Kubernetes architecture

Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It coordinates activities across a cluster of machines by defining basic building blocks like pods (which contain containers), replication controllers (which ensure a specified number of pods are running), and services (which define logical groups of pods). Kubernetes provides tools for running applications locally on a single node as well as managing resources in the cluster, including creating, deleting, viewing, and updating resources from configuration files.

The document provides an overview of Kubernetes concepts and architecture. It begins with an introduction to containers and microservices architecture. It then discusses what Kubernetes is and why organizations should use it. The remainder of the document outlines Kubernetes components, nodes, development processes, networking, and security measures. It provides descriptions and diagrams explaining key aspects of Kubernetes such as architecture, components like Kubelet and Kubectl, node types, and networking models.

Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery called pods. Kubernetes can manage pods across a cluster of machines, providing scheduling, deployment, scaling, load balancing, volume mounting and networking. It is widely used by companies like Google, CERN and in large projects like processing images and analyzing particle interactions. Kubernetes is portable, can span multiple cloud providers, and continues growing to support new workloads and use cases.

Those are the slides that were used to give an introduction to Kubernetes at the Nardoz Berlin Meetup on the 2018-06-28.

This document introduces Docker Compose, which allows defining and running multi-container Docker applications. It discusses that Docker Compose uses a YAML file to configure and run multi-service Docker apps. The 3 steps are to define services in a Dockerfile, define the app configuration in a Compose file, and run the containers with a single command. It also covers topics like networking, environment variables, and installing Docker Compose. Hands-on labs are provided to learn Compose through examples like WordPress.

A Comprehensive Introduction to Kubernetes. This slide deck serves as the lecture portion of a full-day Workshop covering the architecture, concepts and components of Kubernetes. For the interactive portion, please see the tutorials here: https://github.com/mrbobbytables/k8s-intro-tutorials

Kubernetes is an open-source container cluster manager that was originally developed by Google. It was created as a rewrite of Google's internal Borg system using Go. Kubernetes aims to provide a declarative deployment and management of containerized applications and services. It facilitates both automatic bin packing as well as self-healing of applications. Some key features include horizontal pod autoscaling, load balancing, rolling updates, and application lifecycle management.

This presentation covers how app deployment model evolved from bare metal servers to Kubernetes World. In addition to theoretical information, you will find free KATACODA workshops url to perform practices to understand the details of the each topics.

Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It was originally developed by Google based on years of experience running production workloads at scale. Kubernetes groups containers into logical units called pods and handles tasks like scheduling, health checking, scaling and rollbacks. The main components include a master node that manages the cluster and worker nodes that run application containers scheduled by the master.

Many applications require configuration using some combination of configuration files, command line arguments, and environment variables. ConfigMaps in Kubernetes provide mechanisms to inject containers with configuration data while keeping them portable. Secrets decouple sensitive content from the pods using a volume plug-in. This webinar will discuss the use cases and scenarios for using ConfigMaps and Secrets.

Introduction talk from Alejandro Galue about Kubernetes and how to run OpenNMS services on Kubernetes based platforms.

This document provides an introduction to Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It first reviews what Docker is and its features like isolation and compatibility across platforms. It then explains that container orchestration is needed to manage thousands of containers across a cluster, ensure efficient resource use, and automate container lifecycles. Kubernetes is recommended because it is actively developed by major companies, makes scheduling and managing workloads easy through features like rolling updates, and has many extensions available.