Production-Grade Container Orchestration

Production-Grade Container Orchestration

FEATURE STATE: Kubernetes v1.25 [stable] You can customize the behavior of the kube-scheduler by writing a configuration file and passing its path as a command line argument. A scheduling Profile allows you to configure the different stages of scheduling in the kube-scheduler. Each stage is exposed in an extension point. Plugins provide scheduling behaviors by implementing one or more of these extension points. You can specify scheduling profiles by running kube-scheduler --config <filename>, using the KubeSchedulerConfiguration v1 struct.

There are two official Kubernetes blogs, and the CNCF has its own blog where you can cover Kubernetes too. For the main Kubernetes blog, we (the Kubernetes project) like to publish articles with different perspectives and special focuses, that have a link to Kubernetes. With only a few special case exceptions, we only publish content that hasn't been submitted or published anywhere else. Writing for the Kubernetes blog(s) As an author, you have three different routes towards publication.

You can use the Kubernetes command line tool kubectl to interact with the API Server. Using kubectl is straightforward if you are familiar with the Docker command line tool. However, there are a few differences between the Docker commands and the kubectl commands. The following sections show a Docker sub-command and describe the equivalent kubectl command. docker run To run an nginx Deployment and expose the Deployment, see kubectl create deployment.

Production-Grade Container Orchestration

This page provides an overview of controlling access to the Kubernetes API. Users access the Kubernetes API using kubectl, client libraries, or by making REST requests. Both human users and Kubernetes service accounts can be authorized for API access. When a request reaches the API, it goes through several stages, illustrated in the following diagram: Transport security By default, the Kubernetes API server listens on port 6443 on the first non-localhost network interface, protected by TLS.

FEATURE STATE: Kubernetes v1.14 [stable] Pods can have priority. Priority indicates the importance of a Pod relative to other Pods. If a Pod cannot be scheduled, the scheduler tries to preempt (evict) lower priority Pods to make scheduling of the pending Pod possible. Warning:In a cluster where not all users are trusted, a malicious user could create Pods at the highest possible priorities, causing other Pods to be evicted/not get scheduled.

By default, containers run with unbounded compute resources on a Kubernetes cluster. Using Kubernetes resource quotas, administrators (also termed cluster operators) can restrict consumption and creation of cluster resources (such as CPU time, memory, and persistent storage) within a specified namespace. Within a namespace, a Pod can consume as much CPU and memory as is allowed by the ResourceQuotas that apply to that namespace. As a cluster operator, or as a namespace-level administrator, you might also be concerned about making sure that a single object cannot monopolize all available resources within a namespace.

Production-Grade Container Orchestration