Debugging applications in production is like being the detective in a crime movie. Especially with microservices. Especially with containers. Especially in the cloud. Trying to see what’s going on in a production deployment at scale is impossible without proper tools! Google has spent over a decade deploying containerized Java applications at unprecedented scale and the infrastructure and tools developed by Google have made it uniquely possible to manage, troubleshoot, and debug, at scale. Join this session to see how you can diagnose and troubleshoot production issues w/ out of the box Kubernetes tools, as well as getting insight from the ecosystem with Weave Scope, JFrog Artifactory & Stackdriver tools.
Bio Ray Tsang:
Ray is a Developer Advocate for the Google Cloud Platform. Ray had extensive hands on cross-industry enterprise systems integration delivery and management experiences since 2002. Ray has built mobile applications & micropayment systems as an independent contractor. During his time in Taiwan, Ray has built IT systems for Taiwanese government for a large scale search engine, electronic customs record management, and more. At Accenture, Ray was a team lead for a SOA deployment at a utilities company, building out common frameworks for messaging and service tracing. Moreover, Ray was an architect leading teams to implement online booking channels for a global hospitality company. During Ray’s time at Red Hat, he was specialized in Java middleware, and contributing to open source projects such as Infinispan.
Bio Matt Feigal:
Matt Feigal is head of engineering at Google Wind and Google Self-Driving Bike team. But when people don’t believe him, he admits to being Lead Customer Engineer for Google Cloud Platform in Amsterdam, where he helps his favorite customers fall in love with the technical side of Google Cloud. He loves seeing people do exciting things faster, whatever the technology they use.