Instana raises $6M in Series A

What does Instana do?
Instana, is a provider of app performance monitoring solutions. The company goes beyond application monitoring and analytics by applying a knowledge base and machine learning approach for assisting IT teams. The company visualizes its customer’s application landscape and makes actionable suggestions which assure the operational health of systems and applications. In micro service and cloud native based applications, it is not just about data monitoring, it is about deriving actionable info which increased the performance and availability of business apps. The company is handling the issues of monitoring and managing the increasingly complex big data and micro services architectures; human being cannot monitor these systems by just data collection and dashboard building. Instana delivers unprecedented clarity into the performance and health of these modern architectures by auto discovering the application’s topology and technologies. The company pairs its own growing knowledge base with machine learning approach for predicting future performance downtime or degradation, identifying service interdependencies, and offering actionable advice to bring a system back to its good health. The company’s virtual development operations assistant, offers advice which includes the pin point root cause and suggestion for remediation.
How much Instana was funded?
The company raised $6M in Series A on June 7, 2016 from codecentric AG and Target Partners.

What is next for Instana?
The company is excited to have Codecentric and Target Partners on board for supporting it. It has recently established itself in the U.S.

More about Instana
Instana was founded on April 1, 2015 by Fabian Lange and Pavlo Baron. It has its headquarters in San Francisco, California. The company is a spin off from Codecentric and the development team has over 100 years of professional experience in big data, application performance and machine learning. The team comprises of total 23 members. The company applies machine learning and knowledge based approach to assist the IT teams.