Making microservices micro with Istio and Kubernetes

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 stacks 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 works, the technology behind it, and how it addresses the aforementioned concerns.

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Ray Tsang is a Developer Advocate for the Google Cloud Platform. Ray had extensive hands-on cross-industry enterprise systems integration delivery and management experiences during his time at Accenture, managed full stack application development, DevOps, and ITOps. Ray specialized in middleware, big data, and PaaS products during his time at Red Hat while contributing to open source projects, such as Infinispan. Aside from technology, Ray enjoys traveling and adventures.

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