Damien is a Developer Evangelist at Splunk and spends a good deal of his time building apps, tools and frameworks for the Splunk platform, with a specific emphasis on the Java ecosystem and then engaging with the developer community to educate about the many different ways that Splunk can be developed upon and integrated with.A fervent JVM fan, he has a particular interest in the new breed of alternate JVM languages and actually thinks that logging is cool. Prior to joining Splunk, Damien paid his mortgage wearing many different technical hats coding,hacking,engineering and architecting software and solutions around the globe in a variety of industries, primarily in the Enterprise Java space. He also recently worked with the SpringSource team on creating new Spring Integration adaptors for Splunk.
How much visibility do you really have into your Spring applications? How effectively are you capturing,harnessing and correlating the logs, metrics, & messages from your Spring applications that can be used to deliver this visibility ? What tools and techniques are you providing your Spring developers with to better create and utilize this mass of machine data ? In this session I'll answer these questions and show how Splunk can be used to not only provide historical and realtime visibility into your Spring applications , but also as a platform that developers can use to become more "devops effective" & easily create custom big data integrations and standalone solutions.I'll discuss and demonstrate many of Splunk's Java apps,frameworks and SDK and also cover the Spring Integration Adaptors for Splunk.