DevOps with Kubernetes

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.

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.

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

An in depth overview of Kubernetes and it's various components. NOTE: This is a fixed version of a previous presentation (a draft was uploaded with some errors)

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.

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. Its main components include a master node that manages the cluster and worker nodes that run the applications. It uses labels to organize resources and selectors to group related objects. Common concepts include pods, services for discovery/load balancing, replica controllers for scaling, and namespaces for isolation. It provides mechanisms for configuration, storage, security, and networking out of the box to ensure containers can run reliably and be easily managed at scale.

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.

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

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.

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.

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.

Kubernetes is an open-source system for managing containerized applications across multiple hosts. It includes key components like Pods, Services, ReplicationControllers, and a master node for managing the cluster. The master maintains state using etcd and schedules containers on worker nodes, while nodes run the kubelet daemon to manage Pods and their containers. Kubernetes handles tasks like replication, rollouts, and health checking through its API objects.

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 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.

This document discusses containerization and the Docker ecosystem. It provides a brief history of containerization technologies and an overview of Docker components like Docker Engine, Docker Hub, and Docker Inc. It also discusses developing with Docker through concepts like Dockerfiles, images, and Fig for running multi-container apps. More advanced topics covered include linking containers, volumes, Docker Machine for provisioning, and clustering with Swarm and Kubernetes.

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.

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

Overview of kubernetes and its use as a DevOps cluster management framework. Problems with deployment via kube-up.sh and improving kubernetes on AWS via custom cloud formation template.

Kubernetes is an open-source platform for automating deployment, scaling, and operations of containerized applications. It provides tools to deploy containers across clusters of hosts, provide mechanisms for load-balancing, monitor health, and update containers. Kubernetes adds functionality to Docker by managing Docker hosts and containers at scale. It uses abstractions like pods, replica sets, deployments, services and ingresses to declaratively define application components and expose them using NodePorts, LoadBalancers or Ingresses. Users can interact with Kubernetes using kubectl to deploy and manage applications on the cluster.

Self-healing does not equal self-healing. There are multiple layers to it, whether a self-healing infrastructure, cluster, pods, or Kubernetes. Kubernetes itself ensures self-healing pods. But how do you ensure your applications, whose reliability depends on every single layer, are truly reliable? In this presentation we discuss aspects of reliability and self-healing in the different layers of a comprehensive container management stack; what Kubernetes does and doesn't do (at least not by default), and what you should look out for to ensure true reliable applications.

Self-healing does not equal self-healing. There are multiple layers to it, whether a self-healing infrastructure, cluster, pods, or Kubernetes. Kubernetes itself ensures self-healing pods. But how do you ensure your applications, whose reliability depends on every single layer, are truly reliable? This presentation covers the different self-healing layers, what Kubernetes does and doesn't do (at least not by default), and what you should look out for to ensure true reliable applications. Hint: infrastructure provisioning plays a key role.

How to establish Kubernetes as your infrastructure for a truly cloud native environment for optimal productivity and cost. Using Kublr for infrastructure as code approach for fast, reliable and inexpensive production-ready DevOps environment setup bringing together a combination of technologies - Kubernetes; AWS Mixed Instance Policies, Spot Instances and availability zones; AWS EFS; Nexus and Jenkins. Best practices based on open source tools such as Nexus and Jenkins. How to tackle build process dilemmas and difficulties including managing dependencies, hermetic builds and build scripts.

This document provides steps to set up a Kubernetes cluster on AWS using KOPS. It describes installing required tools like kubectl and KOPS, creating an SSH key and Route53 host on AWS, generating a Kubernetes cluster across multiple Availability Zones, and exposing sample applications. Finally, it covers deleting the cluster.

Kubernetes provides logical abstractions for deploying and managing containerized applications across a cluster. The main concepts include pods (groups of containers), controllers that ensure desired pod states are maintained, services for exposing pods, and deployments for updating replicated pods. Kubernetes allows defining pod specifications that include containers, volumes, probes, restart policies, and more. Controllers like replica sets ensure the desired number of pod replicas are running. Services provide discovery of pods through labels and load balancing. Deployments are used to declaratively define and rollout updates to replicated applications.

- AKS best practices discusses cluster isolation and resource management, storage, networking, network policies, securing the environment, scaling applications and clusters, and logging and monitoring for AKS clusters. - It provides an overview of the different Kubernetes offerings in Azure (DIY, ACS Engine, and AKS), and recommends using at least 3 nodes for upgrades when using persistent volumes. - The document discusses various AKS networking configurations like basic networking, advanced networking using Azure CNI, internal load balancers, ingress controllers, and network policies. It also covers cluster level security topics like IAM with AAD and RBAC.

The document provides an overview of Azure Kubernetes Service (AKS) including: - AKS simplifies deployment, management, scaling and monitoring of containerized applications on Kubernetes. - AKS uses a master-worker node architecture with master nodes managing the cluster state and worker nodes running application containers. - Key AKS concepts include clusters, pods, deployments, replica sets, and services. - The AKS architecture includes etcd, kube-apiserver, controller manager, kube-scheduler and cloud controller manager on the master node, and kubelet, container runtime and kube-proxy on worker nodes. - Applications can be deployed to AKS through Kubernetes manifest

Kubernetes is an open-source platform for managing containerized applications across multiple hosts. It provides tools for deployment, scaling, and management of containers. Kubernetes handles tasks like scheduling containers on nodes, scaling resources, applying security policies, and monitoring applications. It ensures containers are running and if not, restarts them automatically.

OpenStack is an open source cloud computing platform that consists of several components including Keystone for identity, Glance for images, Nova for compute, Cinder for block storage, and Quantum for networking. The document provides an overview of each component, describing their main functions and how they interact through messaging queues like RabbitMQ. It also describes the original "Nova networking" approach and how Quantum improved on this by decoupling logical and physical networking and providing plugins to support technologies like Open vSwitch.

This is my Introduction to Kubernetes and Overview of the Kubernetes Conformance Certification Program talk presented at OpenSource101 Raleigh on Feb 17, 2018

The document provides an overview of Kubernetes and OpenStack. It includes an agenda that covers topics like containers, orchestration, Kubernetes architecture, components and concepts like pods, replication controllers, and namespaces over 4 days of training. Background information is provided on containers, Docker, and orchestration. Examples are given of defining pods and services using YAML files in Kubernetes.

Containers are changing the compute landscape and for NFVi support of Containers is key. Kubernetes is a well known Container Cluster Management software and this is slide deck from a talk given in Opendaylight Summit 2016. This slide gives an insight about Microservice architecture, Kuberentes and how it can be integrated with ODL. Session Video can be found at https://www.youtube.com/watch?v=a4_pkp2qiX8&list=PL8F5jrwEpGAiRCzJIyboA8Di3_TAjTT-2

Kubernetes is an open-source container orchestration system that automates deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes services handle load balancing, networking, and execution of containers across a cluster of nodes. It addresses challenges in managing containers at scale through features like deployment and rolling update of containers, self-healing, resource allocation and monitoring.

This document provides an overview of containers, Kubernetes, and their key concepts. It discusses how Kubernetes manages containerized applications across clusters and abstracts away infrastructure details. The main components of Kubernetes include Pods (groups of tightly-coupled containers), ReplicationControllers (manages Pod replicas), Services (expose Pods to external traffic), and Namespaces (logical isolation of clusters). Kubernetes architecture separates the control plane running on the master from the nodes that run container workloads.