Kubernetes 101

Helm is a package manager for Kubernetes that allows for easy installation, upgrade, and management of Kubernetes applications. It provides repeatability, reliability, and simplifies deploying applications across multiple Kubernetes environments. Helm originated from an internal hackathon at Deis and was jointly developed by Google and Deis. It is now maintained by the Cloud Native Computing Foundation. Helm consists of a client that interacts with the Tiller server running inside the Kubernetes cluster to manage application lifecycles using charts, which are packages containing Kubernetes resource definitions.

Docker allows building portable software that can run anywhere by packaging an application and its dependencies in a standardized unit called a container. 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. Kubernetes can replicate containers, provide load balancing, coordinate updates between containers, and ensure availability. Defining applications as Kubernetes resources allows them to be deployed and updated easily across a cluster.

In this session, we will discuss the architecture of a Kubernetes cluster. we will go through all the master and worker components of a kubernetes cluster. We will also discuss the basic terminology of Kubernetes cluster such as Pods, Deployments, Service etc. We will also cover networking inside Kuberneets. In the end, we will discuss options available for the setup of a Kubernetes cluster.

This document provides an overview of Docker and Kubernetes (K8S). It defines Docker as an open platform for developing, shipping and running containerized applications. Key Docker features include isolation, low overhead and cross-cloud support. Kubernetes is introduced as an open-source tool for automating deployment, scaling, and management of containerized applications. It operates at the container level. The document then covers K8S architecture, including components like Pods, Deployments, Services and Nodes, and how K8S orchestrates containers across clusters.

This document provides an overview of Kubernetes including: - Kubernetes is an open source system for managing containerized applications and services across clusters of hosts. It provides tools to deploy, maintain, and scale applications. - Kubernetes objects include pods, services, deployments, jobs, and others to define application components and how they relate. - The Kubernetes architecture consists of a control plane running on the master including the API server, scheduler and controller manager. Nodes run the kubelet and kube-proxy to manage pods and services. - Kubernetes can be deployed on AWS using tools like CloudFormation templates to automate cluster creation and management for high availability and scalability.

This document provides an overview of Kubernetes, a container orchestration system. It begins with background on Docker containers and orchestration tools prior to Kubernetes. It then covers key Kubernetes concepts including pods, labels, replication controllers, and services. Pods are the basic deployable unit in Kubernetes, while replication controllers ensure a specified number of pods are running. Services provide discovery and load balancing for pods. The document demonstrates how Kubernetes can be used to scale, upgrade, and rollback deployments through replication controllers and services.

This document provides an introduction to Docker and containers. It discusses why containers are useful for software deployment given changes in the industry. Containers provide lightweight isolation of applications and their dependencies. Docker is a tool that manages containers running on the same operating system kernel. Key Docker components include the client, server, images, and containers. Popular use cases of Docker include Google running over a billion containers per week and Finnish Railways saving 50% of cloud costs with Docker.

Traditional virtualization technologies have been used by cloud infrastructure providers for many years in providing isolated environments for hosting applications. These technologies make use of full-blown operating system images for creating virtual machines (VMs). According to this architecture, each VM needs its own guest operating system to run application processes. More recently, with the introduction of the Docker project, the Linux Container (LXC) virtualization technology became popular and attracted the attention. Unlike VMs, containers do not need a dedicated guest operating system for providing OS-level isolation, rather they can provide the same level of isolation on top of a single operating system instance. An enterprise application may need to run a server cluster to handle high request volumes. Running an entire server cluster on Docker containers, on a single Docker host could introduce the risk of single point of failure. Google started a project called Kubernetes to solve this problem. Kubernetes provides a cluster of Docker hosts for managing Docker containers in a clustered environment. It provides an API on top of Docker API for managing docker containers on multiple Docker hosts with many more features.

This document provides an introduction to Kubernetes including: - What Kubernetes is and what it does including abstracting infrastructure, providing self-healing capabilities, and providing a uniform interface across clouds. - Key concepts including pods, services, labels, selectors, and namespaces. Pods are the atomic unit and services provide a unified access method. Labels and selectors are used to identify and group related objects. - The Kubernetes architecture including control plane components like kube-apiserver, etcd, and kube-controller-manager. Node components include kubelet and kube-proxy. Optional services like cloud-controller-manager and cluster DNS are also described.

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.

A basic introduction to Kubernetes. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.

Soft Introduction to Google's framework for taming containers in the cloud. For devs and architects that they just enter the world of cloud, microservices and containers

***** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification ***** ​ This Edureka tutorial on "What is Kubernetes" will give you an introduction to one of the most popular Devops tool in the market - Kubernetes, and its importance in today's IT processes. This tutorial is ideal for beginners who want to get started with Kubernetes & DevOps. The following topics are covered in this training session: 1. Need for Kubernetes 2. What is Kubernetes and What it's not 3. How does Kubernetes work? 4. Use-Case: Kubernetes @ Pokemon Go 5. Hands-on: Deployment with Kubernetes ​DevOps Tutorial Blog Series: https://goo.gl/P0zAfF

I presented Kubernetes Monitoring & Best Practices talk at Sumo Logic Bengaluru User group last Friday.

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 masters manage the cluster and make scheduling decisions while nodes run the pods and containers. It uses labels and selectors to identify and group related application objects together. Services provide a single endpoint for pods, while deployments help manage replicated applications. Kubernetes provides mechanisms for storage, configuration, networking, security and other functionality to help run distributed systems reliably at scale.

The document introduces Docker, a container platform. It discusses how Docker addresses issues with deploying different PHP projects that have varying version requirements by allowing each project to run isolated in its own container with specified dependencies. It then covers key Docker concepts like images, containers, linking, exposing ports, volumes, and Dockerfiles. The document highlights advantages of Docker like enabling applications to run anywhere without compatibility issues and making deployment more efficient.

Jonathan Gold from Container Solutions gave a workshop on advanced deployment strategies with Kubernetes and Istio at the spring 2019 Kubernetes and Cloud Native meetup in Ottawa.

The document provides an overview of Docker and IBM Bluemix Container Service. It begins with explaining what Docker is, how it differs from virtual machines, and why it is useful. It then discusses what IBM Bluemix is and how it provides different compute models including containers. The document explains that IBM Bluemix Container Service (formerly IBM Containers) is based on Docker and provides features like persistent storage, integrated monitoring and logging, and works with the IBM Bluemix DevOps toolchain. It notes that Container Service will evolve to use Kubernetes as the runtime engine to provide additional capabilities like declarative topologies, self-healing, and service discovery.

This document provides an introduction and overview of containers, Kubernetes, IBM Container Service, and IBM Cloud Private. It discusses how microservices architectures break monolithic applications into smaller, independently developed services. Containers are presented as a standard way to package applications to move between environments. Kubernetes is introduced as an open-source system for automating deployment and management of containerized applications. IBM Cloud Container Service and IBM Cloud Private are then overviewed as platforms that combine Docker and Kubernetes to enable deployment of containerized applications on IBM Cloud infrastructure.

The material for IBM Edge 2016 session for Spectrum Container Management Solution. https://www-01.ibm.com/events/global/edge/sessions/. Please refer to http://ibm.biz/ConductorForContainers for more details about Spectrum Conductor for Containers. Please refer to https://www.youtube.com/watch?v=7YMjP6EypqA and https://www.youtube.com/watch?v=d9oVPU3rwhE for the demo of Spectrum Conductor for Containers.

Manage microservices on Kubernetes using the open source Istio service mesh from IBM, Google, and Lyft. In this presentation we explore the overall value and architecture of Istio and walk through key mechanisms for using Istio to drive highly secure microservices. We will also demonstrate the various features of Istio showing how to intelligently load balance traffic between services, conduct A/B tests, release canaries, and more.