This presentation is to help you understand https://kubernetes.io/docs/tutorials/stateful-application/zookeeper/ without having to read all the concepts in a number of Kubernetes documents.
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.
Kubernetes is an open source container orchestration system that automates the deployment, maintenance, and scaling of containerized applications. It groups related containers into logical units called pods and handles scheduling pods onto nodes in a compute cluster while ensuring their desired state is maintained. Kubernetes uses concepts like labels and pods to organize containers that make up an application for easy management and discovery.
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.
OpenShift Virtualization allows running virtual machines as containers managed by Kubernetes. It uses KVM with QEMU and libvirt to run virtual machines inside containers. Virtual machines are scheduled and managed like pods through Kubernetes APIs and can access container networking and storage. Templates can be used to simplify virtual machine creation and configuration. Virtual machines can be imported, viewed, managed, and deleted through the OpenShift console and CLI like other Kubernetes resources. Metrics on virtual machine resources usage are also collected.
An Architectural Deep Dive With Kubernetes And Containers Powerpoint Presenta...SlideTeam
Introducing An Architectural Deep Dive With Kubernetes And Containers PowerPoint Presentation Slides. Present the need for the containers in an organization with the help of a readily available PPT slideshow. Discuss container architecture, use cases details to make your presentation elaborative. Showcase the features, architecture, installation roadmap, and the 30-60-90 day plan in Kubernetes with the help of modern-designed PPT infographics. Familiarize your viewers with the various components of Kubernetes with the help of content-ready Kubernetes Docker PPT visuals. Make full use of high-quality icons to make your presentation attention-grabbing and meaningful. Compare and contrast Kubernetes with docker swarm based on various parameters with the help of this attention-grabbing PPT slideshow. Elaborate on Kubelet, Kubectl, and Kubeadm with the help of labeled diagrams. Showcase the networking model of Kubernetes, security measures, and the development process with this easy-to-use docker Architecture PowerPoint template. Therefore, hit the download button now to grab this amazing presentation. https://bit.ly/3vtLeFb
Kubernetes dealing with storage and persistenceJanakiram MSV
Storage is a critical part of running containers, and Kubernetes offers some powerful primitives for managing it. This webinar discusses various strategies for adding persistence to the containerised workloads.
Everything You Need To Know About Persistent Storage in KubernetesThe {code} Team
This document discusses Kubernetes persistent storage options for stateful applications. It covers common use cases that require persistence like databases, messaging systems, and content management systems. It then describes Kubernetes persistent volume (PV), persistent volume claim (PVC), and storage class objects that are used to provision and consume persistent storage. Finally, it compares deployments with statefulsets and covers other volume types like emptyDir, hostPath, daemonsets and their use cases.
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
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.
Kubernetes is an open source container orchestration system that automates the deployment, maintenance, and scaling of containerized applications. It groups related containers into logical units called pods and handles scheduling pods onto nodes in a compute cluster while ensuring their desired state is maintained. Kubernetes uses concepts like labels and pods to organize containers that make up an application for easy management and discovery.
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.
OpenShift Virtualization allows running virtual machines as containers managed by Kubernetes. It uses KVM with QEMU and libvirt to run virtual machines inside containers. Virtual machines are scheduled and managed like pods through Kubernetes APIs and can access container networking and storage. Templates can be used to simplify virtual machine creation and configuration. Virtual machines can be imported, viewed, managed, and deleted through the OpenShift console and CLI like other Kubernetes resources. Metrics on virtual machine resources usage are also collected.
An Architectural Deep Dive With Kubernetes And Containers Powerpoint Presenta...SlideTeam
Introducing An Architectural Deep Dive With Kubernetes And Containers PowerPoint Presentation Slides. Present the need for the containers in an organization with the help of a readily available PPT slideshow. Discuss container architecture, use cases details to make your presentation elaborative. Showcase the features, architecture, installation roadmap, and the 30-60-90 day plan in Kubernetes with the help of modern-designed PPT infographics. Familiarize your viewers with the various components of Kubernetes with the help of content-ready Kubernetes Docker PPT visuals. Make full use of high-quality icons to make your presentation attention-grabbing and meaningful. Compare and contrast Kubernetes with docker swarm based on various parameters with the help of this attention-grabbing PPT slideshow. Elaborate on Kubelet, Kubectl, and Kubeadm with the help of labeled diagrams. Showcase the networking model of Kubernetes, security measures, and the development process with this easy-to-use docker Architecture PowerPoint template. Therefore, hit the download button now to grab this amazing presentation. https://bit.ly/3vtLeFb
Kubernetes dealing with storage and persistenceJanakiram MSV
Storage is a critical part of running containers, and Kubernetes offers some powerful primitives for managing it. This webinar discusses various strategies for adding persistence to the containerised workloads.
Everything You Need To Know About Persistent Storage in KubernetesThe {code} Team
This document discusses Kubernetes persistent storage options for stateful applications. It covers common use cases that require persistence like databases, messaging systems, and content management systems. It then describes Kubernetes persistent volume (PV), persistent volume claim (PVC), and storage class objects that are used to provision and consume persistent storage. Finally, it compares deployments with statefulsets and covers other volume types like emptyDir, hostPath, daemonsets and their use cases.
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
Hands-On Introduction to Kubernetes at LISA17Ryan Jarvinen
This document provides an agenda and instructions for a hands-on introduction to Kubernetes tutorial. The tutorial will cover Kubernetes basics like pods, services, deployments and replica sets. It includes steps for setting up a local Kubernetes environment using Minikube and demonstrates features like rolling updates, rollbacks and self-healing. Attendees will learn how to develop container-based applications locally with Kubernetes and deploy changes to preview them before promoting to production.
Persistent Storage with Containers with Kubernetes & OpenShiftRed Hat Events
Manually configuring mounts for containers to various network storage platforms and services is tedious and time consuming. OpenShift and Kubernetes provides a rich library of volume plugins that allow authors of containerized applications (Pods) to declaratively specify what the storage requirements for the containers are so that OpenShift can dynamically provision and allocate the storage assets for the specified containers. As the author of the Kubernetes Persistent Volume specification, I will provide an overview of how Persistent Volume plugins work in OpenShift, demo block storage and file storage volume plugins and close with the Red Hat storage roadmap.
Presented at LinuxCon/ContainerCon by Mark Turansky, Principal Software Engineer, Red Hat
Mark Turansky is a Principal Software Engineer at Red Hat and a full-time contributor to the Kubernetes Project. Mark is the author of the Kubernetes Persistent Volume specification and a member of the Red Hat OpenShift Engineering team.
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.
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.
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.
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.
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.
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.
Introduction of Kubernetes - Trang NguyenTrang Nguyen
This presentation provides the basic concepts of the Kubernetes for Beginners.
1) Introduction of Kubernetes
Before Kubernetes
What is Kubernetes
What Kubernetes can do?
What Kubernetes can't do?
Features of Kubernetes
Kubernetes Architecture
Kubernetes vs Docker Swarm
Kubernetes 7 use cases
...
2) Kubernetes Component
What is Kubelet?
What is Kubectl?
What is Kubeadm?
3) Nodes in Kubernetes
What is a node in Kubernetes?
Master node
Worker node
4) Kubernetes Development Process
What is blue green deployment?
How to automate the deployment?
5) Networking in Kubernetes
Kubernetes networking model
Ingress networking in Kubernetes
6) Security Measures in Kubernetes
Best security measures in Kubernetes
- What is Kubernetes
- Why we need Kubernetes
- Demo how to deploy application on Kubernetes
Jirayut Nimsaeng
Founder & CEO
Opsta (Thailand) Co., Ltd.
Facebook Record: https://www.facebook.com/ThaiProgrammerSociety/videos/1908659749331066
Coder Live with Thai Programmer Association
June 6, 2022
Kubernetes is an open-source platform for managing containerized workloads and services that provides capabilities like scheduling, self-healing, rollouts and rollbacks. Rancher Labs provides Rancher, which is an orchestration and management tool that adds features like multi-cloud support, global load balancing, backup/restore and a catalog for deploying applications on Kubernetes clusters. The document discusses Kubernetes concepts and practices and how Rancher extends Kubernetes with additional capabilities through its web UI and integration with tools like Helm, Istio and AWS.
[Paris Container Day 2021] nerdctl: yet another Docker & Docker Compose imple...Akihiro Suda
nerdctl is a Docker-compatible CLI for containerd that provides the same UI/UX as Docker and Docker Compose. It supports features like lazy pulling via Stargz and encrypted images via OCIcrypt that are not yet available in Docker. While containerd includes ctr and crictl for debugging, nerdctl aims to be a full-featured CLI for container and image management with Docker-like usability. It can run on Linux, macOS via Lima virtual machines, and is working on native Windows support.
Kubernetes is an open-source container management platform. It has a master-node architecture with control plane components like the API server on the master and node components like kubelet and kube-proxy on nodes. Kubernetes uses pods as the basic building block, which can contain one or more containers. Services provide discovery and load balancing for pods. Deployments manage pods and replicasets and provide declarative updates. Key concepts include volumes for persistent storage, namespaces for tenant isolation, labels for object tagging, and selector matching.
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. Kubernetes masters manage worker nodes, and pods which are the basic building blocks, containing one or more containers. It provides self-healing, horizontal pod autoscaling, service discovery, load balancing, configuration management.
This document provides an overview of Kubernetes basics. It introduces Kubernetes as an open source container orchestration tool developed by Google to manage the lifecycle of containers. It describes common Kubernetes concepts like pods, deployments, services, and how to install Kubernetes on local, on-premise and cloud environments. It also covers important topics for production use such as health checks, resource restrictions, logging, monitoring and alerts.
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 Certification Training: https://www.edureka.co/kubernetes-certification **
This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session:
1. What is Kubernetes
2. Features of Kubernetes
3. Kubernetes Architecture and Its Components
4. Components of Master Node and Worker Node
5. ETCD
6. Network Setup Requirements
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Production Ready Kafka on Kubernetes (Devandra Tagare, Lyft) Kafka Summit SF ...confluent
Getting Kafka running on Kubernetes is only step one of a journey to create a production-ready Kafka cluster. This talk walks through the other steps: 1) Monitoring and remediating faults. 2) Updates to Kubernetes nodes for clusters not using shared storage. 3) Automating Kafka updates and restarts. We present how to create fault-tolerant Kafka clusters on Kubernetes without sacrificing availability, durability, or latency. Learn about Lyft's overlay-free Kubernetes networking driver and how we use it to keep performance on par with non-Kubernetes clusters.
An Introduction to Kubernetes and Continuous Delivery FundamentalsAll Things Open
Presented at All Things Open RTP Meetup
Presented by Brad Topol
Title: An Introduction to Kubernetes and Continuous Delivery Fundamentals
Abstract: Kubernetes is a cloud infrastructure that has emerged as the de facto standard platform for managing, orchestrating, and provisioning container-based cloud native computing applications. Cloud native computing applications are built from a collection of smaller services and take advantage of the speed of development and scalability cloud computing environments provide. In this talk, we provide an overview of the fundamentals of Kubernetes. We begin with a short introduction to the concept of containers and describe the Kubernetes architecture. We then present several core features provided by Kubernetes such as Pods, ReplicaSets, Deployments, Service objects, and autoscaling capabilities. We conclude with a discussion of Kubernetes continuous delivery fundamentals and tools, including how to do small batch changes, source control, and developer access to production-like environments.
Hands-On Introduction to Kubernetes at LISA17Ryan Jarvinen
This document provides an agenda and instructions for a hands-on introduction to Kubernetes tutorial. The tutorial will cover Kubernetes basics like pods, services, deployments and replica sets. It includes steps for setting up a local Kubernetes environment using Minikube and demonstrates features like rolling updates, rollbacks and self-healing. Attendees will learn how to develop container-based applications locally with Kubernetes and deploy changes to preview them before promoting to production.
Persistent Storage with Containers with Kubernetes & OpenShiftRed Hat Events
Manually configuring mounts for containers to various network storage platforms and services is tedious and time consuming. OpenShift and Kubernetes provides a rich library of volume plugins that allow authors of containerized applications (Pods) to declaratively specify what the storage requirements for the containers are so that OpenShift can dynamically provision and allocate the storage assets for the specified containers. As the author of the Kubernetes Persistent Volume specification, I will provide an overview of how Persistent Volume plugins work in OpenShift, demo block storage and file storage volume plugins and close with the Red Hat storage roadmap.
Presented at LinuxCon/ContainerCon by Mark Turansky, Principal Software Engineer, Red Hat
Mark Turansky is a Principal Software Engineer at Red Hat and a full-time contributor to the Kubernetes Project. Mark is the author of the Kubernetes Persistent Volume specification and a member of the Red Hat OpenShift Engineering team.
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.
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.
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.
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.
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.
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.
Introduction of Kubernetes - Trang NguyenTrang Nguyen
This presentation provides the basic concepts of the Kubernetes for Beginners.
1) Introduction of Kubernetes
Before Kubernetes
What is Kubernetes
What Kubernetes can do?
What Kubernetes can't do?
Features of Kubernetes
Kubernetes Architecture
Kubernetes vs Docker Swarm
Kubernetes 7 use cases
...
2) Kubernetes Component
What is Kubelet?
What is Kubectl?
What is Kubeadm?
3) Nodes in Kubernetes
What is a node in Kubernetes?
Master node
Worker node
4) Kubernetes Development Process
What is blue green deployment?
How to automate the deployment?
5) Networking in Kubernetes
Kubernetes networking model
Ingress networking in Kubernetes
6) Security Measures in Kubernetes
Best security measures in Kubernetes
- What is Kubernetes
- Why we need Kubernetes
- Demo how to deploy application on Kubernetes
Jirayut Nimsaeng
Founder & CEO
Opsta (Thailand) Co., Ltd.
Facebook Record: https://www.facebook.com/ThaiProgrammerSociety/videos/1908659749331066
Coder Live with Thai Programmer Association
June 6, 2022
Kubernetes is an open-source platform for managing containerized workloads and services that provides capabilities like scheduling, self-healing, rollouts and rollbacks. Rancher Labs provides Rancher, which is an orchestration and management tool that adds features like multi-cloud support, global load balancing, backup/restore and a catalog for deploying applications on Kubernetes clusters. The document discusses Kubernetes concepts and practices and how Rancher extends Kubernetes with additional capabilities through its web UI and integration with tools like Helm, Istio and AWS.
[Paris Container Day 2021] nerdctl: yet another Docker & Docker Compose imple...Akihiro Suda
nerdctl is a Docker-compatible CLI for containerd that provides the same UI/UX as Docker and Docker Compose. It supports features like lazy pulling via Stargz and encrypted images via OCIcrypt that are not yet available in Docker. While containerd includes ctr and crictl for debugging, nerdctl aims to be a full-featured CLI for container and image management with Docker-like usability. It can run on Linux, macOS via Lima virtual machines, and is working on native Windows support.
Kubernetes is an open-source container management platform. It has a master-node architecture with control plane components like the API server on the master and node components like kubelet and kube-proxy on nodes. Kubernetes uses pods as the basic building block, which can contain one or more containers. Services provide discovery and load balancing for pods. Deployments manage pods and replicasets and provide declarative updates. Key concepts include volumes for persistent storage, namespaces for tenant isolation, labels for object tagging, and selector matching.
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. Kubernetes masters manage worker nodes, and pods which are the basic building blocks, containing one or more containers. It provides self-healing, horizontal pod autoscaling, service discovery, load balancing, configuration management.
This document provides an overview of Kubernetes basics. It introduces Kubernetes as an open source container orchestration tool developed by Google to manage the lifecycle of containers. It describes common Kubernetes concepts like pods, deployments, services, and how to install Kubernetes on local, on-premise and cloud environments. It also covers important topics for production use such as health checks, resource restrictions, logging, monitoring and alerts.
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 Certification Training: https://www.edureka.co/kubernetes-certification **
This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session:
1. What is Kubernetes
2. Features of Kubernetes
3. Kubernetes Architecture and Its Components
4. Components of Master Node and Worker Node
5. ETCD
6. Network Setup Requirements
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Production Ready Kafka on Kubernetes (Devandra Tagare, Lyft) Kafka Summit SF ...confluent
Getting Kafka running on Kubernetes is only step one of a journey to create a production-ready Kafka cluster. This talk walks through the other steps: 1) Monitoring and remediating faults. 2) Updates to Kubernetes nodes for clusters not using shared storage. 3) Automating Kafka updates and restarts. We present how to create fault-tolerant Kafka clusters on Kubernetes without sacrificing availability, durability, or latency. Learn about Lyft's overlay-free Kubernetes networking driver and how we use it to keep performance on par with non-Kubernetes clusters.
An Introduction to Kubernetes and Continuous Delivery FundamentalsAll Things Open
Presented at All Things Open RTP Meetup
Presented by Brad Topol
Title: An Introduction to Kubernetes and Continuous Delivery Fundamentals
Abstract: Kubernetes is a cloud infrastructure that has emerged as the de facto standard platform for managing, orchestrating, and provisioning container-based cloud native computing applications. Cloud native computing applications are built from a collection of smaller services and take advantage of the speed of development and scalability cloud computing environments provide. In this talk, we provide an overview of the fundamentals of Kubernetes. We begin with a short introduction to the concept of containers and describe the Kubernetes architecture. We then present several core features provided by Kubernetes such as Pods, ReplicaSets, Deployments, Service objects, and autoscaling capabilities. We conclude with a discussion of Kubernetes continuous delivery fundamentals and tools, including how to do small batch changes, source control, and developer access to production-like environments.
Running Kafka On Kubernetes With Strimzi For Real-Time Streaming ApplicationsLightbend
In this talk by Sean Glover, Principal Engineer at Lightbend, we will review how the Strimzi Kafka Operator, a supported technology in Lightbend Platform, makes many operational tasks in Kafka easy, such as the initial deployment and updates of a Kafka and ZooKeeper cluster.
See the blog post containing the YouTube video here: https://www.lightbend.com/blog/running-kafka-on-kubernetes-with-strimzi-for-real-time-streaming-applications
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.
The document provides an overview of containers and Kubernetes. It discusses the need for containers due to microservices and infrastructure as code. It then covers technical details of containers like Dockerfiles, images, and registries. It also discusses Kubernetes and its components like kube-apiserver, etcd, and kubelet. Finally, it covers Kubernetes concepts like pods, services, deployments, and how they are configured.
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.
A brief study on Kubernetes and its componentsRamit Surana
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions. Using the concepts of "labels" and "pods", it groups the containers which make up an application into logical units for easy management and discovery.
This document provides information about a hackathon being held by Zenko and Tanker. It includes:
1) Details about the prizes for 1st, 2nd, and 3rd place which are a Parrot Mambo drone, Arduino kit, and OTHA projector.
2) Logistics for the event being held at 42 Paris from October 20-November 10 with an introduction to Zenko and Tanker on the 20th and project deployment demonstrations.
3) A list of 7 potential project ideas for teams of 2-4 people including adding MongoDB or Backblaze backend support to Zenko or using Tanker for encrypted storage.
Presented at All Thing Open RTP Meetup
Presented by Brent Laster
Abstract: Kubernetes is the leading way to run and manage your containerized workloads across any cloud or on-premises environment. It provides an automated, reliable way to execute the services, deployments, etc. that make up your application. But what happens when running those doesn’t go as you’d expect, or the system isn’t happy with what you’re trying to get to run? How do you figure out what’s going wrong, track down the root causes, figure out a solution, and get things working again?
In this hands-on three-hour workshop, we’ll look at some basic and advanced ways to debug problems that you may run into with Kubernetes. You’ll learn techniques from basic ways to zero in on root cause to log analysis to using advanced tools such as creating your own debug containers. Armed with these skills, you’ll be in a position to deal with day-to-day issues with running workloads in Kubernetes and keep them from becoming disruptions and/or show-stoppers.
StatefulSet is used to run PostgreSQL pods across Kubernetes nodes for high availability. When a pod fails, StatefulSet will restart the pod on the same node. However, if the entire node fails, the PostgreSQL pod will not failover to another node by default. To manually failover the pod, it needs to be force deleted and it will restart on a different ready node. However, manual failovers are not recommended for production use.
Deploying Kafka Streams Applications with Docker and Kubernetesconfluent
(Gwen Shapira + Matthias J. Sax, Confluent) Kafka Summit SF 2018
Kafka Streams, Apache Kafka’s stream processing library, allows developers to build sophisticated stateful stream processing applications which you can deploy in an environment of your choice. Kafka Streams is not only scalable, but fully elastic allowing for dynamic scale-in and scale-out as the library handles state migration transparently in the background. By running Kafka Streams applications on Kubernetes, you will be able to use Kubernetes powerful control plane to standardize and simplify the application management—from deployment to dynamic scaling.
In this technical deep dive, we’ll explain the internals of dynamic scaling and state migration in Kafka Streams. We’ll then show, with a live demo, how a Kafka Streams application can run in a Docker container on Kubernetes and the dynamic scaling of an application running in Kubernetes.
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.
Kubernetes can orchestrate and manage container workloads through components like Pods, Deployments, DaemonSets, and StatefulSets. It schedules containers across a cluster based on resource needs and availability. Services enable discovery and network access to Pods, while ConfigMaps and Secrets allow injecting configuration and credentials into applications.
Metal-k8s presentation by Julien Girardin @ Paris Kubernetes MeetupLaure Vergeron
Julien Girardin presents metal-k8s, an opinionated Kubernetes distribution designed for bare-metal deployments. Julien explains why we chose certain Kubespray plugins over others for Zenko's needs of scalability and petabyte-scale storage over multiple public and private clouds.
Reduce Resource Consumption & Clone in Seconds your Oracle Virtual Environmen...BertrandDrouvot
Bertrand Drouvot will present how to minimize resource consumption on a laptop by using Linux containers (LXC) and the btrfs file system. This allows quickly cloning an Oracle virtual environment, software, and databases in seconds using few disk space. Specific use cases that will be demonstrated include cloning a database software home to apply CPU updates, cloning a database to apply CPU updates, and cloning a PDB. The benefits of using LXC for cloning will also be compared to cloning without LXC.
This document provides an overview of Kubernetes networking concepts including:
- CNI (Container Network Interface) is used to provide networking to Kubernetes pods and allows pod to pod communication without NAT. Popular CNIs include Calico, Cilium, and Flannel.
- Network design considerations for Kubernetes include topology routed, overlay, and hybrid models. The overlay model uses technologies like VXLAN while the hybrid model uses both underlay routing and overlay tunnels.
- Kubernetes services allow pods to be accessed via a single IP or DNS name even as pods are rescheduled. Service types include ClusterIP, NodePort, and LoadBalancer. Ingress exposes HTTP routes to services within the cluster.
-
Christian Kniep presented this deck at the 2016 HPC Advisory Council Switzerland Conference.
"With Docker v1.9 a new networking system was introduced, which allows multi-host network- ing to work out-of-the-box in any Docker environment. This talk provides an introduction on what Docker networking provides, followed by a demo that spins up a full SLURM cluster across multiple machines. The demo is based on QNIBTerminal, a Consul backed set of Docker Images to spin up a broad set of software stacks."
Watch the video presentation:
http://wp.me/p3RLHQ-f7G
See more talks in the Swiss Conference Video Gallery:
http://insidehpc.com/2016-swiss-hpc-conference/
Sign up for our insideHPC Newsletter:
http://insidehpc.com/newsletter
Everything you ever needed to know about Kafka on Kubernetes but were afraid ...HostedbyConfluent
Kubernetes became the de-facto standard for running cloud-native applications. And many users turn to it also to run stateful applications such as Apache Kafka. You can use different tools to deploy Kafka on Kubernetes - write your own YAML files, use Helm Charts, or go for one of the available operators. But there is one thing all of these have in common. You still need very good knowledge of Kubernetes to make sure your Kafka cluster works properly in all situations. This talk will cover different Kubernetes features such as resources, affinity, tolerations, pod disruption budgets, topology spread constraints and more. And it will explain why they are important for Apache Kafka and how to use them. If you are interested in running Kafka on Kubernetes and do not know all of these, this is a talk for you.
Lessons Learned Scaling Stateful Kafka Streams Topologies with Ferran Galí i ...HostedbyConfluent
Kafka Streams is a powerful engine to do stream processing, and its stateful operations have allowed us to implement event-driven architectures in a simple, efficient and productive way. Our use case is about real estate listings websites, and at relatively low volumes of data (few millions) everything worked out of the box. However, when we started scaling things got a bit more difficult: High latency on every rolling-update, topologies eternally in rebalance, write stalls, excessive AWS bills and even losing data. I will explain a bunch of actions we have done that helped us scale our topologies to process hundreds of millions of listings: Use kubernetes StatefulSets, tune RocksDB configurations, use Horizontal Pod Scaling wisely, activate consumer Rack Awareness, and more.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
2. Why we use Kubernetes?
Container-based virtualization + Container orchestration
Satisfying common needs in production
co-locating helper processes
mounting storage systems
distributing secrets
application health checking
replicating application instances
horizontal auto-scaling
naming and discovery
load balancing
rolling updates
resource monitoring
log access and ingestion
...
from a web page from the official site : https://kubernetes.io/docs/whatisk8s/
3. Pod – the basic unit of Kubernetes
• Components
• a group of containers
• docker, rkt (pronounced “rock-it”) from CoreOS, etc
• a group of shared storage called volumes
• ephemeral volume
• persistent volume
• host local directories
• nfs
• iscsi
• flocker
• Google Compute Engine (GCE) Persistent Disk
• Amazon Web Services (AWS) Elastic Block Store (EBS)
• Purpose
• model an application-specific logical host/VM
• Characteristics
• containers in a pod share IP addresses/ports
• containers in a pod can communicate via IPC
Pod
Container
(port : 1234)
Volume
(ephemeral)
Container
(port : 3456)
Container
(port : 5678)
Volume
(persistent)
Containers claim their volumes
ipc
Address : 10.244.1.10localhost:3456
4. Few things to consider when running Zookeeper with Kubernetes
• How to launch Zookeeper servers using a pod?
• How to give IDs to pods?
• What is the domain name of each pod?
• How to make sure a certain # of pods running during maintenance?
Pod
Zookeeper server (leader)
- myid : 1
- server.1
- zk-1:2888:3888
- server.2
- zk-2:2888:3888
- server.3
- zk-3:2888:3888
Zookeeper server
- myid : 2
- server.1
- zk-1:2888:3888
- server.2
- zk-2:2888:3888
- server.3
- zk-3:2888:3888
Zookeeper server
- myid : 3
- server.1
- zk-1:2888:3888
- server.2
- zk-2:2888:3888
- server.3
- zk-3:2888:3888
Kafka server
- broker.id : 1
- zookeeper.connect
- zk-1.zk:2181
- zk-2.zk:2181
- zk-3.zk:2181
Kafka server
- broker.id : 2
- zookeeper.connect
- zk-1.zk:2181
- zk-2.zk:2181
- zk-3.zk:2181
Kafka server
- broker.id : 3
- zookeeper.connect
- zk-1.zk:2181
- zk-2.zk:2181
- zk-3.zk:2181
Zookeeper
servers
(zk)
Kafka
servers
(kk)
Pod Pod
Pod Pod Pod
zk-1 zk-2 zk-3
kk-1 kk-1 kk-1
a majority quorum must be present
5. StatefulSet – a way of launching ordered replicas of a container
zk-0
Containers
Volumes
zk-1
Containers
Volumes
zk-2
Containers
Volumes
The StatefulSet creates 3 pods with ordinals suffixed to pod names,
and guarantees the followings:
pod-0
Containers
Volumes
pod-1
Containers
Volumes
pod-2
Containers
Volumes
pods are created sequentially
pod-0
Containers
Volumes
pod-1
Containers
Volumes
pod-2
Containers
Volumes
pods are deleted in reverse order
pod-0
Containers
Volumes
pod-1
Containers
Volumes
pod-2
Containers
Volumes pod-3
Containers
Volumes
Before a scaling op is applied
all its predecessors must be running
pod-0
Containers
Volumes
pod-1
Containers
Volumes
pod-2
Containers
Volumes
Before a pod is terminated,
all of its successors are shutdown
Each pod is created and scheduled
using this template
Each pod lays its claim to storage
using this template
Create 3 replicas of servers
using the following templates
6. Service (10.111.67.108)
Service – to represent a group of pods with a cluster IP
server-0
Containers
Volumes
server-1
Containers
Volumes
server-2
Containers
Volumes
Q) How to achieve the followings?
• Users must be unaware of the replicas
• Traffic is distributed over the replicas
server-0
Containers
Volumes
server-1
Containers
Volumes
server-2
Containers
Volumes
Let’s say that we have 3 replicas of a pod for load balancing
A) Define a service with a cluster IP.
Then Kubernetes does round-robin forwarding
7. Headless service – service without a common IP
• Zookeeper clients (e.g. Kafka) need to specify the address of each Zookeeper server
• Kubernetes depends on its DNS service for headless services
• Each pod is assigned a domain name from Kubernetes
• Each pod is directly accessed with its domain name (not through a cluster IP)
• Fully Qualified Domain Name (FQDN) format
• $pod.$service.$namespace.svc.cluster.local
Pod
Zookeeper server
- myid : 1
- server.1
- zk-1:2888:3888
- server.2
- zk-2:2888:3888
- server.3
- zk-3:2888:3888
Zookeeper server
- myid : 2
- server.1
- zk-1:2888:3888
- server.2
- zk-2:2888:3888
- server.3
- zk-3:2888:3888
Zookeeper server
- myid : 3
- server.1
- zk-1:2888:3888
- server.2
- zk-2:2888:3888
- server.3
- zk-3:2888:3888
Kafka server
- broker.id : 1
- zookeeper.connect
- zk-1.zk:2181
- zk-2.zk:2181
- zk-3.zk:2181
Kafka server
- broker.id : 2
- zookeeper.connect
- zk-1.zk:2181
- zk-2.zk:2181
- zk-3.zk:2181
Kafka server
- broker.id : 3
- zookeeper.connect
- zk-1.zk:2181
- zk-2.zk:2181
- zk-3.zk:2181
Zookeeper
servers
(zk)
Kafka
servers
(kk)
Pod Pod
Pod Pod Pod
zk-1 zk-2 zk-3
kk-1 kk-1 kk-1
8. Namespace in Kubernetes
zk-0
Containers
Volumes
zk-1
Containers
Volumes
zk-2
Containers
Volumes
Three pods are defined within zk-headless service,
and they are given DNS entries of the following format:
pod.service.namespace.svc.cluster.local
zk-headless service
zk-1:2181 (within service)
zk-1.zk-headless:2181 (within same namespace)
default namespace
kafka service
kk-0
Containers
Volumes
kk-1
Containers
Volumes
kk-2
Containers
Volumes
kk-3
Containers
Volumes
zk-1.zk-headless.default.svc.cluster.local:2181 (from other namespace)
alien namespace
The default namespace is used
as there’s no namespace declaration
9. Pod anti-affinity
This pod should not run in X in which one or more pods that satisfy Y are
running.
- X belongs to topology domain
- node (topologyKey:kubernetes.io/hostname in this example)
- rack
- cloud provider zone
- cloud provider region
- Y is a label selector
- it selects all pods belonging to a service named zk-headless
⇓ debugging hook (a pod pauses until it is set to true)
kube-scheduler is about to schedule pod2 labeled app=zk-headless,
but wants to avoid node3 because there’s pod1 labeled app=zk-headless.
Kubernetes provides pod anti-affinity for this case.
node1 node2 node3
pod1
Containers
Volumes
pod2
Containers
Volumes
app=
zk-headless
kube-
scheduler
app=
zk-headless
10. Files in the container image
• Dockerfile
1. Download the latest Zookeeper tarball
2. Extract and place the content under /opt/zookeeper
3. ln -s /opt/zookeeper/* /usr/bin
• zkGenConfig.sh
1. create zoo.cfg
2. configure log-related properties
3. create data directories
4. set myid extracted from domain name
• ex) zk-0.zk-headless.default.svc.cluster.local 0+1 = 1
• zkOk.sh
• check readiness and liveness of a pod
⇓ it’s from Zookeeper
11. Environmental variables for container processes in a pod
env defines environmental variables
to be used in container processes.
Two ways to assign values
1. value = constant val
2. valueFrom = val from ConfigMap
12. Readiness & liveness check for containers
Kubernetes provides a means of checking
readiness & liveness
13. Kubernetes
How to guarantee a certain # of running pods during maintenance
• Users can define PodDisruptionBudget with minAvailable
• At least two pods from zk must be available at any time
• Below is an example illustrating PodDisruptionBudget
• together with StatefulSet and PodAntiAffinity
node1
zk-0
Containers
Volumes
node2
zk-2
Containers
Volumes
node3
zk-3
Containers
Volumes
Drain node1
Operation is permitted
because allowed-disruptions=1
Kubernetes
Drain node2
3 replicas have to be running
due to StatefulSet,
so try scheduling zk-0
on other nodes!
Oops!
cannot schedule zk-0
on node2 and node3
due to PodAntiAffinity!
Operation not permitted
because allowed-disruptions=0
(Note that minAvailable=2)
Please wait until
node1 is up and zk-0 is rescheduled!
node1
zk-0
Containers
Volumes
node2
zk-2
Containers
Volumes
node3
zk-3
Containers
Volumes
14. Scaling issue with Zookeeper
• Dynamically changing the membership of a replicated distributed system, while
preserving data consistency and system availability, is challenging
• from “Dynamic Reconfiguration of Primary/Backup Clusters” in USENIX ATC 2012
• Prior to Zookeeper 3.5.0 (We use 3.4.9 which is the latest stable version at this point)
• Configuration parameters are loaded during boot
• Configuration parameters are immutable at runtime
• Operators have to carefully restart all daemons
• Starting with Zookeeper 3.5.0,
• Full support for automated configuration changes
• without service interruption while preserving data consistency
• Set of zookeeper servers, roles of servers, all ports, and even quorum systems
* https://zookeeper.apache.org/doc/trunk/zookeeperReconfig.html
15. Scaling up/down a StatefulSet
StatefulSet itself has means to scaling up/down
• kubectl scale statefulset $statefulSetInstanceName --replicas=5
• kubectl patch statefulset $statefulSetInstanceName -p '{"spec":{"replicas":3}}’
16. Topics not covered here
• Detailed architecture of Kubernetes
• https://github.com/kubernetes/community/blob/master/contributors/design-
proposals/architecture.md
• ReplicaSet and Deployment (other than StatefulSet)
• https://kubernetes.io/docs/user-guide/replicasets/
• https://kubernetes.io/docs/user-guide/deployments/
• Persistent Volume and Persistent Volume Claim
• https://kubernetes.io/docs/user-guide/volumes/
• Kubernetes network (Proxy, DNS, etc)
• https://kubernetes.io/docs/admin/networking/
• https://kubernetes.io/docs/admin/dns/