
In this video, we want to show how easy it is to integrate an inspectIT agent into a Spring (Boot) or Java application to be able to extract run-time data in order to monitor and analyze the application.