Kubernetes
Kubernetes (commonly stylized as K8s) is an open-source container-orchestration system for automating deployment, scaling and management of containerized applications. It was originally designed by Google and is now maintained by the Cloud Native Computing Foundation. It aims to provide a "platform for automating deployment, scaling, and operations of application containers across clusters of hosts." It works with a range of container tools, including Docker.
Source: https://en.wikipedia.org/wiki/Kubernetes
Position on the Adoption Curve
Presentations about Kubernetes
Peloton - Uber's Webscale Unified Scheduler on Mesos & Kubernetes
Peloton - Uber's Webscale Unified Scheduler on Mesos & Kubernetes
Alibaba Container Platform Infrastructure - a Kubernetes Approach
How to Evolve Kubernetes Resource Management Model
Securing a Multi-Tenant Kubernetes Cluster
Managing Kubernetes with Istio
Kubernetes AMA w/ Fei Guo & Oliver Gould
Kubernetes AMA w/ Fei Guo & Oliver Gould
Kubernetes AMA w/ Fei Guo & Oliver Gould
Knative Workshop
Knative Workshop
Kubernetes: an Under The Hood Tour (Afternoon Group)
Kubernetes: an Under The Hood Tour (Afternoon Group)
Kubernetes: an Under The Hood Tour (Morning Group)
Kubernetes: an Under The Hood Tour (Morning Group)
Interviews
Alibaba Container Platform Infrastructure - a Kubernetes Approach
What is the focus of your work today?
I'm currently working on Alibaba Container Platform team, focusing on the integration of the Kubernetes including extending it for our workloads and needs in terms of creating new controllers making the Scheduler more scalable and providing native Kubernetes API to the upper pass layer demanded by other clients in the Alibaba cloud infrastructure.
What is the motivation for your talk?
The reason I want to give a talk is that I hear from our company or other companies that using Kubernetes as a container platform they have some worries in terms of the scalability or if the Kubernetes can satisfy the workloads that they are running. I want to ease some doubts on these two aspects. The number one thing is that Kubernetes allows you to add extensions to overcome certain scalability limitations. Number two, it is not very complicated to develop certain kind of workloads. I take Alibaba as a strong use case because there are more than 10000 applications running the containers using Kubernetes.
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