The idea behind serverless computing is that it lets you, as a developer, focus only on writing your code. With serverless computing, you just upload the code somewhere, and it runs whenever you invoke it. Simply put, serverless computing frees you from the complexities of configuring and maintaining Kubernetes clusters. This page gathers resources about how to build a Serverless Kubernetes cluster.
Below we have compiled publicly available sources from around the world that present views on Kubernetes Serverless.
Perspectives on Kubernetes Serverless
Further Reading
- Kubernetes Cluster Policies — For enterprise production deployments of Kubernetes clusters, enforcing cluster-wide policies to restrict what a container is allowed to do is an extremely important requirement. This page gathers resources about Kubernetes Cluster Policies such as Pod Security Policies, Network Policies and Resource Quotas.
- Kubernetes Federation — Kubernetes Federation gives you the ability to manage deployments and services across all the Kubernetes clusters located in different regions. This page gathers resources on how to set up a Kubernetes Cluster Federation, including tutorials and examples.
- Kubernetes High Availability Clusters — Kubernetes clusters enable a higher level of abstraction to deploy and manage a group of containers that comprise the micro-services in a cloud-native application. This page gathers resources about high availability cluster components and how to set up a high availability Kubernetes cluster.
- Kubernetes Logging — Application and system logs can help you understand what is happening inside a cluster. Kubernetes provides two logging end-points for applications and cluster logs: Stackdriver Logging for use with Google Cloud Platform and Elasticsearch. This page gathers resources about Kubernetes logging architecture including tutorials and examples.
- Kubernetes Proxies — There are several different proxies you may encounter when using Kubernetes: kubectl, apiserver proxy, kube-proxy, a proxy/load-balancer in front of apiserver and a cloud load balancer on external services. This page gathers resources about the different types of Kubernetes proxies.
- Kubernetes Serverless — The idea behind serverless computing is that it lets you, as a developer, focus only on writing your code. With serverless computing, you just upload the code somewhere, and it runs whenever you invoke it. Simply put, serverless computing frees you from the complexities of configuring and maintaining Kubernetes clusters. This page gathers resources about how to build a Serverless Kubernetes cluster.
- Working with Kubernetes Dashboard — Kubernetes Dashboard is a general purpose, web-based UI for Kubernetes clusters. It allows users to manage applications running in the cluster and troubleshoot them, as well as manage the cluster itself. This page gathers resources on how to install, access and secure Kubernetes dashboard.
