You've deployed your application and exposed it via a Service. Now what? Kubernetes provides a number of tools to help you manage your application deployment, including scaling and updating. Organizing resource configurations Many applications require multiple resources to be created, such as a Deployment along with a Service. Management of multiple resources can be simplified by grouping them together in the same file (separated by --- in YAML). For example:

A Deployment manages a set of Pods to run an application workload, usually one that doesn't maintain state.

FEATURE STATE: Kubernetes v1.34 [stable](enabled by default) This page shows you how to allocate devices to your Pods by using dynamic resource allocation (DRA). These instructions are for workload operators. Before reading this page, familiarize yourself with how DRA works and with DRA terminology like ResourceClaims and ResourceClaimTemplates. For more information, see Dynamic Resource Allocation (DRA). About device allocation with DRA As a workload operator, you can claim devices for your workloads by creating ResourceClaims or ResourceClaimTemplates.

This guide is to help users debug applications that are deployed into Kubernetes and not behaving correctly. This is not a guide for people who want to debug their cluster. For that you should check out this guide. Diagnosing the problem The first step in troubleshooting is triage. What is the problem? Is it your Pods, your Replication Controller or your Service? Debugging Pods Debugging Replication Controllers Debugging Services Debugging Pods The first step in debugging a Pod is taking a look at it.

In Kubernetes, scheduling refers to making sure that Pods are matched to Nodes so that Kubelet can run them. Scheduling overview A scheduler watches for newly created Pods that have no Node assigned. For every Pod that the scheduler discovers, the scheduler becomes responsible for finding the best Node for that Pod to run on. The scheduler reaches this placement decision taking into account the scheduling principles described below.

Set up Kubernetes tools on your computer.

Learn about ServiceAccount objects in Kubernetes.

Recommendations for designing and deploying admission webhooks in Kubernetes.

Kubernetes can be configured to use swap memory on a node, allowing the kernel to free up physical memory by swapping out pages to backing storage. This is useful for multiple use-cases. For example, nodes running workloads that can benefit from using swap, such as those that have large memory footprints but only access a portion of that memory at any given time. It also helps prevent Pods from being terminated during memory pressure spikes, shields nodes from system-level memory spikes that might compromise its stability, allows for more flexible memory management on the node, and much more.

FEATURE STATE: Kubernetes v1.18 [stable] This page shows how to configure Group Managed Service Accounts (GMSA) for Pods and containers that will run on Windows nodes. Group Managed Service Accounts are a specific type of Active Directory account that provides automatic password management, simplified service principal name (SPN) management, and the ability to delegate the management to other administrators across multiple servers. In Kubernetes, GMSA credential specs are configured at a Kubernetes cluster-wide scope as Custom Resources.