Ray Tsang

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 with out-of-the-box Kubernetes tools, as well as getting insight from the ecosystem with Weave Scope, JFrog Artifactory & Stackdriver tools.

Microservices are here to stay. When applied properly, microservices techniques and culture ultimately help us continuously improve business at a faster pace than traditional architecture. However, microservices architecture itself can be complex to configure. All of a sudden, we are faced with the need for a service discovery server, how do we store service metadata, make decisions on whether to use client side load balancing or server side load balancing, deal with network resiliency, think how do we enforce service policies and audit, trace nested services calls…. The list goes on.

Sure, it’s easy to have a single stack that makes everything work provided there are good microservices support – but what if you have a polyglot environment? How would you make sure all of the stack can address the same concerns in a consistent way? This is where a service mesh comes in.

In this talk, Ray will introduce Istio, an open source service mesh framework created by Google, IBM, and Lyft. We’ll see how the service mesh work, the technology behind it, and how it addresses aforementioned concerns.