In this podcast, Daniel Bryant sat down with Anurag Goel, Founder and CEO of Render. Topics covered included: the evolution of cloud platforms; simplifying developer experience; running large-scale workloads on Kubernetes; and the future of tooling and platforms within the cloud native computing space.

Why listen to this podcast:

 - Render is aiming to be the next generation of cloud provider. Developers deploy and manage applications via a Platform-as-a-Service (PaaS) -like experience using custom simplified YAML configuration.
 - Render is built on top of Kubernetes, but the internals and configuration of this orchestration framework is not exposed to end user developers.
 - Many large scale usages of traditional cloud vendor platforms require the formation of specialised in-house “DevOps” teams. The provision of virtualisation and API-driven operation via the cloud providers was revolutionary, but it didn’t fundamentally change the existing platform paradigm.
 - Arguably platform usability may have taken a step back with the arrival of public cloud vendor platforms. For example, developers may just want to write code, and not have to write complicated deployment descriptors. Operations team may want to focus on supporting engineers and advising on performance and scale, rather maintaining cloud provisioning scripts.
 - The Render team are planning to run all future workloads of self-managed Kubernetes, rather than use a hosted offering, due to them experiencing implementation bugs when running their clusters at medium-to-large scale.
 - The Cloud Native Computing Foundation (CNCF) is encouraging large amounts of innovation within the cloud platform space. However, due to the Cambrian explosion of the Cloud Native Landscape over the past several years, there must surely be consolidation of tools, platforms, and vendors in the near future.

More on this: Quick scan our curated show notes on InfoQ https://bit.ly/2H2lY1s

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InfoQ Podcast

Show Notes

Anurag Goel on Cloud Native Platforms, Developer Experience, and Scaling Kubernetes

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