Microservices at scale with docker and kubernetes - AMS JUG 2017

Today Kubernetes is mostly employed in single tenant deployment, either private cloud, or as a COE on top of IaaS. By leveraging virtualized container like Hyper, Kubernetes will be the core of multi-tenant Container-as-a-Service. This talk will present Hypernetes, a secure Kubernetes distro focusing on the public container hosting service. Sched Link: http://sched.co/6BYD

KubeCon 2015 talk about SoundCloud's container runtime environment history and a few highlighted reasons to migrate to Kubernetes.

Big companies like Google containerize theirs environments for easier maintaining, scaling, and reliability. This talk gives an introduction how to build such an environment and maintain applications written in distinct programming languages. The container orchestration is done with Kubernetes by Google and Docker containers. For mass deployment CoreOS is used.

This document discusses scaling Docker containers using Kubernetes and Azure Container Service. It begins with an introduction to containers and Docker, including how containers improve dependency and configuration management. It then demonstrates building and deploying containerized applications using Docker and discusses how to optimize Docker images. Finally, it introduces Kubernetes as a tool for orchestrating containers at scale and provides an example of deploying a containerized application on Kubernetes in Azure.

Docker and Kubernetes provide tools for deploying and managing applications in containers. Docker allows packaging applications into containers that can be run on any Linux machine. Kubernetes provides a platform for automating deployment, scaling, and management of containerized applications. It groups related containers that make up an application into logical units called pods and provides mechanisms for service discovery, load balancing, and configuration management across a cluster. Many cloud providers now offer managed Kubernetes services to deploy and run containerized applications on their infrastructure.

- Archeology: before and without Kubernetes - Deployment: kube-up, DCOS, GKE - Core Architecture: the apiserver, the kubelet and the scheduler - Compute Model: the pod, the service and the controller

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.

Docker's lightweight containers can quickly launch more containers when needed and then shut them down easily when they're no longer needed. Also it gets easier to make lots of small changes instead of huge, big bang updates that leads to reduced risk but more uptime. Saying that huge number of micro services leads to increase in complexity of the application deployment, orchestration and monitoring in production. Apache Stratos is a Platform as a Service (PaaS) integrated with Docker, CoreOS, Kubernetes gives more powerful single tool kit for container orchestration, monitoring, autoscaling and auto healing support. Smart policies and IaaS agnostic support provide capability of runs containers in almost every popular public and private clouds. This session included installing and deploying sample applications using Docker,CoreOS and Kubernetes and a demonstration of app deployment, provisioning, auto-scaling, and more.

Hybrid and multicloud deployments are critical approaches for bridging the gap between legacy and modern architectures. Sandeep Parikh discusses common patterns for creating scalable cross-environment deployments using Kubernetes and explores best practices and repeatable patterns for leveraging Kubernetes as a consistent abstraction layer across multiple environments.

Kubernetes is an open-source system for managing containerized applications and services. It includes a master node that runs control plane components like the API server, scheduler, and controller manager. Worker nodes run the kubelet service and pods. Pods are the basic building blocks that can contain one or more containers. Labels are used to identify and select pods. Replication controllers ensure a specified number of pod replicas are running. Services define a logical set of pods and associated policy for access. They are exposed via cluster IP addresses or externally using load balancers.

This document discusses the top 5 metrics to monitor in Kubernetes applications. It identifies 5 layers to monitor: 1) the application layer, 2) the services layer, 3) the Kubernetes deployment layer, 4) the Kubernetes internals layer, and 5) the host/node layer. For each layer, it provides example metrics and thresholds to monitor to check that layer is performing as expected. The overall document provides guidance on monitoring all aspects of a Kubernetes application from the application and services down through the underlying Kubernetes infrastructure and hosts.

A basic introductory slide set on Kubernetes: What does Kubernetes do, what does Kubernetes not do, which terms are used (Containers, Pods, Services, Replica Sets, Deployments, etc...) and how basic interaction with a Kubernetes cluster is done.

This document discusses deploying WSO2 middleware on Kubernetes. It provides an overview of Kubernetes architecture and components, and how various Kubernetes features like pods, replication controllers, services, and overlay networking are used. It also describes WSO2 Docker images, Carbon reference architectures for Kubernetes, and the deployment workflow. Monitoring of Kubernetes cluster health using tools like cAdvisor, Heapster, Grafana and InfluxDB is also covered briefly.

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.

Kubespray and Ansible can be used to automate the installation of Kubernetes in a production-ready environment. Kubespray provides tools to configure highly available Kubernetes clusters across multiple Linux distributions. Ansible is an IT automation tool that can deploy software and configure systems. The document then provides a 6 step guide for installing Kubernetes on Ubuntu using kubeadm, including installing Docker, kubeadm, kubelet and kubectl, disabling swap, configuring system parameters, initializing the cluster with kubeadm, and joining nodes. It also briefly explains Kubernetes architecture including the master node, worker nodes, addons, CNI, CRI, CSI and key concepts like pods, deployments, networking,

This document provides an overview of Kubernetes concepts including architecture, fundamental objects like pods and services, and demonstrations. It begins with an agenda then covers Kubernetes architecture including the master node, worker nodes, and control loop. It describes core objects like pods, replica sets, deployments, services, and labels/selectors. The document demonstrates deploying and accessing the guestbook application using these objects. It concludes with asking for questions and describing goals for educational meetups on cloud native technologies.

A small introduction to get started on Kubernetes as a user. This explains the main concepts like pod, deployment and services and gives some hints to help you use kubectl command. These slides were presented in Grenoble Docker meetup in November 2017.

An RSVP app designed to be deployed by the dockers on the Kubernetes Minikube Cluster. Front end with flask framework and MongoDB as a backend database. Youtube video:https://youtu.be/KnjnQj-FvfQ