Have you ever thought about migrating your Kubernetes clusters to Google Cloud to get your services closer to your customers? Yes? We too! Join us on an interactive journey to discover the main challenges of live migration at scale of etcd's, traffic routing and application workloads from your on-premise platform to GCP. The talk will discuss the current state of the technical concept, known problems and insides of the already proven migration steps for stateless workload.
As part of the journey, we'll see the differences between migrating one or one hundred clusters with productive workloads; What parts can be automated? What steps may need to be manual? Let's see how an automated solution could look like in the future and what steps are missing.
Kubernetes Cluster API - managing the infrastructure of multi clusters (k8s ...Tobias Schneck
Thanks to tools like kubeadm, Terraform or Ansible setting up a Kubernetes cluster on a dedicated environment is getting reachable, but what’s about setting up a bunch of cluster in multiple clouds in automatic way? This is still a challenge. Also if you want to do same in your own datacenter. In this talk we will take a look to the approach to orchestrate and manage a whole set of k8s cluster by the Cluster API project of kubernetes (a subproject of sig-cluster-lifecycle). The main idea behind it is to use the Kubernetes API itself to manage multiple clusters with there master and worker nodes in same way you would manage your PODs - define the needed resources and the responsible controller will take care for providing it.
After an overview about the concepts of cluster API, I will show what’s needed to implement a cluster API conform machine class/deployment. There I will see that adding your own provider isn’t that hard as you may aspect. At the end of the day it just requires a simple interface to implement. The corresponding kubermatic controllers we implemented at Loodse are available as open source, so its possible to play around with it. A live demo will show how easy it is to spin up and maintain multiple Kubernetes cluster at different public and on-premise cloud providers over one managing cluster. A final wrap up will summarize the current state of the Cluster API project and the advantages of managing clusters as cattles instead of pets.
Thanks to tools like kubeadm, Terraform or Ansible setting up a Kubernetes cluster on a dedicated environment is getting reachable, but what’s about setting up a bunch of cluster in multiple clouds in automatic way? This is still a challenge. Also if you want to do same in your own datacenter. In this talk we will take a look to the approach to orchestrate and manage a whole set of k8s cluster by the Cluster API project of kubernetes (a sub-project of sig-cluster-lifecycle). The main idea behind it is to use the Kubernetes API itself to manage multiple clusters with there master and worker nodes in same way you would manage your PODs - define the needed resources and the responsible controller will take care for providing it.
After an overview about the concepts of cluster API, I will show what’s needed to implement a cluster API conform machine class/deployment. There I will see that adding your own provider isn’t that hard as you may aspect. At the end of the day it just requires a simple interface to implement. The corresponding Kubermatic machine-controller we implemented at Loodse are available as open source, so its possible to play around with it. A live demo will show how easy it is to spin up and maintain multiple Kubernetes cluster at different public and on-premise cloud providers over one managing cluster. A final wrap up will summarize the current state of the Cluster API project and the advantages of managing clusters with CRDs and Controllers instead of stateful scripts.
Helm is a package manager for Kubernetes. It helps streamline installing and managing applications. This session covers prerequisites for Helm, which include a basic understanding of containers and Kubernetes along with its architecture. It also covers the limitations that come with running deployments using the kubectl binary, Helm's architecture, templating with it and finally ends on a note highlighting the difference between versions 2 and 3.
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 Cluster API - managing the infrastructure of multi clusters (k8s ...Tobias Schneck
Thanks to tools like kubeadm, Terraform or Ansible setting up a Kubernetes cluster on a dedicated environment is getting reachable, but what’s about setting up a bunch of cluster in multiple clouds in automatic way? This is still a challenge. Also if you want to do same in your own datacenter. In this talk we will take a look to the approach to orchestrate and manage a whole set of k8s cluster by the Cluster API project of kubernetes (a subproject of sig-cluster-lifecycle). The main idea behind it is to use the Kubernetes API itself to manage multiple clusters with there master and worker nodes in same way you would manage your PODs - define the needed resources and the responsible controller will take care for providing it.
After an overview about the concepts of cluster API, I will show what’s needed to implement a cluster API conform machine class/deployment. There I will see that adding your own provider isn’t that hard as you may aspect. At the end of the day it just requires a simple interface to implement. The corresponding kubermatic controllers we implemented at Loodse are available as open source, so its possible to play around with it. A live demo will show how easy it is to spin up and maintain multiple Kubernetes cluster at different public and on-premise cloud providers over one managing cluster. A final wrap up will summarize the current state of the Cluster API project and the advantages of managing clusters as cattles instead of pets.
Thanks to tools like kubeadm, Terraform or Ansible setting up a Kubernetes cluster on a dedicated environment is getting reachable, but what’s about setting up a bunch of cluster in multiple clouds in automatic way? This is still a challenge. Also if you want to do same in your own datacenter. In this talk we will take a look to the approach to orchestrate and manage a whole set of k8s cluster by the Cluster API project of kubernetes (a sub-project of sig-cluster-lifecycle). The main idea behind it is to use the Kubernetes API itself to manage multiple clusters with there master and worker nodes in same way you would manage your PODs - define the needed resources and the responsible controller will take care for providing it.
After an overview about the concepts of cluster API, I will show what’s needed to implement a cluster API conform machine class/deployment. There I will see that adding your own provider isn’t that hard as you may aspect. At the end of the day it just requires a simple interface to implement. The corresponding Kubermatic machine-controller we implemented at Loodse are available as open source, so its possible to play around with it. A live demo will show how easy it is to spin up and maintain multiple Kubernetes cluster at different public and on-premise cloud providers over one managing cluster. A final wrap up will summarize the current state of the Cluster API project and the advantages of managing clusters with CRDs and Controllers instead of stateful scripts.
Helm is a package manager for Kubernetes. It helps streamline installing and managing applications. This session covers prerequisites for Helm, which include a basic understanding of containers and Kubernetes along with its architecture. It also covers the limitations that come with running deployments using the kubectl binary, Helm's architecture, templating with it and finally ends on a note highlighting the difference between versions 2 and 3.
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 Concepts And Architecture Powerpoint Presentation SlidesSlideTeam
Get these visually appealing Kubernetes Concepts And Architecture PowerPoint Presentation Slides to discuss the process of operating containerized applications. You can display the need for containers by the company with the help of an open-source architecture PPT slideshow. The architecture of containers can be demonstrated with the help of a visually appealing PPT slideshow. The reasons for opting for Kubernetes by an organization can be explained to your teammates with the help of containers PowerPoint infographics. Highlight the roadmap for installing Kubernetes in the organization by using content-ready PPT slides. Take the assistance of visually appealing PPT templates to depict the major advantages of Kubernetes such as improving productivity, the stability of application run, and many more. After that, display 30 60 90 days plan to implement Kubernetes in the organization. Display the key components of Kubernetes with the help of a diagram using this professionally designed cluster architecture PPT layouts. Describe the functionality of each components of Kubernetes. Hence, download Kubernetes architecture PPT slides to easily and efficiently manage the clusters. https://bit.ly/34DWa7x
Kubernetes and Cloud Native Update Q4 2018CloudOps2005
This year’s final set of Kubernetes and Cloud Native meetups just took place. They kicked off in Kitchener-Waterloo on November 29th, and continued in Montreal December 3rd, Ottawa December 4th, Toronto December 5th, and Quebec December 6th. In preparation for the upcoming KubeCon and CloudNativeCon in Seattle, a wide range of open source solutions were discussed and, as always, beer and pizza provided. Ayrat Khayretdinov began each meetup with an update of Kubernetes and the Cloud Native landscape.
** 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
Being a cloud native developer requires learning some new language and new skills like circuit-breakers, canaries, service mesh, linux containers, dark launches, tracers, pods and sidecars. In this session, we will introduce you to cloud native architecture by demonstrating numerous principles and techniques for building and deploying Java microservices via Spring Boot, Wildfly Swarm and Vert.x, while leveraging Istio on Kubernetes with OpenShift.
Securing and Automating Kubernetes with KyvernoSaim Safder
Kyverno is a CNCF Sandbox Project Created by Nirmata.
Kyverno is a policy engine designed for Kubernetes. With Kyverno, policies are managed as Kubernetes resources and no new language is required to write policies. This allows using familiar tools such as kubectl, git, and kustomize to manage policies. Kyverno policies can validate, mutate, and generate Kubernetes resources. The Kyverno CLI can be used to test policies and validate resources as part of a CI/CD pipeline.
In this session Shuting Zhao and Jim Bugwadia, both of whom are Kyverno maintainers will provide an overview of Kyverno and describe how you can get started with using it.
The Operator Pattern - Managing Stateful Services in KubernetesQAware GmbH
Cloud Native Night, January 2018, Mainz: Talk by Jakob Karalus (@krallistic, IT Consultant at codecentric)
Join our Meetup: https://www.meetup.com/de-DE/Cloud-Native-Night
Abstract: While it's easy to deploy stateless application with Kubernetes, it's harder for stateful software. Since applications often require custom functionality that Kubernetes can't provide, developers want to add more specialized patterns like automatic backups, failover or rebalancing to their Kubernetes deployments. In this talk, we will look at the Operator Pattern and other possibilities to extend the functionality of Kubernetes and how to use them to operate stateful applications.
Social Connections 14 - Kubernetes Basics for Connections Adminspanagenda
The product formerly known as IBM Connections pink is deployed on Kubernetes and some other Open Source Tools. Learn the basics of Kubernetes in this session. Deploying additional pods, getting some statistics or find deeper information of the installed stuff to find log files and so on.
Read ebook Kubernetes Cookbook: Building Cloud Native Applications Full Accessillingstabilityb
If your organization is preparing to move toward a cloud-native computing architecture, this cookbook shows you how to successfully use Kubernetes, the de-facto standard for automating the deployment, scaling, and management of containerized applications. With more than 80 proven recipes, developers, system administrators, and architects will quickly learn how to get started with Kubernetes and understand its powerful API.Through the course of the book, authors Sebastien Goasguen and Michael Hausenblas provide several detailed solutions for installing, interacting with, and using Kubernetes in development and production. You'll learn how to adapt the system to your particular needs and become familiar with the wider Kubernetes ecosystem. Each standalone chapter features recipes written in O'Reilly's popular problem-solution-discussion format.Recipes in this cookbook focus on:Creating a Kubernetes clusterUsing the Kubernetes command-line interfaceManaging fundamental workload .
Cloud Native Night, January 2018, Munich: Workshop led by Jörg Schad (@joerg_schad, Technical Lead Community Projects at Mesosphere)
Join our Meetup: https://www.meetup.com/de-DE/cloud-native-muc
PLEASE NOTE: During this workshop, Jörg showed many demos and the audience could participate on their laptops. Unfortunately, we can't provide these demos. Nevertheless, Jörg's slides give a deep dive into the topic.
ABSTRACT: Kubernetes has been one of the topics in 2017 and will probably remain so in 2018. In this hands-on technical workshop you will learn how best to deploy, operate, and scale Kubernetes clusters from one to hundreds of nodes using DC/OS. You will learn how to integrate and run Kubernetes alongside traditional applications and fast data services of your choice (e.g. Apache Cassandra, Apache Kafka, Apache Spark, TensorFlow, and more) on any infrastructure.
This workshop best suits operators focussed on keeping their apps and services up and running in production and developers focussed on quickly delivering internal and customer facing apps into production.
You will learn how to:
- Introduction to Kubernetes and DC/OS (including the differences between both)
- Deploy Kubernetes on DC/OS in a secure, highly available, and fault-tolerant manner
- Solve operational challenges of running a large/multiple Kubernetes cluster
- One-click deploy big data stateful and stateless services alongside a Kubernetes cluster
Mattia Gandolfi - Improving utilization and portability with Containers and C...Codemotion
Google has pioneered the usage of containers at huge scale. Learn how we designed our systems to handle insane traffic loads, orchestrating complex, globally distributed applications, and how you can leverage this infrastructure and our agile development technologies to embrace the power of DevOps and Cloud on our Google Cloud Platform.
Federated mesos clusters for global data center designsKrishna-Kumar
This talk at MesosCon2016 gives a glimpse of how Mesos clusters can be federated across data centers using a specific way. The data in the slide deck is mainly based on the POC result and the actual production implementation may vary.
Salvatore Incandela, Fabio Marinelli - Using Spinnaker to Create a Developmen...Codemotion
Out of the box Kubernetes is an Operations platform which is great for flexibility but creates friction for deploying simple applications. Along comes Spinnaker which allows you to easily create custom workflows for testing, building, and deploying your application on Kubernetes. Salvatore Incandela and Fabio Marinelli will give an introduction to Containers and Kubernetes and the default development/deployment workflows that it enables. They will then show you how you can use Spinnaker to simplify and streamline your workflow and help provide a full #gitops style CI/CD.
Kubernetes on Bare Metal at the Kitchener-Waterloo Kubernetes and Cloud Nativ...CloudOps2005
Charlie Drage discussed Kubernetes on bare metal at last week's Kubernetes and Cloud Native meetup in Kitchener-Waterloo. His presentation demonstrated how to deploy Kubernetes on bare metal servers. Charlie is an active Kubernetes maintainer, and his contributions have included fixing some common issues with bare metal servers and using Ansible to build clusters with kubedm.
Kubernetes Concepts And Architecture Powerpoint Presentation SlidesSlideTeam
Get these visually appealing Kubernetes Concepts And Architecture PowerPoint Presentation Slides to discuss the process of operating containerized applications. You can display the need for containers by the company with the help of an open-source architecture PPT slideshow. The architecture of containers can be demonstrated with the help of a visually appealing PPT slideshow. The reasons for opting for Kubernetes by an organization can be explained to your teammates with the help of containers PowerPoint infographics. Highlight the roadmap for installing Kubernetes in the organization by using content-ready PPT slides. Take the assistance of visually appealing PPT templates to depict the major advantages of Kubernetes such as improving productivity, the stability of application run, and many more. After that, display 30 60 90 days plan to implement Kubernetes in the organization. Display the key components of Kubernetes with the help of a diagram using this professionally designed cluster architecture PPT layouts. Describe the functionality of each components of Kubernetes. Hence, download Kubernetes architecture PPT slides to easily and efficiently manage the clusters. https://bit.ly/34DWa7x
Kubernetes and Cloud Native Update Q4 2018CloudOps2005
This year’s final set of Kubernetes and Cloud Native meetups just took place. They kicked off in Kitchener-Waterloo on November 29th, and continued in Montreal December 3rd, Ottawa December 4th, Toronto December 5th, and Quebec December 6th. In preparation for the upcoming KubeCon and CloudNativeCon in Seattle, a wide range of open source solutions were discussed and, as always, beer and pizza provided. Ayrat Khayretdinov began each meetup with an update of Kubernetes and the Cloud Native landscape.
** 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
Being a cloud native developer requires learning some new language and new skills like circuit-breakers, canaries, service mesh, linux containers, dark launches, tracers, pods and sidecars. In this session, we will introduce you to cloud native architecture by demonstrating numerous principles and techniques for building and deploying Java microservices via Spring Boot, Wildfly Swarm and Vert.x, while leveraging Istio on Kubernetes with OpenShift.
Securing and Automating Kubernetes with KyvernoSaim Safder
Kyverno is a CNCF Sandbox Project Created by Nirmata.
Kyverno is a policy engine designed for Kubernetes. With Kyverno, policies are managed as Kubernetes resources and no new language is required to write policies. This allows using familiar tools such as kubectl, git, and kustomize to manage policies. Kyverno policies can validate, mutate, and generate Kubernetes resources. The Kyverno CLI can be used to test policies and validate resources as part of a CI/CD pipeline.
In this session Shuting Zhao and Jim Bugwadia, both of whom are Kyverno maintainers will provide an overview of Kyverno and describe how you can get started with using it.
The Operator Pattern - Managing Stateful Services in KubernetesQAware GmbH
Cloud Native Night, January 2018, Mainz: Talk by Jakob Karalus (@krallistic, IT Consultant at codecentric)
Join our Meetup: https://www.meetup.com/de-DE/Cloud-Native-Night
Abstract: While it's easy to deploy stateless application with Kubernetes, it's harder for stateful software. Since applications often require custom functionality that Kubernetes can't provide, developers want to add more specialized patterns like automatic backups, failover or rebalancing to their Kubernetes deployments. In this talk, we will look at the Operator Pattern and other possibilities to extend the functionality of Kubernetes and how to use them to operate stateful applications.
Social Connections 14 - Kubernetes Basics for Connections Adminspanagenda
The product formerly known as IBM Connections pink is deployed on Kubernetes and some other Open Source Tools. Learn the basics of Kubernetes in this session. Deploying additional pods, getting some statistics or find deeper information of the installed stuff to find log files and so on.
Read ebook Kubernetes Cookbook: Building Cloud Native Applications Full Accessillingstabilityb
If your organization is preparing to move toward a cloud-native computing architecture, this cookbook shows you how to successfully use Kubernetes, the de-facto standard for automating the deployment, scaling, and management of containerized applications. With more than 80 proven recipes, developers, system administrators, and architects will quickly learn how to get started with Kubernetes and understand its powerful API.Through the course of the book, authors Sebastien Goasguen and Michael Hausenblas provide several detailed solutions for installing, interacting with, and using Kubernetes in development and production. You'll learn how to adapt the system to your particular needs and become familiar with the wider Kubernetes ecosystem. Each standalone chapter features recipes written in O'Reilly's popular problem-solution-discussion format.Recipes in this cookbook focus on:Creating a Kubernetes clusterUsing the Kubernetes command-line interfaceManaging fundamental workload .
Cloud Native Night, January 2018, Munich: Workshop led by Jörg Schad (@joerg_schad, Technical Lead Community Projects at Mesosphere)
Join our Meetup: https://www.meetup.com/de-DE/cloud-native-muc
PLEASE NOTE: During this workshop, Jörg showed many demos and the audience could participate on their laptops. Unfortunately, we can't provide these demos. Nevertheless, Jörg's slides give a deep dive into the topic.
ABSTRACT: Kubernetes has been one of the topics in 2017 and will probably remain so in 2018. In this hands-on technical workshop you will learn how best to deploy, operate, and scale Kubernetes clusters from one to hundreds of nodes using DC/OS. You will learn how to integrate and run Kubernetes alongside traditional applications and fast data services of your choice (e.g. Apache Cassandra, Apache Kafka, Apache Spark, TensorFlow, and more) on any infrastructure.
This workshop best suits operators focussed on keeping their apps and services up and running in production and developers focussed on quickly delivering internal and customer facing apps into production.
You will learn how to:
- Introduction to Kubernetes and DC/OS (including the differences between both)
- Deploy Kubernetes on DC/OS in a secure, highly available, and fault-tolerant manner
- Solve operational challenges of running a large/multiple Kubernetes cluster
- One-click deploy big data stateful and stateless services alongside a Kubernetes cluster
Mattia Gandolfi - Improving utilization and portability with Containers and C...Codemotion
Google has pioneered the usage of containers at huge scale. Learn how we designed our systems to handle insane traffic loads, orchestrating complex, globally distributed applications, and how you can leverage this infrastructure and our agile development technologies to embrace the power of DevOps and Cloud on our Google Cloud Platform.
Federated mesos clusters for global data center designsKrishna-Kumar
This talk at MesosCon2016 gives a glimpse of how Mesos clusters can be federated across data centers using a specific way. The data in the slide deck is mainly based on the POC result and the actual production implementation may vary.
Salvatore Incandela, Fabio Marinelli - Using Spinnaker to Create a Developmen...Codemotion
Out of the box Kubernetes is an Operations platform which is great for flexibility but creates friction for deploying simple applications. Along comes Spinnaker which allows you to easily create custom workflows for testing, building, and deploying your application on Kubernetes. Salvatore Incandela and Fabio Marinelli will give an introduction to Containers and Kubernetes and the default development/deployment workflows that it enables. They will then show you how you can use Spinnaker to simplify and streamline your workflow and help provide a full #gitops style CI/CD.
Kubernetes on Bare Metal at the Kitchener-Waterloo Kubernetes and Cloud Nativ...CloudOps2005
Charlie Drage discussed Kubernetes on bare metal at last week's Kubernetes and Cloud Native meetup in Kitchener-Waterloo. His presentation demonstrated how to deploy Kubernetes on bare metal servers. Charlie is an active Kubernetes maintainer, and his contributions have included fixing some common issues with bare metal servers and using Ansible to build clusters with kubedm.
Kubernetes has been a key component for many companies to reduce technical debt in infrastructure by:
• Fostering the Adoption of Docker
• Simplifying Container Management
• Onboarding Developers On Infrastructure
• Unlocking Continuous Integration and Delivery
During this meetup we are going to discuss the following topics and share some best practices
• What's new with Kubernetes 1.3
• Generate Cluster Configuration using CloudFormation
• Deploy Kubernetes Clusters on AWS
• Scaling the Cluster
• Integrating Ingress with Elastic Load Balancer
• Using Internal ELB's as Kubernetes' Service
• Using EBS for persistent volumes
• Integrating Route53
Kubernetes @ Squarespace: Kubernetes in the DatacenterKevin Lynch
This talk was presented at SRE NYC Meetup on August 16, 2017 at Squarespace HQ.
https://www.youtube.com/watch?v=UJ1QAKprVr4
As the engineering teams at Squarespace grow, we have been building more and more microservices. However, this has added operational strain as we try to shoehorn a growing, complex dynamic environment into our static data center infrastructure. We needed to rethink how we handle deployments, dependency management, resource allocation, monitoring, and alerting. Docker containerization and Kubernetes orchestration helps us tackle many of these problems, but the journey has been challenging. In this talk, we’ll discuss the challenges of running Kubernetes in a datacenter and how we switched to a more SLA-focused alert structure than per instance health with Prometheus and AlertManager.
Watch this Tech Talk: https://do.co/video_pgupta
An introduction into the world of containers and the orchestration ecosystem, and how Kubernetes can help software developers and cloud infrastructure engineers be more agile, efficient, and productive.
Containers and Kubernetes have changed the infra world for good, bringing agility, efficiency, and more productivity. Still thinking about how to get started with Kubernetes? This talk is designed to give you an introduction into the world of containers and the orchestration ecosystem.
What You'll Learn
- Introduction to containers and microservices
- Introduction to Kubernetes and how it can help
- Essential Kubernetes building blocks (“primitives”) for getting started
About the Presenter
Peeyush Gupta is a cloud enthusiast with 5+ years of experience in developing cloud platforms and helping customers migrate their legacy applications to cloud. He has also been a speaker at multiple meetups and serves the developer community as part of Kubernetes contributor experience group. He is currently working with DigitalOcean as a Senior Developer Advocate.
New to DigitalOcean? Get US $100 in credit when you sign up: https://do.co/deploytoday
To learn more about DigitalOcean: https://www.digitalocean.com/
Follow us on Twitter: https://twitter.com/digitalocean
Like us on Facebook: https://www.facebook.com/DigitalOcean
Follow us on Instagram: https://www.instagram.com/thedigitalocean/
We're hiring: http://do.co/careers
Workday has built one of the largest OpenStack-based private clouds in the world, hosting a workload of over a million physical cores on over 16,000 compute nodes in 5 data centers for over ten years. However, there was a growing need for a newer, more maintainable deployment model that would closely follow the upstream community. We would like to share our new architecture and deployment approach as well as lessons learned from our experience.
We’ve converted many of our technologies in the process, from…
Migrating from Mitaka, to Victoria
Converting from OpenContrail, to pure L3 Calico with BGP on the host
Deploying with Chef, to deploying with Ansible
Building home-grown container images, to Kolla
Monitoring with Sensu and Wavefront, to Prometheus and Grafana
CI/CD in Jenkins, to Zuul
CentOS 7, to CentOS 8 Stream
We'll also talk about some internal tools we wrote that, while Workday-specific, may inspire you to see what value-add you can make for your customers.
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.
OSS Japan 2019 service mesh bridging Kubernetes and legacySteve Wong
how to join legacy VMs and bare metal machines to a Kubernetes service mesh so that VMs can consume Kubernetes services AND publish services used by Kubernetes hosted applications
Watch this presentation and learn about Kubernetes Networking:
How to build applications without knowing subnets & IP addresses and build modern cloud-friendly applications in an agile fashion.
Puppet Camp Berlin 2015: Andrea Giardini | Configuration Management @ CERN: G...NETWAYS
In 2011, CERN decided to start using Puppet as main tool for development, machines configuration and provisioning as replacement of Quattor.
Since then the infrastructure has changed a lot, the "Agile infrastructure" project evolved is a series of tools and softwares that currently allow more than 10.000 nodes to be configured and provisioned following custom definitions.
Foreman, Git, Openstack and our homemade librarian Jens are only a few of the tools that will be described during the talk, that aims to give an overview about the current workflow for machines lifecycle at CERN.
This talk will cover how Puppet allows us to deal with several hundred of installations a day and, at the same time, provide highly customizable machine configurations for service owners.
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.
Overview of OpenDaylight Container Orchestration Engine IntegrationMichelle Holley
Looking for a way to deploy a stable OpenStack Cloud Environment with Opendaylight at ease? This session is about learning to deploy a Cloud environment with OPNFV Fuel deployer. Fuel is a deployment tool which deploys a wide variety of distributions with third party plugins like OpenDayLight, while abstracting out complexities of the deployment. The intent of this session is to familiarize deployment of OpenStack with OpenDaylight.
About the presenter: Pramod Raghavendra Jayathirth is a software developer in OpenStack and OpenDayLight, working for OTC, SSG at Intel. His Area of Interest is in Cloud Networking and Applications. He has prior experience in Databases and his current focus is on developing features of Cloud Networking Platform. He holds Masters Degree from San Jose State University.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Kubernetes in the Manufacturing Line @KubeCon EU Valencia 2022 Tobias Schneck
Imagine your manufacturing line is controlled by services running in your datacenters’ Kubernetes clusters. You have facilities in locations all over the world. You provide a managed service with uptime SLA. Now, there is an issue with the internet connection. Or security is shutting down all connections to defend against a cyberattack. And your production line must keep working because every downtime is money. This was the challenge to solve, and we did! Did you ever think about - How to run basic Infrastructure Services like DHCP and DNS in a cloud native way for manufacturing services? How to autoscale cluster on-prem? Follow us in the rabbit hole using all kinds of CNCF projects to build a setup that scales, is able to shift and redeploy workloads, and continues to function without relying on cloud vendors or external services. We will show you the obvious and non-obvious challenges of cloud native adopters in the industry 4.0 sector, including some true edge computing cases.
https://kccnceu2022.sched.com/event/ytuM/running-kubernetes-in-a-manufacturing-line-what-could-possibly-go-wrong-mario-fahlandt-tobias-schneck-kubermatic-gmbh
If you just stated with Kubernetes, one of the first thing you have to learn is the `kubectl` CLI. Join me at a live hacking journey trough the world of kubectl and how you can improve your daily work to be more productive. Find out the handy day-by-day time savers for your working routine by a pure hands-on talk without slides. In Detail we will look together into:
* kubectl basics
* kubectl for scripting
* kubectl extensions
* the fuzzy side of kubectl
* KubeOps - use kubectl to manage k8s clusters, workers and static virtual machines.
Will ARM be the new Mainstream in our Data Centers? @Rejekts Paris 2024Tobias Schneck
As I have been working with my new Apple Mac M1 for over a year, I was wondering why ARM is not used more in regular application workload scenarios? ARM for desktop computing is really stable, seamless, reliable and for me a game changer - when will we recognize the same for our servers? Especially in times when energy and raw materials are expensive, we should also benefit from the efficiency of ARM technology in our Data Centers. So what’s missing?
We have Kubernetes on ARM, images!
Creating Kubernetes multi clusters with ClusterAPI @ Stuttgart Kubernetes MeetupTobias Schneck
Thanks to tools like kubeadm, Terraform or Ansible setting up a Kubernetes cluster on a dedicated environment is getting reachable, but what’s about setting up a bunch of cluster in multiple clouds in automatic way? This is still a challenge. Also if you want to do same in your own datacenter. In this talk we will take a look to the approach to orchestrate and manage a whole set of k8s cluster by the Cluster API project of kubernetes (a subproject of sig-cluster-lifecycle). The main idea behind it is to use the Kubernetes API itself to manage multiple clusters with there master and worker nodes in same way you would manage your PODs - define the needed resources and the responsible controller will take care for providing it.
After an overview about the concepts of cluster API, I will show what’s needed to implement a cluster API conform machine class/deployment. There I will see that adding your own provider isn’t that hard as you may aspect. At the end of the day it just requires a simple interface to implement. The corresponding kubermatic controllers we implemented at Loodse are available as open source, so its possible to play around with it. A live demo will show how easy it is to spin up and maintain multiple Kubernetes cluster at different public and on-premise cloud providers over one managing cluster. A final wrap up will summarize the current state of the Cluster API project and the advantages of managing clusters as cattles instead of pets.
KubeCI - Cloud Native Continuous Delivery for KubernetesTobias Schneck
Getting CI/CD pipelines to work on Kubernetes is a tricky endeavor, especially if you are looking for a Cloud Native CI/CD solution.
KubeCI is an open source Continuous Delivery system built on Drone for Kubernetes. A simple YAML configuration file is used to the define and execute pipelines inside Kubernetes Pods.
We will talk about why CI/CD pipelines are painful today. We will do some live coding, and show you how KubeCI can make a CI/CD deployment on Kubernetes simple. The audience will get insights about why we build KubeCI and how we want to extend it in the future.
Building up your application's UI interface is certainly a challenge by itself, but writing automated web UI tests is an even bigger one! And after you are done, your project comes across more questions:
* Validate the order confirmation PDF?
> Yes of course!
* Test the rich-client implementation as well?
> Would be fantastic!
* Where to run the test?
> For sure inside of a container!
* Rewrite all of our tests?
> Are you kidding me? We want to reuse them!
* Scale your test executors?
> What's about Kubernetes!?
If you already have a bunch of Selenium tests in your project, you won't throw them all away if some new test requirements, like the ones mentioned above, come up. Therefore we have developed a solution, which will keep your Selenium tests as they are, but with the possibility to test even more. PDF validation or controlling a Flash Player will be as easy as the validation of an HTML button. While we are at it, why not testing a whole rich-client app with the same test setup? With "Sakuli Se" as a Selenium extension, you will be able to do this and execute all tests inside of a preconfigured UI testing container. Afterwards you can scale your test environment with Kubernetes/OpenShift and let them do the work. The talk will answer all the above-mentioned questions and demonstrate the different use cases in a live coding session.
Creating Kubernetes multi clusters with ClusterAPI in the Hetzner CloudTobias Schneck
Based on Fabian’s talk, where we learned how to setup a Kubernetes cluster at Hetzner for small environments, Tobias and Alvaro will take a look to the approach to orchestrate and manage one or more cluster by the Cluster API project (a subproject of sig-cluster-lifecycle). The main idea behind it is to use the Kubernetes API itself to manage multiple clusters with there master and worker nodes in same way you would manage your PODs - define the needed resources and the responsible controller will take care for providing it.
After an overview about the concepts of cluster API, we will show what’s needed to implement a cluster API conform machine class/deployment on top of the Hetzner Cloud API. There we will see that adding your own provider isn’t that hard as you may aspect. At the end of the day it just requires a simple interface to implement. The corresponding controller is available as open source, so its possible to play around with it.
At least a final demo will show how easy it is to spin up and maintain multiple Kubernetes cluster in Hetzner (or other cloud/on-premise providers) over one managing seed cluster. A final wrap up will summarize the current state of the Cluster API project and the advantages of managing clusters as cattles instead of pets.
OpenShift Build Pipelines @ Lightweight Java User Group MeetupTobias Schneck
A reliable test infrastructure is half the battle to get stable tests into your delivery pipeline. Therefore container technologies like Docker can help to build up an immutable deployment and test infrastructure. If you think one step further, you will soon get to the point where scalability came into your glance. To get this challenge done, something like a container-based CI/CD environment will be needed. Therefore we will take a look at the open-source solution "OpenShift". The container platform combined the Jenkins build pipeline and Kubernetes concepts to a ready-to-use CI/CD solution. The talk will show what of the platform components can be used to build up your self-hosted automated build, test and deployment pipeline. In a live demo session we will build a microservice application, unit test it, deploy it, execute API integration tests and at least run real UI-Tests in dockerized desktop containers.
OpenShift-Build-Pipelines: Build -> Test -> Run! @JavaForumStuttgartTobias Schneck
Stabile und skalierbare Continuous-Integration-Umgebungen sind seit jeher schwer aufzusetzen und zu pflegen. Besonders in Zeiten von Containern und Cloud-Native-Apps, wird der nächste Schritt hin zur voll-automatisierten Build-Pipeline eingefordert. Sowohl der Aufbau des automatisierten Deployments als auch die Ausführung von automatisierten Integration- und UI-Tests stellen die DevOps-Teams vor neue Hürden. Einen eleganten Ausweg bieten Container-basierte CI/CD-Umgebungen, die dynamisch zum Build-Zeitpunkt bereitgestellt werden. An diesen Punkt setzt die Open-Source-Container-Plattform "OpenShift" an. Durch den Infrastructure-as-Code-Ansatz wird sowohl der CI-Server als auch der komplette Build-Lifecycle vom Bau der Artefakte bis zum Testen der Anwendung in den Container-Cluster verschoben.
Der Talk zeigt auf wo die Unterschiede von OpenShift zur Kubernetes-API liegen, wie durch Jenkins-Build-Pipelines Artefakte gebaut, in Docker Images verpackt, getestet und deployed werden können. In mehreren Live-Demos wird aufgezeigt, wie mit geschickten Einsatz von Open-Source-Tools sowohl Server-APIs als auch grafische Web- und Rich-Client-Oberflächen in Container-Clustern als Black-Box getestet werden können. Eine abschließende, kritische Bewertung der gesammelten Erfahrungen, zeigt wo das Potenzial dieses Ansatz liegt, aber auch welche Fallstricke derzeit (noch) zu meistern sind.
OpenShift-Build-Pipelines: Build ► Test ► Run!Tobias Schneck
GitHub Repo: https://github.com/toschneck/openshift-example-bakery-ci-pipeline
Stabile und skalierbare Continuous-Integration-Umgebungen sind seit jeher schwer aufzusetzen und zu pflegen. Besonders in Zeiten von Containern und Cloud-Native-Apps, wird der nächste Schritt hin zur voll-automatisierten Build-Pipeline eingefordert. Sowohl der Aufbau des automatisierten Deployments als auch die Ausführung von automatisierten Integration- und UI-Tests stellen die DevOps-Teams vor neue Hürden. Einen eleganten Ausweg bieten Container-basierte CI/CD-Umgebungen, die dynamisch zum Build-Zeitpunkt bereitgestellt werden. An diesen Punkt setzt die Open-Source-Container-Plattform "OpenShift" an. Durch den Infrastructure-as-Code-Ansatz wird sowohl der CI-Server als auch der komplette Build-Lifecycle vom Bau der Artefakte bis zum Testen der Anwendung in den Container-Cluster verschoben.
Der Talk zeigt auf wo die Unterschiede von OpenShift zur Kubernetes-API liegen, wie durch Jenkins-Build-Pipelines Artefakte gebaut, in Docker Images verpackt, getestet und deployed werden können. In mehreren Live-Demos wird aufgezeigt, wie mit geschickten Einsatz von Open-Source-Tools sowohl Server-APIs als auch grafische Web- und Rich-Client-Oberflächen in Container-Clustern als Black-Box getestet werden können. Eine abschließende, kritische Bewertung der gesammelten Erfahrungen, zeigt wo das Potenzial dieses Ansatz liegt, aber auch welche Fallstricke derzeit (noch) zu meistern sind.
Kotlin for backend development (Hackaburg 2018 Regensburg)Tobias Schneck
Off to a new island - Kotlin for backend development
Tobias Schneck, Simon Hofmann
Get a first insight to new JVM language Kotlin and learn how you can use Kotlin also for backend development. We will compare traditional Java code to the new fancy Kotlin code and show why we fell in love with it. We will also show how you can spin up your Kotlin Spring Boot backend server in just a few minutes and how you use Java and Kotlin code together in one project.
Building up your application's UI interface is certainly a challenge by itself, but writing automated web UI tests is an even bigger one! And after you are done, your project comes across more questions:
* Validate the order confirmation PDF?
> Yes of course!
* Test the rich-client implementation as well?
> Would be fantastic!
* Where to run the test?
> For sure inside of a container!
* Rewrite all of our tests?
> Are you kidding me? We want to reuse them!
* Scale your test executors?
> What's about Kubernetes!?
If you already have a bunch of Selenium tests in your project, you won't throw them all away if some new test requirements, like the ones mentioned above, come up. Therefore we have developed a solution, which will keep your Selenium tests as they are, but with the possibility to test even more. PDF validation or controlling a Flash Player will be as easy as the validation of an HTML button. While we are at it, why not testing a whole rich-client app with the same test setup? With "Sakuli Se" as a Selenium extension, you will be able to do this and execute all tests inside of a preconfigured UI testing container. Afterwards you can scale your test environment with Kubernetes/OpenShift and let them do the work. The talk will answer all the above-mentioned questions and demonstrate the different use cases in a live coding session.
Continuous Testing: Integration- und UI-Testing mit OpenShift-Build-PipelinesTobias Schneck
Stabile und skalierbare Testumgebungen sind seit jeher schwer aufzusetzen und zu warten. Besonders in Zeiten von Continuous Delivery ist das Aufsetzen von Build-Pipelines in Verbindung mit automatisierten Integration- und UI-Tests eine besonders große Herausforderung. Einen eleganten Ausweg bieten containerbasierte Testumgebungen, die dynamisch zum Build-Zeitpunkt bereitgestellt werden. Der Talk zeigt anhand von mehreren Live-Demos, wie mit Hilfe von OpenShift-Build-Pipeline sowohl Server-APIs als auch grafische Web- und Rich-Client-Oberflächen getestet werden können. Zum Einsatz kommen hierfür die Open-Source-Test-Frameworks Citrus und Sakuli, die bereits für die Verwendung in OpenShift vorbereitet sind.
Das Entwickeln und Gestalten von einer UI ist für sich allein genommen bereits eine große Herausforderung. Ganz zu schweigen von der Aufgabe die UI-Tests zu automatisieren. Wurde beides erfolgreich gemeistert, kommen allerdings die nächsten Fragen:
* Sollen wir auch die PDF-Auftragsbestätigung im Test validieren?
> Natürlich sollten wir!
* Ist der Rich-Client auch zu testen?
> Ja, wieso denn auch nicht!
* Wo sollen die Tests ausgeführt werden?
> Natürlich im Docker-Container und im Kubernetes-Cluster!
* Können wir die Tests auf ein anderes Framework migrieren?
> Was bringt uns das? Wir wollen die bestehenden Tests doch weiterverwenden!
Diese Fragen sind den Einen oder Anderen bestimmt nicht neu, aber was tun? Es wurde bereits viel Aufwand und Mühe in die Pflege der umfangreichen Selenium-Testsuiten gesteckt! Daher möchte man diese nur ungern verwerfen, nur um neue Anforderungen umzusetzen. Der Talk zeigt hierfür eine Lösung auf, die mit geringen Aufwand die bestehenden Selenium-Tests einfach erweitert. Die Open-Source-Erweiterung "Sakuli Se" bietet eine umfangreiche API, die es ermöglicht Rich-Clients, PDF-Inhalte oder auch Flash-Anwendungen ebenso leicht wie ein HTML-Button im selben Ausführungskontext zu testen. An Praxisbeispielen wird ebenso demonstriert wie durch vorgefertigte Dockerimages die Testausführung skalierbar bis in Cloud-Umgebung, wie Kubernetes oder OpenShift, aufgebaut werden kann.
See: http://www.oop-konferenz.de/oop2017/konferenz/konferenzprogramm/sessiondetails/action/detail/session/do-54/title/containerized-end-2-end-testing-automate-it.html
Setting up unit- and integration tests are tasks which developers have learned to deal. But testing UIs from the perspective of an end user is mostly still a challenge. The key question usually to answer is: How it is possible to make these end-2-end tests stable, scalable and reproducible? The upcoming container technologies bring the hope of managing and automating your UI tests as easily as your container deployment. A live demo will show how it is possible to test and monitor a web- or a rich-client application in a containerized Linux UI.
Target Audience: Architects, Developers, Tester, DevOps, Monitoring Teams
Prerequisites: none
Level: Practicing
Extended Abstract
The end-2-end test example will be demonstrated by the open source tools "Docker" and "Sakuli". The demo shows how to do a blackbox UI test of a complex application, which is build on purpose of the current microservice pattern. The results will be interpreted and visualized in the Jenkins CI build pipeline and we will take a look into the UI activity of the testing container during the test execution.
In an alternative scenario the previous build end-2-end tests will be executed with the objective to forward there results to a monitoring system like OMD Nagios. This use case makes it possible to continuously measure the runtime of different test execution steps and create alerts on broken thresholds. This approach enables a new perspective of monitoring. It is now possible to check constantly if the functionality of an application, like the user login or the search engine is up and running - not just the sever healthy state.
# Containerized end-2-end testing with Docker and Sakuli
Linkt to online presentation: https://rawgit.com/toschneck/presentation/agile-testing-meetup/index.html#/
Stabile und skalierbare Testumgebungen für End-2-End-Tests sind seit jeher schwer aufzusetzen und zu warten. Besonders in Kombination mit automatisierten UI-Tests stellen sie Tester und Entwickler immer wieder vor große Hürden. Einen eleganten Ausweg bieten in Container verpackte Testumgebungen, die sowohl Web- als auch Rich-Clients in echten Desktop-Umgebungen testen können. Als "Immutable Infrastruktur" betrieben, wird es dadurch möglich, einen definierten Systemstand jederzeit reproduzierbar aufzurufen und Tests darin performant auszuführen. Es wird gezeigt, wie z. B. parallele GUI-Tests in verschiedenen Umgebungen zur Qualitätssicherung beitragen. Die Beispiele sind mit dem Open-Source-Tools „Sakuli“ und „Docker“ realisiert.
Bei der Konzeption von End-2-End-Tests ist eines der größten Probleme die Frage, wie die Testausführung möglichst robust, reproduzierbar und skalierbar gestaltet werden kann. Diese Hürde lässt sich mit klassischen Ansätzen nicht überwinden.
Einen eleganten Ausweg bieten in Container verpackte Testumgebungen. Durch sie wird es möglich, einen definierten Systemstand reproduzierbar aufzurufen und Tests performant auszuführen.
Im Vortrag wird gezeigt, wie z.B. parallele GUI-Tests in verschiedenen Umgebungen zur Qualitätssicherung beitragen. Die Beispiele sind mit den Open-Source-Tools Sakuli und Docker realisiert und testen Web- und Rich-Client-Applikationen.
Lernziele:
Ziel ist es, dem Zuhörer aufzuzeigen, wie das Potenzial von Container-Technologien genutzt werden kann, um die Softwarequalität zu erhöhen und den manuellen Testaufwand drastisch zu verringern. Eine abschließende Bewertung der Erfahrungen sowie ein Ausblick auf weitere Einsatzszenarien und Entwicklungsschritte runden den Vortrag
Bei der Konzeption von End-2-End-Tests ist eine der größten Problemstellungen die Frage, wie die Testausführung möglichst robust, reproduzierbar und parallelisierbar gestaltet werden kann. Diese Hürde lässt sich meist mit klassischen Ansätzen nicht überwinden.
Einen eleganten Ausweg bieten in Container verpackte Testumgebungen. Dadurch wird es möglich, einen definierten Systemstand reproduzierbar aufzurufen und Tests performant auszuführen. Anhand typischer E2E-Tests wird gezeigt, wie z. B. parallele GUI-Tests in verschiedenen Umgebungen zur Qualitätssicherung beitragen. Die Beispiele sind mit dem Open-Source-Tools „Sakuli“ und „Docker“ realisiert und testen Web- und Rich-Client-Applikationen. Um die Integration in eine Continous-Deployment-Pipeline zu demonstrieren, wird eine rein auf Container-Technologie basierende Testumgebung durch das CI-Tool Jenkins aufgebaut, um darauf automatisierte End-2-End-Tests headless zur Ausführung zu bringen.
Ziel ist es, dem Zuhörer aufzuzeigen, wie das Potenzial von Container-Technologien genutzt werden kann, um die Softwarequalität zu erhöhen und den manuellen Testaufwand drastisch zu verringern. Eine abschließende Bewertung der Erfahrungen sowie ein Ausblick auf weitere Einsatzszenarien und Entwicklungsschritte runden den Vortrag ab.
Containerized End-2-End Testing - JUG Saxony DayTobias Schneck
Bei der Konzeption von End-2-End-Tests ist eine der größten Probleme die Frage, wie die Testausführung robust, reproduzierbar und skalierbar gestaltet werden kann. Einen eleganten Ausweg bieten in Container verpackte Testumgebungen. Dadurch wird es möglich, einen definierten Systemstand reproduzierbar und performant zu testen. Anhand der Open-SourceTools „Sakuli“ und „Docker“ wird gezeigt, wie parallele GUI-Tests in nativen Umgebungen Web- und Rich-Client-Anwendungen performant testen.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
2. Tobias Schneck
Head of Professional Service
toschneck
@toschneck
tobi@kubermatic.com
Manuel Stößel
Systems Architect / Tech Lead
@ManuStoessel
@Manuel_Stoessel
manuel@kubermatic.com
What Else?
• Part of Professional Services @
Kubermatic
• Supporting customers on their
cloud-native journey
• Geeking out over Kubernetes and
adjacent technologies
4. Reasons for Cluster Migration Scenarios
● Business Reasons
● Better contract/conditions at another cloud provider ⇒ cost saving
● Data center migration to/from (cloud) providers
● Multi cloud strategy ⇒ decrease dependency to existing provider
● Technical Reasons
● Location migration of data centers
● Migrate to other network segments
● Adaption of on-prem / cloud improvements at new data center provider
● Data location of cloud offered service e.g. machine learning data
6. Kubernetes Abstracts Infrastructure, But:
● Consummation of infrastructure resources
○ (Virtual) Machines
○ Network:
■ Network IP Address Spaces
■ Routing, Firewall
■ Ingress / Egress Traffic
○ DNS
○ External Storage Systems
● Cloud dependent Kubernetes components
○ Cloud Controller Manager
■ Node controller - responsible for updating kubernetes nodes
■ Service controller - responsible for services of type LoadBalancer
■ Route controller - responsible for setting up network routes
○ Storage Classes
○ (sometimes) Overlay Networking
7. K8s Master
API Server
Dashboard
Scheduler
kubelet kubelet kubelet kubelet
Container
Registry
etcd
Controllers
web browsers
kubectl
web browsers
Config
file
Image
CNI - Plugin Network (e.g. Flannel, Calico)
Developer
Developer
8. ⇒ Application workload has the highest priority!
● Ensure fundamental networking rules at any time
○ All containers within a pod can communicate (L4) with each other unimpeded.
○ All pods can communicate with all other pods without NAT.
○ All nodes can communicate with all pods (and vice-versa) without NAT.
○ The IP that a pod sees itself as is the same IP that others see it as.
● External dependencies need to be reachable
○ External routed IPs for Load Balancers / Node Port Service
○ DNS Names need to be reachable
● Storage
○ State needs to migrated without data loss
Migration Without Downtime
9. Scale Level of 100 Clusters
● Larger organizations running a lot of clusters
⇒ different locations, org units, time zones
● Cluster users are only consumers
⇒ following the cluster as a service approach
● Cluster connection and secrets needs to be stable
=> no change of interface
11. Status Quo
● Multi Cloud Setup with Kubermatic Kubernetes Platform (KKP)
○ Seed cluster hold containerized control plane of user clusters
○ Worker nodes provisioned by Cluster API conform Kubermatic machine-controller
○ Canal as default overlay network
● Target
○ Migrate user and seed cluster control planes and worker to different cloud
○ Keep external Cluster Endpoints stable
■ Control Plan: Kubernetes API Server endpoints
■ Application: DNS, Ingress
○ Out-of-Scope (for now): Storage replication
■ Assumption: Application Layer manages storage replication, e.g. etcd
12. Kubermatic
Kubermatic Master Cluster
KubeOne Seed Cluster - Region EU
User k8s
Worker
User k8s
Worker
User k8s Master
API Controller
Scheduler etcd
User k8s
Worker
User k8s
Worker
User k8s Master
API Controller
Scheduler etcd
13. Recommended Prerequisites
● Announce maintenance window and block cluster updates
● Ensure backups and recovery procedure for
○ Seed and user clusters
○ Application workload
● Create target cloud cluster as reference
● Ensure control of DNS entries
15. 1) Migrate User Cluster Workers
● Create new worker nodes in target cloud
⇒ Machine controller with new Machine Deployment at target cloud
● User worker nodes and Pods need to talk to each other at any time
⇒ Strap a VPN overlay by DaemonSets across current and target cloud
⇒ Route overlay CNI traffic through VPN network
● Ensure reachability
=> Keep old and create new cluster Ingress endpoints
=> Transfer workload to new cloud
=> Delete after workload / connectivity is ensured
16. KubeOne Seed Cluster - Region EU
User k8s Master
API Controller
Scheduler etcd
User k8s
Worker
VPN Server Machine
Controller
Application
User k8s
Worker
Application
*.cluster-1.example.com
K8s API Server tunnel
Canal Overlay
(eth0)
MetalLB
Migrate User Cluster Worker Nodes:
17. KubeOne Seed Cluster - Region EU
User k8s Master
API Controller
Scheduler etcd
User k8s
Worker
VPN Server Machine
Controller
User k8s
Worker
Application Application
*.cluster-1.example.com
K8s API Server tunnel
Canal Overlay
(kube)
Migrate User Cluster Worker Nodes:
1. VPN Daemon Set with client-to-client
communication
2. Route Overlay Traffic over VPN interface
3. Pause existing Cluster & Machine Deployment
VPN
Client
VPN
Client
MetalLB
18. KubeOne Seed Cluster - Region EU
User k8s Master
API Controller
Scheduler etcd
User k8s
Worker
Machine
Controller
VPN Server
User k8s
Worker
Application Application
*.cluster-1.example.com
K8s API Server tunnel
Canal Overlay
(kube)
Migrate User Cluster Worker Nodes:
1. VPN Daemon Set with client-to-client
communication
2. Route Overlay Traffic over VPN interface
3. Pause existing Cluster & Machine Deployment
4. Update Cluster Spec & Cloud Credentials
5. Unpause Cluster with new Cloud Provider
6. Apply new Machine Deployment
VPN
Client
VPN
Client
User k8s
Worker
VPN
Client
MetalLB
User k8s
Worker
VPN
Client
GCP LB
19. KubeOne Seed Cluster - Region EU
User k8s Master
API Controller
Scheduler etcd
User k8s
Worker
Machine
Controller
User k8s
Worker
*.cluster-1.example.com
K8s API Server tunnel
Canal Overlay
(kube)
Migrate User Cluster Worker Nodes:
1. VPN Daemon Set with client-to-client
communication
2. Route Overlay Traffic over VPN interface
3. Pause existing Cluster & Machine Deployment
4. Update Cluster Spec & Cloud Credentials
5. Unpause Cluster with new Cloud Provider
6. Apply new Machine Deployment
7. Test new cluster ingress entrypoint
8. Migrate Workload and update DNS
VPN
Client
VPN
Client
User k8s
Worker
VPN
Client
MetalLB GCP LB
User k8s
Worker
VPN
Client
Application Application
20. KubeOne Seed Cluster - Region EU
User k8s Master
API Controller
Scheduler etcd
VPN Server Machine
Controller
*.cluster-1.example.com
K8s API Server tunnel
Migrate User Cluster Worker Nodes:
1. VPN Daemon Set with client-to-client
communication
2. Route Overlay Traffic over VPN interface
3. Pause existing Cluster & Machine Deployment
4. Update Cluster Spec & Cloud Credentials
5. Unpause Cluster with new Cloud Provider
6. Apply new Machine Deployment
7. Test new cluster ingress entrypoint
8. Migrate Workload and update DNS
9. Cleanup old cloud resource
User k8s
Worker
GCP LB
User k8s
Worker
Application Application
Canal Overlay
(eth0)
23. Kubermatic
KubeOne Master Cluster
migrated
KubeOne Seed Cluster - Region EU
User k8s
Worker
User k8s
Worker
User k8s Master
API Controller
Scheduler etcd
migrated
User k8s
Worker
User k8s
Worker
User k8s Master
API Controller
Scheduler etcd
24. 2) Migrate Seed Cluster
● Create new seed master nodes at new cloud
=> New Kubernetes API Load Balancer
=> API Endpoint needs to be updated by DNS
=> Block seed cluster upgrades to ensure worst case recovery
● Migrate user cluster control plane
=> Handle migration the same way (like user cluster workload)
=> Ensure etcd quorum and migration by data replication
=> Block user cluster upgrades to ensure worst case recovery
25. User k8s Master
API Scheduler Controller etcd
KubeOne Seed Cluster - Region EU
Seed k8s
Master
Seed k8s
Master
Seed k8s
Master
seed-k8s-api.example.com
Seed k8s
Worker
Seed k8s
Worker
Seed k8s
Worker
Migrate Seed Master Nodes:
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
26. KubeOne Seed Cluster - Region EU
Seed k8s
Master
Seed k8s
Master
Seed k8s
Master
seed-k8s-api.example.com
Seed k8s
Worker
Seed k8s
Worker
Seed k8s
Worker
Migrate Seed Master Nodes:
1. Setup VPN Overlay
2. Pause existing Cluster & Machine
Deployment
3. Create and join new 2 Master Nodes
Seed k8s
Master
Seed k8s
Master
VPN Server
Canal Overlay
(kube)
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
27. KubeOne Seed Cluster - Region EU
seed-k8s-api.example.com
Seed k8s
Worker
Seed k8s
Worker
Seed k8s
Worker
Migrate Seed Master Nodes:
1. Setup VPN Overlay
2. Pause existing Cluster & Machine
Deployment
3. Create and join new 2 Master Nodes
4. Add new LB Service & Update DNS
5. Remove 2 old Master Nodes and move
etcd quorum to new cloud
Seed k8s
Master
Seed k8s
Master
VPN Server
Canal Overlay
(kube)
Seed k8s
Master
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
28. KubeOne Seed Cluster - Region EU
Seed k8s
Master
seed-k8s-api.example.com
Seed k8s
Worker
Seed k8s
Worker
Seed k8s
Worker
Migrate Seed Master Nodes:
1. Setup VPN Overlay
2. Pause existing Cluster & Machine
Deployment
3. Create and join new 2 Master Nodes
4. Add new LB Service & Update DNS
5. Remove 2 old Master Nodes and move
etcd quorum to new cloud
6. Create 3rd Master Node at new cloud
and remove last old Master Node
Seed k8s
Master
Seed k8s
Master
VPN Server
Canal Overlay
(kube)
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
30. KubeOne Seed Cluster - Region EU
K8s API Server tunnels
Seed k8s
Master
Seed k8s
Master
Seed k8s
Master
*.seed.example.com
User k8s
Worker
User k8s
Worker
User k8s
Worker
[cluster-id]
NodePort Proxy
Service
Seed k8s
Worker
Seed k8s
Worker
Seed k8s
Worker
VPN Server
Canal Overlay
(kube)
Migrate Seed Worker Nodes:
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
31. KubeOne Seed Cluster - Region EU
K8s API Server tunnels
Seed k8s
Master
Seed k8s
Master
*.seed.example.com
User k8s
Worker
User k8s
Worker
User k8s
Worker
[cluster-id]
NodePort Proxy
Service
Seed k8s
Worker
Seed k8s
Worker
Seed k8s
Worker
Seed k8s
Master
VPN Server
Canal Overlay
(kube)
Migrate Seed Worker Nodes:
1. VPN Overlay, Pause existing Cluster, Machine
Deployment
2. Create 2 new Workers (migration steps similar to
user cluster)
Seed k8s
Worker
Seed k8s
Worker
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
32. KubeOne Seed Cluster - Region EU
K8s API Server tunnels
Seed k8s
Master
Seed k8s
Master
*.seed.example.com
User k8s
Worker
User k8s
Worker
User k8s
Worker
[cluster-id]
NodePort Proxy
Service
Seed k8s
Worker
Seed k8s
Worker
Seed k8s
Worker
Seed k8s
Master
VPN Server
Canal Overlay
(kube)
Migrate Seed Worker Nodes:
1. VPN Overlay, Pause existing Cluster, Machine
Deployment
2. Create 2 new Workers (migration steps similar to
user cluster)
3. Taint existing workers as non-schedule
4. Scale up etcd count of user cluster to 5
⇒ data replicated by etcd
Seed k8s
Worker
Seed k8s
Worker
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
33. Migrate Seed Worker Nodes:
1. VPN Overlay, Pause existing Cluster, Machine
Deployment
2. Create 2 new Workers (migration steps similar to
user cluster)
3. Taint existing workers as non-schedule
4. Scale up etcd count of user cluster to 5
⇒ data replicated by etcd
5. Create new LB for NodePort Proxy and update DNS
KubeOne Seed Cluster - Region EU
K8s API Server tunnels
Seed k8s
Master
Seed k8s
Master
*.seed.example.com
User k8s
Worker
User k8s
Worker
User k8s
Worker
[cluster-id]
NodePort Proxy
Service
Seed k8s
Worker
Seed k8s
Worker
Seed k8s
Worker
Seed k8s
Master
VPN Server
Canal Overlay
(kube)
Seed k8s
Worker
Seed k8s
Worker
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
34. Migrate Seed Worker Nodes:
1. VPN Overlay, Pause existing Cluster, Machine
Deployment
2. Create 2 new Workers (migration steps similar to
user cluster)
3. Taint existing workers as non-schedule
4. Scale up etcd count of user cluster to 5
⇒ data replicated by etcd
5. Create new LB for NodePort Proxy and update DNS
6. Add 1 new worker and drain 1 old workers
⇒ etcd quorum migrated to new cloud
KubeOne Seed Cluster - Region EU
K8s API Server tunnels
Seed k8s
Master
Seed k8s
Master
*.seed.example.com
User k8s
Worker
User k8s
Worker
User k8s
Worker
[cluster-id]
NodePort Proxy
Service
Seed k8s
Worker
Seed k8s
Worker
Seed k8s
Worker
Seed k8s
Master
VPN Server
Canal Overlay
(kube)
Seed k8s
Worker
Seed k8s
Worker
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
35. Migrate Seed Worker Nodes:
1. VPN Overlay, Pause existing Cluster, Machine
Deployment
2. Create 2 new Workers (migration steps similar to
user cluster)
3. Taint existing workers as non-schedule
4. Scale up etcd count of user cluster to 5
⇒ data replicated by etcd
5. Create new LB for NodePort Proxy and update DNS
6. Add 1 new worker and drain 1 old workers
⇒ etcd quorum migrated to new cloud
7. Drain missing worker nodes, cleanup old cloud
KubeOne Seed Cluster - Region EU
K8s API Server tunnels
Seed k8s
Master
Seed k8s
Master
*.seed.example.com
User k8s
Worker
User k8s
Worker
User k8s
Worker
[cluster-id]
NodePort Proxy
Service
Seed k8s
Worker
Seed k8s
Master
VPN Server
Canal Overlay
(kube)
Seed k8s
Worker
Seed k8s
Worker
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
36. Migrate Seed Worker Nodes:
1. VPN Overlay, Pause existing Cluster, Machine
Deployment
2. Create 2 new Workers (migration steps similar to
user cluster)
3. Taint existing workers as non-schedule
4. Scale up etcd count of user cluster to 5
⇒ data replicated by etcd
5. Create new LB for NodePort Proxy and update DNS
6. Add 1 new worker and drain 1 old workers
⇒ etcd quorum migrated to new cloud
7. Drain missing worker nodes, cleanup old cloud
8. Scale down etcd count of user cluster to 3
9. Remove VPN Overlay
KubeOne Seed Cluster - Region EU
K8s API Server tunnels
Seed k8s
Master
Seed k8s
Master
*.seed.example.com
User k8s
Worker
User k8s
Worker
User k8s
Worker
[cluster-id]
NodePort Proxy
Service
Seed k8s
Worker
Seed k8s
Master
Canal Overlay
(eth0)
Seed k8s
Worker
Seed k8s
Worker
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
User k8s Master
API Scheduler Controller etcd
37. Outlook
● Automate clean up procedure
○ Idea: switch back cloud provider / machine controller for clean up
● Manage migration by Operator
○ Health checks
○ Wait conditions for migration steps
● Stabilize VPN connection
○ Multiple VPN servers
○ Soft switchover between VPN / Host network overlay
○ Evaluate Wireguard usage
● Automate Load Balancer and DNS management
