Feb 8, 2019 | By Ivan Senić
Yes, easily. Without changing a single line of code. Without any configuration needed. Plus, you can freely choose your favorite tool for metrics storage and visualization.
Jan 18, 2019 | By Ivan Senić
The inspectIT team is happy to announce the start of the inspectIT OCE project, which aims to combine features of the existing inspectIT APM project and the flexibility of the OpenCensus instrumentation library. Our goal is to create a production-ready Java agent that provides the automatic collection of metrics and traces using the OpenCensus standard, without the need to manually instrument your application and change the source code.
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.
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.