Introduction to Kubernetes

Sep 28, 20162 likes2,685 views

Presentation by Ross Kukulinski at the Philadelphia Docker Meetup on September 27, 2016. This talk will introduce Kubernetes, the industry standard system for automatic deployment, scaling, and management of containerized applications. We'll walk through key concepts and you will learn how to deploy a multi-tier application to Kubernetes in 10 minutes.

September 27, 2016
Introduction to Kubernetes
Ross Kukulinski
@RossKukulinski

©2016 NodeSource @RossKukulinski
Welcome
2
Ross Kukulinski
Product Manager @ NodeSource
Node.js Evangelism WG
Introduction to CoreOS - O’Reilly Media

©2016 NodeSource @RossKukulinski3
Welcome
Today’s Roadmap
• Container Orchestration
• Kubernetes 101
• DEMO FOR THE DEMO GODS

©2016 NodeSource @RossKukulinski
Container Orchestration
5

©2016 NodeSource @RossKukulinski6
If your architecture looks like this
Manage your containers
with Ansible, Docker
Swarm, ECS, etc.

©2016 NodeSource @RossKukulinski7
If your architecture looks like this
You need orchestration help

©2016 NodeSource @RossKukulinski8
Orchestration Overview
Container Orchestration
• Schedule containers to physical machines
• Restart containers if they stop
• Provide private container network
• Scale up and down
• Service discovery

©2016 NodeSource @RossKukulinski
Kubernetes 101
9

©2016 NodeSource @RossKukulinski
Kubernetes is an open
source system for
automating deployment,
scaling, and management of
containerized applications
Kubernetes 101
10

©2016 NodeSource @RossKukulinski11
Kubernetes 101
Kubernetes Orchestration
• Schedules containers to physical machines
• Service discovery & load balancing
• Horizontal application scaling
• Automated rollouts & rollbacks
• Secret and configuration management
• Storage orchestration
• … and a whole lot more!

©2016 NodeSource @RossKukulinski
Kubernetes Nomenclature
12

©2016 NodeSource @RossKukulinski13
Kubernetes 101
Terminology - Nodes
• Is a worker machine in Kubernetes
• Node may be a VM or a physical machine
• Each Node has the services necessary to run Pods

©2016 NodeSource @RossKukulinski14
Kubernetes 101
Terminology - Pods
• Smallest deployable units of computing
• Group of one or more containers
• Containers within Pod share a cluster-accessible IP
address (and localhost)
• Containers within a Pod have access to shared
volumes

©2016 NodeSource @RossKukulinski15
Kubernetes 101
Terminology - Replica Sets
• Ensures that a specified number of Pod “replicas”
are running at one time
• If there are too many, it will kill some Pods
• If there are too few, it will start more

©2016 NodeSource @RossKukulinski16
Kubernetes 101
Terminology - Deployments
• Provides declarative updates for Pods/Replica Sets
• Manages one or more Replica Sets
• Primary mechanism for interacting with Pods!
• Automated rollouts and rollbacks :)

©2016 NodeSource @RossKukulinski17
Kubernetes 101
Terminology - Services
• An abstraction which defines a logical set of Pods
• Provides a mechanism for accessing them
• 3 Types: ClusterIP, NodePort, LoadBalancer

©2016 NodeSource @RossKukulinski
Let’s play with Kubernetes
right now!
18

©2016 NodeSource @RossKukulinski
github.com/rosskukulinski/docker-philly
19

Thank you.
Ross Kukulinski
ross@nodesource.com
@RossKukulinski

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From the Philly Kubernetes December 2016 Meetup. https://www.meetup.com/Kubernetes-Philly/events/234829676/ Kubernetes accelerates technical and business innovation through rapid development and deployment of applications. Learn how to deploy, scale, and manage your applications in a containerized environments using Kubernetes. In this 60-minute workshop, Ross Kukulinski will review fundamental Kubernetes concepts and architecture and then will show how to containerize and deploy a multi-tier web application to Kubernetes. Topics that will be covered include: • Working with the Kubernetes CLI (kubectl) • Pods, Deployments, & Services • Manual & Automated Application Scaling • Troubleshooting and debugging • Persistent storage

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Cloud native applications are popular these days – applications that run in the cloud reliably und scale almost arbitrarily. They follow three key principles: they are built and composed as micro services. They are packaged and distributed in containers. The containers are executed dynamically in the cloud. Kubernetes is an open-source cluster manager for the automated deployment, scaling and management of cloud native applications. In this hands-on session we will introduce the core concepts of Kubernetes and then show how to build, package and operate a cloud native showcase application on top of Kubernetes step-by-step. Throughout this session we will be using an off-the-shelf MIDI controller to demonstrate and visualize the concepts and to remote control Kubernetes. This session has been presented at the ContainerCon Europe 2016 in Berlin. #qaware #cloudnativenerd #LinuxCon #ContainerCon

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This document provides an overview of Kubernetes including: 1) Kubernetes is an open-source platform for automating deployment, scaling, and operations of containerized applications. It provides container-centric infrastructure and allows for quickly deploying and scaling applications. 2) The main components of Kubernetes include Pods (groups of containers), Services (abstract access to pods), ReplicationControllers (maintain pod replicas), and a master node running key components like etcd, API server, scheduler, and controller manager. 3) The document demonstrates getting started with Kubernetes by enabling the master on one node and a worker on another node, then deploying and exposing a sample nginx application across the cluster.

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Kubernetes can run application containers on clusters of physical or virtual machines. It can also do much more than that. Kubernetes satisfies a number of common needs of applications running in production, such as co-locating helper processes, mounting storage systems, distributing secrets, application health checking, replicating application instances, horizontal auto-scaling, load balancing, rolling updates, and resource monitoring. However, even though Kubernetes provides a lot of functionality, there are always new scenarios that would benefit from new features. Ad hoc orchestration that is acceptable initially often requires robust automation at scale. Application-specific workflows can be streamlined to accelerate developer velocity. This is why Kubernetes was also designed to serve as a platform for building an ecosystem of components and tools to make it easier to deploy, scale, and manage applications. The Kubernetes control plane is built upon the same APIs that are available to developers and users, implementing resilient control loops that continuously drive the current state towards the desired state. This design has enabled Apache Stratos and a number of other Platform as a Service and Continuous Integration and Deployment systems to build atop Kubernetes. This presentation introduces Kubernetes’s core primitives, shows how some of its better known features are built on them, and introduces some of the new capabilities that are being added.

Kubernetes 101Jacopo Nardiello

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Kubernetes intro public - kubernetes meetup 4-21-2015Rohit Jnagal

This document introduces Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It was developed at Google based on their 15+ years of running production workloads in containers. Kubernetes can manage applications running on virtual machines, bare metal, public or private cloud providers. It uses a declarative model where users specify the desired state and Kubernetes ensures the actual state matches it. Key concepts include pods, replication controllers, services, labels/selectors, and monitoring/logging addons.

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This document provides an overview of Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It describes basic Kubernetes components like pods, replication controllers, services, deployments, and replica sets. It explains how Kubernetes is used to group and schedule containers, maintain desired pod counts, update applications seamlessly with rolling updates, and more. The document also notes Kubernetes was inspired by Google's internal container systems and can manage applications across cloud and bare-metal environments.

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An Introduction to KubernetesImesh Gunaratne

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.

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The document summarizes an introductory workshop on Node.js. It outlines the schedule, which includes an overview of Node.js, hands-on exercises, and pair programming lessons. The workshop aims to teach attendees what Node.js is, how its non-blocking and event-driven model works, and prepare them for future learning. It also discusses why JavaScript and its features make it well-suited for Node.js' asynchronous programming approach.

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Ross Kukulinski gave a presentation on building a SaaS application with Node.js, Docker, and CoreOS. He discussed how using Docker and CoreOS helped his company achieve goals like running multiple app versions consistently across environments, minimizing devops work. Docker allows building portable apps that run anywhere, while CoreOS is a Linux designed for massive server deployments using automated updates and Docker containers. It provides tools for fault tolerance, scalability and service discovery. Kukulinski then provided tips on Dockerizing Node apps, using Docker Compose, booting CoreOS clusters, monitoring with CoreGI and continuous deployment with Paz.

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This document summarizes Ross Kukulinski's talk on shipping Node.js applications with Docker and CoreOS. The talk covered their company's use of Docker and CoreOS to run Node.js applications, the benefits of Docker and CoreOS, and tips for using Docker registries, developing locally with CoreOS, monitoring, service discovery, and load balancing with CoreOS. Resources for learning more about Docker, CoreOS, and deploying applications with them were also provided.

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This document summarizes and compares several popular logging libraries for Node.js including winston, bunyan, node-rlog, log.js, and log4js-node. It notes that winston supports multiple transports including CouchDB, MongoDB, Loggly, Riak, file streams, and email but has suboptimal log rotation. Bunyan uses JSON messages, streams, and improved log rotation and also includes a DTrace provider. Other libraries mentioned include node-rlog for Riak, log.js for simple streaming, and log4js-node. Popular destinations for logs are listed as files, databases, services, and streaming.

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Introduction to Kubernetes

1. September 27, 2016 Introduction to Kubernetes Ross Kukulinski @RossKukulinski

8. ©2016 NodeSource @RossKukulinski8 Orchestration Overview Container Orchestration • Schedule containers to physical machines • Restart containers if they stop • Provide private container network • Scale up and down • Service discovery

11. ©2016 NodeSource @RossKukulinski11 Kubernetes 101 Kubernetes Orchestration • Schedules containers to physical machines • Service discovery & load balancing • Horizontal application scaling • Automated rollouts & rollbacks • Secret and configuration management • Storage orchestration • … and a whole lot more!

13. ©2016 NodeSource @RossKukulinski13 Kubernetes 101 Terminology - Nodes • Is a worker machine in Kubernetes • Node may be a VM or a physical machine • Each Node has the services necessary to run Pods

14. ©2016 NodeSource @RossKukulinski14 Kubernetes 101 Terminology - Pods • Smallest deployable units of computing • Group of one or more containers • Containers within Pod share a cluster-accessible IP address (and localhost) • Containers within a Pod have access to shared volumes

15. ©2016 NodeSource @RossKukulinski15 Kubernetes 101 Terminology - Replica Sets • Ensures that a specified number of Pod “replicas” are running at one time • If there are too many, it will kill some Pods • If there are too few, it will start more

16. ©2016 NodeSource @RossKukulinski16 Kubernetes 101 Terminology - Deployments • Provides declarative updates for Pods/Replica Sets • Manages one or more Replica Sets • Primary mechanism for interacting with Pods! • Automated rollouts and rollbacks :)

17. ©2016 NodeSource @RossKukulinski17 Kubernetes 101 Terminology - Services • An abstraction which defines a logical set of Pods • Provides a mechanism for accessing them • 3 Types: ClusterIP, NodePort, LoadBalancer

20. Thank you. Ross Kukulinski [email protected] @RossKukulinski

Introduction to Kubernetes

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