The talk was presented at OSCONF 2020 Hyderabad Virtual event, where I have discussed about CNCF sandbox project KubeVirt and its adoption into Cloud-Native ecosystem
KubeVirt (Kubernetes and Cloud Native Toronto)Stephen Gordon
KubeVirt enables running virtual machines alongside containers on Kubernetes clusters. It allows virtual machines to be scheduled and managed just like containers. KubeVirt focuses on enabling existing virtualized workloads to run on Kubernetes and integrates features like storage, networking, metrics, and monitoring. Example use cases include starting with a virtual machine, building new services on VMs and containers together, and decomposing existing virtualized workloads.
Kubernetes: A Short Introduction (2019)Megan O'Keefe
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.
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.
If you’re working with just a few containers, managing them isn't too complicated. But what if you have hundreds or thousands? Think about having to handle multiple upgrades for each container, keeping track of container and node state, available resources, and more. That’s where Kubernetes comes in. Kubernetes is an open source container management platform that helps you run containers at scale. This talk will cover Kubernetes components and show how to run applications on it.
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.
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.
Mass Migrate Virtual Machines to Kubevirt with Tool Forklift 2.0Konveyor Community
There are 6Rs that can help you have Cloud-native workloads running in your Kubernetes deployments: Refactor, Replatform, Rehost, Retire, Retain or Repurchase.
Rehosting virtual machines provides less friction than others, while still providing some advantages.
One of those advantages being that you can have workloads you don't want to or cannot containerize yet sit alongside your containers through KubeVirt.
In this meetup, we'll show you how Forklift 2.0 makes it easy to move them to their new home. And explain why this is a small step for your workloads but a giant leap on your path to the cloud.
Presenters: Miguel Pérez Colino, Senior Principal Product Manager & Fabien Dupont, Manager, Software Engineering & Senior Principal Engineer.
YouTube recording: https://youtu.be/-w4Afj5-0_g
KubeVirt (Kubernetes and Cloud Native Toronto)Stephen Gordon
KubeVirt enables running virtual machines alongside containers on Kubernetes clusters. It allows virtual machines to be scheduled and managed just like containers. KubeVirt focuses on enabling existing virtualized workloads to run on Kubernetes and integrates features like storage, networking, metrics, and monitoring. Example use cases include starting with a virtual machine, building new services on VMs and containers together, and decomposing existing virtualized workloads.
Kubernetes: A Short Introduction (2019)Megan O'Keefe
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.
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.
If you’re working with just a few containers, managing them isn't too complicated. But what if you have hundreds or thousands? Think about having to handle multiple upgrades for each container, keeping track of container and node state, available resources, and more. That’s where Kubernetes comes in. Kubernetes is an open source container management platform that helps you run containers at scale. This talk will cover Kubernetes components and show how to run applications on it.
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.
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.
Mass Migrate Virtual Machines to Kubevirt with Tool Forklift 2.0Konveyor Community
There are 6Rs that can help you have Cloud-native workloads running in your Kubernetes deployments: Refactor, Replatform, Rehost, Retire, Retain or Repurchase.
Rehosting virtual machines provides less friction than others, while still providing some advantages.
One of those advantages being that you can have workloads you don't want to or cannot containerize yet sit alongside your containers through KubeVirt.
In this meetup, we'll show you how Forklift 2.0 makes it easy to move them to their new home. And explain why this is a small step for your workloads but a giant leap on your path to the cloud.
Presenters: Miguel Pérez Colino, Senior Principal Product Manager & Fabien Dupont, Manager, Software Engineering & Senior Principal Engineer.
YouTube recording: https://youtu.be/-w4Afj5-0_g
In this session, we will discuss the architecture of a Kubernetes cluster. we will go through all the master and worker components of a kubernetes cluster. We will also discuss the basic terminology of Kubernetes cluster such as Pods, Deployments, Service etc. We will also cover networking inside Kuberneets. In the end, we will discuss options available for the setup of a Kubernetes cluster.
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.
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.
Kubernetes for Beginners: An Introductory GuideBytemark
Kubernetes is an open-source tool for managing containerized workloads and services. It allows for deploying, maintaining, and scaling applications across clusters of servers. Kubernetes operates at the container level to automate tasks like deployment, availability, and load balancing. It uses a master-slave architecture with a master node controlling multiple worker nodes that host application pods, which are groups of containers that share resources. Kubernetes provides benefits like self-healing, high availability, simplified maintenance, and automatic scaling of containerized applications.
This is a hands-on lab to introduce you to CCE and DevCloud on Huawei Cloud to build a DevSecOps Platform.
Jirayut Nimsaeng
Founder & CEO
Opsta (Thailand) Co., Ltd.
HUAWEI CONNECT 2022 Bangkok: Hands-on Lab
September 21, 2022
This document outlines an upcoming presentation on Kubernetes autoscaling and load balancing. The presentation will cover setting up pod and node autoscaling in Kubernetes, load balancing Kubernetes pods using services, and provide use cases for how network operators can take advantage of Kubernetes' scaling and load balancing capabilities for workloads like network operations, AIOps, and 5G functions. The agenda includes introductions to Kubernetes, networking models, capacity planning, horizontal pod and node autoscaling, and load balancing within pods using services.
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.
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 Concepts And Architecture Powerpoint Presentation SlidesSlideTeam
The document provides an overview of Kubernetes concepts and architecture. It begins with an introduction to containers and microservices architecture. It then discusses what Kubernetes is and why organizations should use it. The remainder of the document outlines Kubernetes components, nodes, development processes, networking, and security measures. It provides descriptions and diagrams explaining key aspects of Kubernetes such as architecture, components like Kubelet and Kubectl, node types, and networking models.
This document provides an overview of Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It describes Kubernetes' architecture including nodes, pods, replication controllers, services, and networking. It also discusses how to set up Kubernetes environments using Minikube or kubeadm and get started deploying pods and services.
This presentation will introduce you to Container, Docker, Kubernetes, and Google Kubernetes Engine (GKE) with a live demo. This also explains Kubernetes basic concepts such as Pod, Deployment, Service, Ingress, and Rolling Update.
See the recorded session on Facebook live here (min 46.49):
https://www.facebook.com/gdgcloudkl/videos/1013942759041907
There's also recorded session on Youtube here (min 46.49):
https://www.youtube.com/watch?v=ht0ynVjkDcI
GDG Cloud KL July Webinar on July 12, 2020
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 Kubernetes including:
- Kubernetes is an open source system for managing containerized applications and services across clusters of hosts. It provides tools to deploy, maintain, and scale applications.
- Kubernetes objects include pods, services, deployments, jobs, and others to define application components and how they relate.
- The Kubernetes architecture consists of a control plane running on the master including the API server, scheduler and controller manager. Nodes run the kubelet and kube-proxy to manage pods and services.
- Kubernetes can be deployed on AWS using tools like CloudFormation templates to automate cluster creation and management for high availability and scalability.
** 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
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, a container orchestration system. It begins with background on Docker containers and orchestration tools prior to Kubernetes. It then covers key Kubernetes concepts including pods, labels, replication controllers, and services. Pods are the basic deployable unit in Kubernetes, while replication controllers ensure a specified number of pods are running. Services provide discovery and load balancing for pods. The document demonstrates how Kubernetes can be used to scale, upgrade, and rollback deployments through replication controllers and services.
This document provides an introduction and overview of Kubernetes for deploying and managing containerized applications at scale. It discusses Kubernetes' key features like self-healing, dynamic scaling, networking and efficient resource usage. It then demonstrates setting up a Kubernetes cluster on AWS and deploying a sample application using pods, deployments and services. While Kubernetes provides many benefits, the document notes it requires battle-testing to be production-ready and other topics like logging, monitoring and custom autoscaling solutions would need separate discussions.
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)
OSDC 2019 | KubeVirt: Converge IT infrastructure into one single Kubernetes p...NETWAYS
We will dive into KubeVirt and see how we could create and manage VMs in Kubernetes In this session we will talk about what is KubeVirt and how it works on a kubernetes platform. KubeVirt allows users to create and manage virtual machines within a Kubernetes Cluster.
This session will be covering the following topics:
KubeVirt Installation
Basic KubeVirt objects and components
How to deploy and manage virtual machines
KubeVirt Storage
KubeVirt Networking
Benefits :
Kubernetes is a well established container platform, but migrating applications/services to containers is not always easy. KubeVirt allows in such situations to migrate virtual machine based workloads to the same platform where the containers are already running, thus helping converge IT Infrastructure into one single platform, Kubernetes.
In this session, we will discuss the architecture of a Kubernetes cluster. we will go through all the master and worker components of a kubernetes cluster. We will also discuss the basic terminology of Kubernetes cluster such as Pods, Deployments, Service etc. We will also cover networking inside Kuberneets. In the end, we will discuss options available for the setup of a Kubernetes cluster.
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.
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.
Kubernetes for Beginners: An Introductory GuideBytemark
Kubernetes is an open-source tool for managing containerized workloads and services. It allows for deploying, maintaining, and scaling applications across clusters of servers. Kubernetes operates at the container level to automate tasks like deployment, availability, and load balancing. It uses a master-slave architecture with a master node controlling multiple worker nodes that host application pods, which are groups of containers that share resources. Kubernetes provides benefits like self-healing, high availability, simplified maintenance, and automatic scaling of containerized applications.
This is a hands-on lab to introduce you to CCE and DevCloud on Huawei Cloud to build a DevSecOps Platform.
Jirayut Nimsaeng
Founder & CEO
Opsta (Thailand) Co., Ltd.
HUAWEI CONNECT 2022 Bangkok: Hands-on Lab
September 21, 2022
This document outlines an upcoming presentation on Kubernetes autoscaling and load balancing. The presentation will cover setting up pod and node autoscaling in Kubernetes, load balancing Kubernetes pods using services, and provide use cases for how network operators can take advantage of Kubernetes' scaling and load balancing capabilities for workloads like network operations, AIOps, and 5G functions. The agenda includes introductions to Kubernetes, networking models, capacity planning, horizontal pod and node autoscaling, and load balancing within pods using services.
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.
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 Concepts And Architecture Powerpoint Presentation SlidesSlideTeam
The document provides an overview of Kubernetes concepts and architecture. It begins with an introduction to containers and microservices architecture. It then discusses what Kubernetes is and why organizations should use it. The remainder of the document outlines Kubernetes components, nodes, development processes, networking, and security measures. It provides descriptions and diagrams explaining key aspects of Kubernetes such as architecture, components like Kubelet and Kubectl, node types, and networking models.
This document provides an overview of Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It describes Kubernetes' architecture including nodes, pods, replication controllers, services, and networking. It also discusses how to set up Kubernetes environments using Minikube or kubeadm and get started deploying pods and services.
This presentation will introduce you to Container, Docker, Kubernetes, and Google Kubernetes Engine (GKE) with a live demo. This also explains Kubernetes basic concepts such as Pod, Deployment, Service, Ingress, and Rolling Update.
See the recorded session on Facebook live here (min 46.49):
https://www.facebook.com/gdgcloudkl/videos/1013942759041907
There's also recorded session on Youtube here (min 46.49):
https://www.youtube.com/watch?v=ht0ynVjkDcI
GDG Cloud KL July Webinar on July 12, 2020
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 Kubernetes including:
- Kubernetes is an open source system for managing containerized applications and services across clusters of hosts. It provides tools to deploy, maintain, and scale applications.
- Kubernetes objects include pods, services, deployments, jobs, and others to define application components and how they relate.
- The Kubernetes architecture consists of a control plane running on the master including the API server, scheduler and controller manager. Nodes run the kubelet and kube-proxy to manage pods and services.
- Kubernetes can be deployed on AWS using tools like CloudFormation templates to automate cluster creation and management for high availability and scalability.
** 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
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, a container orchestration system. It begins with background on Docker containers and orchestration tools prior to Kubernetes. It then covers key Kubernetes concepts including pods, labels, replication controllers, and services. Pods are the basic deployable unit in Kubernetes, while replication controllers ensure a specified number of pods are running. Services provide discovery and load balancing for pods. The document demonstrates how Kubernetes can be used to scale, upgrade, and rollback deployments through replication controllers and services.
This document provides an introduction and overview of Kubernetes for deploying and managing containerized applications at scale. It discusses Kubernetes' key features like self-healing, dynamic scaling, networking and efficient resource usage. It then demonstrates setting up a Kubernetes cluster on AWS and deploying a sample application using pods, deployments and services. While Kubernetes provides many benefits, the document notes it requires battle-testing to be production-ready and other topics like logging, monitoring and custom autoscaling solutions would need separate discussions.
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)
OSDC 2019 | KubeVirt: Converge IT infrastructure into one single Kubernetes p...NETWAYS
We will dive into KubeVirt and see how we could create and manage VMs in Kubernetes In this session we will talk about what is KubeVirt and how it works on a kubernetes platform. KubeVirt allows users to create and manage virtual machines within a Kubernetes Cluster.
This session will be covering the following topics:
KubeVirt Installation
Basic KubeVirt objects and components
How to deploy and manage virtual machines
KubeVirt Storage
KubeVirt Networking
Benefits :
Kubernetes is a well established container platform, but migrating applications/services to containers is not always easy. KubeVirt allows in such situations to migrate virtual machine based workloads to the same platform where the containers are already running, thus helping converge IT Infrastructure into one single platform, Kubernetes.
Toronto RHUG: Container-native virtualizationStephen Gordon
November 2018 presentation covering Container-native virtualization, enabling OpenShift/Kubernetes as a common platform for application containers and virtual machines.
IRJET- Container Live Migration using Docker Checkpoint and RestoreIRJET Journal
This document discusses container live migration using Docker checkpoint and restore. It begins with an abstract that introduces container-based virtualization and how containers can be migrated between host machines. It then discusses experimental setup using Docker to containerize applications like RYU SDN Controller and Mininet, and using CRIU to checkpoint container state and restore containers on the same or different host. The document provides background on containers and container platforms like Docker and LXC. It discusses container orchestrators like Kubernetes and Docker Swarm for managing multiple containers. It concludes by noting how containers have less overhead than virtual machines for deployment.
Multi-Cloud Orchestration for Kubernetes with CloudifyCloudify Community
This presentation details Cloudify's Kubernetes plugin as well as Kubernetes Provider, offering complete integration with K8s and delivering multi-cloud container-based orchestration.
Multi-Cloud Orchestration for Kubernetes with Cloudify - Webinar PresentationCloudify Community
Watch the webinar at:
http://cloudify.co/webinars/multi-cloud-orchestration-kubernetes
Tune in as we unveil the new capabilities for maximizing use of Kubernetes with the new Cloudify Kubernetes Plugin, and the new Cloudify Kubernetes provider. Using Kubernetes with Cloudify has never been easier or more powerful, as you can now easily provision workloads on both cloud based VM’s and containers, or have total control and flexibility by using Cloudify as a Kubernetes IaaS.
Container orchestration engine for automating deployment, scaling, and management of containerized applications.
What are Microservices?
What is container?
What is Containerization?
What is Docker?
1. CNCF kubernetes meetup - Ondrej SikaJuraj Hantak
Kubernetes is a production-grade container orchestration system that abstracts away the underlying hardware infrastructure. It deploys and manages containerized applications and services through declarative configurations that define the desired state. Kubernetes can run on various cloud and on-premise infrastructure and is not tied to any specific vendor. It is useful for organizations that need high availability, manage many applications on servers, and want to easily deploy Dockerized workloads without worrying about infrastructure management. Core concepts in Kubernetes include Pods, Deployments, Services, Namespaces, and various cluster components like the API server, scheduler, and kubelet that ensure the actual cluster state matches the desired configurations.
This document provides an overview of Kubernetes concepts including:
- Kubernetes architecture with masters running control plane components like the API server, scheduler, and controller manager, and nodes running pods and node agents.
- Key Kubernetes objects like pods, services, deployments, statefulsets, jobs and cronjobs that define and manage workloads.
- Networking concepts like services for service discovery, and ingress for external access.
- Storage with volumes, persistentvolumes, persistentvolumeclaims and storageclasses.
- Configuration with configmaps and secrets.
- Authentication and authorization using roles, rolebindings and serviceaccounts.
It also discusses Kubernetes installation with minikube, and common networking and deployment
Modern Cloud-Native Streaming Platforms: Event Streaming Microservices with K...confluent
Microservices, events, containers, and orchestrators are dominating our vernacular today. As operations teams adapt to support these technologies in production, cloud-native platforms like Cloud Foundry and Kubernetes have quickly risen to serve as force multipliers of automation, productivity and value. Kafka is providing developers a critically important component as they build and modernize applications to cloud-native architecture. This talk will explore:
• Why cloud-native platforms and why run Kafka on Kubernetes?
• What kind of workloads are best suited for this combination?
• Tips to determine the path forward for legacy monoliths in your application portfolio
• Running Kafka as a Streaming Platform on Container Orchestration
Serverless is a good pattern when it comes to saving infrastructure resources: why should you run apps when there’s nothing to do? The open source project Knative is often used to run functions as serverless apps in Kubernetes clusters.
In this talk, you’ll see how to leverage Knative for Kubernetes apps, not only functions. Check out how to apply serverless patterns to an existing Spring Boot / Nodejs app (backend / frontend) with a live demo.
Recent momentum around the evolution of Containers are gradually increase in last two years.Containers virtualize an OS and applications running in each container believe that they have full access to their very own copy of that OS. This is analogous to what VMs do when they virtualize at a lower level, the hardware. In the case of containers, it’s the OS that does the virtualization and maintains the illusion.
Recent past many software companies have quickly adopted container technologies, including Docker Containers, aware of the threat and advantage of the approach. For example, Linux companies have also jumped into the ground, seeing as this as an opportunity to grow the Linux market. Also Microsoft is going to add features to support containers and VMware have made efforts in integrating support for Docker into virtual machine technology.
Recent momentum around the evolution of Containers are gradually increase in last two years.Containers virtualize an OS and applications running in each container believe that they have full access to their very own copy of that OS. This is analogous to what VMs do when they virtualize at a lower level, the hardware. In the case of containers, it’s the OS that does the virtualization and maintains the illusion.
Recent past many software companies have quickly adopted container technologies, including Docker Containers, aware of the threat and advantage of the approach. For example, Linux companies have also jumped into the ground, seeing as this as an opportunity to grow the Linux market. Also Microsoft is going to add features to support containers and VMware have made efforts in integrating support for Docker into virtual machine technology.
This document provides an overview of Kubernetes and how it compares to VMware technologies. It begins with an analogy that containers are to operating systems what virtual machines are to server hardware. It then discusses how Kubernetes orchestrates multiple containers across nodes by splitting applications into smaller services. The remainder of the document discusses key Kubernetes concepts like pods, replica sets, deployments and services. It provides a mapping of how Kubernetes concepts compare to VMware concepts like vCenter and vSphere hosts. It also discusses considerations for installing Kubernetes and operating it at scale.
This Knolx session discusses how stateless and stateful applications can be deployed over Kubernetes using Stateful Sets. In the demo, we see how requirements for stateful services could be met and how Cassandra, a stateful service could be started over Kubernetes
Andrea Tosatto - Kubernetes Beyond - Codemotion Milan 2017Codemotion
As in the Star Trek Beyond movie, which the title of this talk tries to recall, we will present how Kubernetes can be extended beyond containers using Custom Resource Definitions (CRD) to schedule custom tasks and resources or bring Kubernetes automation to the next level. During the presentation we will go deep into the concept of Operator and provide some useful examples of application of this pattern to, i.e., the automated scaling of Services.
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.
Recent momentum around the evolution of Containers are gradually increase in last two years.Containers virtualize an OS and applications running in each container believe that they have full access to their very own copy of that OS. This is analogous to what VMs do when they virtualize at a lower level, the hardware. In the case of containers, it’s the OS that does the virtualization and maintains the illusion.
Containers aren't just for stateless apps. You might have mission-critical stateful applications like MySQL, Kafka, or Cassandra databases that you want to run in containers as well. Sahil Sawhney gave an overview on how both; stateless and stateful services could be deployed over Kubernetes with ease thus reducing the service management efforts and making the scaling more manageable.
This pdf walks you through, the application of Stateful Sets and Operators and how they work internally to ensure state maintenance over the K8 cluster
Similar to Turning Virtual Machines Cloud-Native using KubeVirt (20)
You have completed the GitLab 101 Certification course and are now certified. Suman Chakraborty finished the course and received an official certification from GitLab. Friends at GitLab congratulated Suman on this achievement in 2020.
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2. The Story So Far ……………….
…. How we manage existing infra workloads
CONTAINER INFRASTRUCTURE AND ORCHESTRATION
Container Application and orchestration as provided by Kubernetes and other
managed service providers such as OpenShift, Rancher are becoming the standard for
new applications.
VIRTUALIZED WORKLOADS
Virtualized Workloads are not going anywhere fast! Business reasons (cost, time to
market) and technical reasons (older/different operating system). Can be supported
on IaaS providers Vmware, OpenStack, BareMetal…
CONVERGING INFRASTRUCTURE
How can we bring these two worlds closer together? 😐
3. How to run Containers and VMs side by
side? … the solution
4. Introducing KubeVirt
Turn Kubernetes into a single orchestrator for containers and virtual machines.
Started in 2016 at Red Hat
Open sourced in January 2017
https://github.com/kubevirt/kubevirt
Accepted into CNCF Sandbox 2019
Apache 2.0 License
6. Why KubeVirt ?
Growing velocity behind Kubernetes and surrounding ecosystem for new
applications.
Reality that users will be dealing with virtual machine workloads for many
years to come
Focus on building transition paths for users with workloads that will either
never be containerized :
Technical reasons (e.g. older operating system or kernel)
Business reasons (e.g. time to market, cost of conversion)
7. KubeVirt Features
Virtual machines run in Pods using the existing container runtimes
Virtual machines are managed using a custom “Kubernetes like” declarative
API (CustomResourceDefinitions)
Integration with cluster level features:
Storage, network, services, etc.
Integration with node level features:
CPUManager, multi-network, huge pages, etc.
Focus on ease of use and a kubernetes-native look, feel, and behavior – We
run same commands to manage pods and virtual machines together
8. KubeVirt Components
virt-api-server
- serves as the entry point to kubevirt for all virtualisation related flows
and updates the virtualization related custom resource definition (CRD)
- take care of validating and defining the VM configs and actions in CRDS
9. virt-launcher
- Uses libvirtd to manage the life-cycle process of VM.
- Takes care of managing volumes and container networking
- Provides cgroups and namespaces, which will be used to host the VMI process
10. Virt-controller
- responsible for monitoring the VMI (CRDs) and managing the life-cycle of
associated pods
- is a virtualmachine controller that take care of the VirtualMachineInstance,
managing VMGroups
11. virt-handler
- is a DaemonSet and act as minion node
- watches for changes of VMI object, does a state reconciliation
- provide update on the VM status, restart, stop processes.
- Report domain state and spec changes to the cluster and invoke node-centric
plugins that fulfils networking and storage requirements defined in VMI specs
14. .... KubeVirt Use Cases
To run Virtual Machines to support new development
- Leverage Kubernetes-based developer flows while bringing in these VM-
based dependencies
To run Virtual Machines to support applications that can’t lift and shift
- Vendors with appliances (customer kernels, custom kmods, optimized
workflows to build appliances, …) they want to bring to the cloud-native
ecosystem
To run Virtual Network Functions (VNFs) and other virtual appliances
- VNFs in the context of Kubernetes are of continued interest, in parallel to
Cloud-Native Network Function exploration