What are key metrics in monitoring Kubernetes? Kubernetes Metrics Server aggregates data collected from the kubelet on each node, passing it through the Metrics API, which can then combine with a number of visualization tools. Some key metrics to consider tracking include: Cluster state metrics, ...
Cloud Container Engine (CCE) is a Kubernetes cluster hosting service for enterprises. It manages the enter lifecycle of containerized applications and delivers scalable,
In a microservices architecture, an application is divided into distinct tasks and services. Each task or service is created independently, and each one runs a unique process and usually manages its own database. A service can generate alerts, log data, support user interfaces (UIs), handle use...
Kubernetes glossary A virtual or physical machine, depending on the cluster setup. Each node is managed by the control plane and contains the services necessary to run pods. The smallest unit in the Kubernetes object model that is used to host containers. ...
At its base, Kubernetes brings together individual physical or virtual machines into a cluster using a shared network to communicate between each server, again whether physical or virtual machines. This Kubernetes cluster is the physical platform where all Kubernetes components, capabilities, and workload...
API server:The application programming interface(API) server in Kubernetes exposes the KubernetesAPI(the interface used to manage, create and configure Kubernetes clusters) and serves as the entry point for all commands and queries. etcd: Theetcdis an open source, distributed key-value store used ...
Created by placing files in a Kubelet-watched directory, static pods bypass the KubernetesAPI server, enabling scenarios like cluster bootstrapping. However, they are not managed by kubectl or other Kubernetes API clients, and their future in Kubernetes is uncertain. ...
Kubernetes enables several custom metrics to be used for the HPA, including: Load balancertraffic. Outbound connections. Queue depth. Latency of a function or dependency. Request latency, etc. Autoscaling Based on Multiple Metrics Thespec.metricsfield inautoscaling/v2allows setting up multiple metrics...
Kubernetes is all about sharing machines between applications. As each pod gets its own IP address, this creates a clean, backward-compatible model. Pods can be treated as VMs in terms of port allocation, naming, service discovery, load balancing, application configuration and migration. ...
The API server is the front end for the Kubernetes control plane, processing both internal and external requests to manage various aspects of the cluster. Replication sets These maintain a specified number of identical pods to ensure high availability and reliability. If a pod fails, the replicatio...