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Knative: A Kubernetes Framework to manage Serverless Workloads

Nikhil Barthwal
Technical Lead at Google
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DevOps Pro Europe 2019
March 19 2019, Vilnius, Lithuania
DevOps Pro Europe 2019
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Knative: A Kubernetes Framework to manage Serverless Workloads
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About speaker

Nikhil Barthwal is passionate about building distributed systems. He has several years of work experience in both big companies & smaller startups and also acts as a mentor to several startups. Currently, he is Tech Lead in Google Cloud Platform working on Knative, a Kubernetes-based platform to build, deploy, and manage modern serverless workloads. Outside of work, he speaks at local meetups as well as international conferences on several topics related to Distributed systems & Programming Languages.

About talk

Topic: IT

Knative is a Kubernetes-based platform to build, deploy, and manage modern serverless workloads. It provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center. Knative components are built on Kubernetes and codify the best practices shared by successful real-world Kubernetes-based frameworks.

Each of the components under the Knative project attempt to identify common patterns and codify the best practices that are shared by successful real-world Kubernetes-based frameworks and applications. Knative components focus on solving many mundane but difficult tasks such as:
– Deploying a container
– Orchestrating source-to-URL workflows on Kubernetes
– Routing and managing traffic with blue/green deployment
– Automatic scaling and sizing workloads based on demand
– Binding running services to eventing ecosystems

This talk describes how Knative enables you to focus just on writing interesting code, without worrying about the “boring but difficult”parts of building, deploying, and managing an application. It shows how developers can even use familiar idioms, languages, and frameworks to deploy any workload: functions, applications, or containers.

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