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From there, we’ll look at a real world use case, where a small team went through the process of deploying a production service on AWS (full disclosure: it was one of our own internal product teams). At the time, we had limited exposure to the Kubernetes deployment process. We’ll give you a “behind the scenes” look into our team’s journey.
Our initial use case was simple: build a few microservices backed by Amazon Relational Database Services (RDS), and run them on Kubernetes. Our goal was to have the ability to run the cluster in any environment, from Amazon, Google and Microsoft public clouds; developer laptops; and dedicated on-premise deployments.
Join this session to learn how to make Kubernetes deployment easier - plus a few fun (potentially embarrassing!) stories as we made our way through the Kubernetes production experience.
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Ilya Dmitrichenko
Ilya is a Developer Experience Engineer at Weaveworks, focused on making the adoption of microservices easier
Tom Wilkie
Tom is one of the Prometheus Developers and VP Product at Grafana Labs. Previously he founded Kausal, a new company working on Prometheus & Cortex. and has worked at companies such as Weaveworks, Google, Acunu and XenSource. In his spare time, Tom likes to make craft beer and build 3D printers.