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Kubernetes Schulungen
Platform for automating deployment, scaling, and operations of application containers
Erfahrungsberichte
Kubernetes Schulungsübersicht
| Code | Name | Dauer | Übersicht |
|---|---|---|---|
| rancher | Rancher: Manage your Docker containers | 14 hours | Rancher is an open source software platform that enables organizations to run containers in production. With Rancher, organizations no longer have to cobble together distinct open-source technologies to build a container services platform. It includes a fully supported Kubernetes distribution as well as the option to choose from Docker Swarm and Apache Mesos. Rancher includes modular infrastructure services such as resource management, networking between containers, service discovery, container load balancing, container health monitoring, and backup and recovery, all under one roof. This course provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Rancher container management system. Audience Software engineers System administrators DevOps engineers Format of the course Part lecture, part discussion, heavy hands-on practice Introduction Rancher vs DC/OS Installing and configuring Rancher Starting the Rancher server Adding hosts Launching infrastructure services Creating a container using the UI Creating a container through Docker command line Creating a multi-container application Creating a multi-container application using Rancher Compose Launching Kubernetes Launching Mesos Launching Swarm Working with Catalogs Working with the Rancher API Closing remarks |
| projectatomic | Project Atomic: Re-designing the operating system with the LDK (Linux, Docker, Kubernetes) stack. | 14 hours | Project Atomic is an umbrella for many projects related to re-designing the operating system around principles of "immutable infrastructure", using the LDK (Linux, Docker, Kubernetes) stack. Many of the components of Project Atomic are upstream components of OpenShift Origin v3. The primary building block of Project Atomic is the "Atomic Host", a lightweight container OS. Project Atomic also encompasses other tools which are essential to immutable, container-based infrastructures, including: Cockpit gives visibility into your hosts and your container cluster. Many patches and extensions to Docker for better SELinux and Systemd integration. AtomicApp and Nulecule for composing multi-container applications. Atomic Registry for registering your containers. Commissaire to provide a better API for Kubernetes hosts. The Atomic Developer Bundle to make development of containerized applications easy. This training introduces the architecture, components and tools behind Project Atomic and walks participants through the deployment and integration of these in a live lab environment. Audience DevOps engineers System administrators Software engineers Format of the course Part lecture, part discussion, heavy hands-on practice Introduction Installation and setup Deploying containerized applications Managing containers Networking Updating the system Setting up storage Working with the supported file systems Building Docker images SELinux and container security Closing remarks |
| dockeradm1 | Docker for Developers and System Administrators | 14 hours | Docker is a platform for developers and sysadmins to maintain distributed applications. It consists of a runtime to run containers and a service for sharing containers. With docker the same app can run unchanged on laptops, dedicated servers and virtual servers. This course teaches the basic usage of Docker, useful both for developers and system administrators. The course includes a lot of hands on exercises and the participants will practice in their own Docker environment and build their own Docker images during the 2 days. What is Docker? Use cases Major components of Docker Docker architecture fundamentals Docker architecture Docker images Docker registry Docker containers The underlying technology Namespaces Control groups Union FS Container format Installation of Docker Installation on Ubuntu via apt-get installation of newer version of Docker Dockerizing applications The hello world example Interactive container Daemonizing programs Container usage Running a webapp in a container Investigating a container Port mapping Viewing the logs Looking at processes Stopping and restarting Removing a container Managing images Listing images Downloading images Finding images Networking of containers Port mapping details Container linking and naming Linking and environment variables Data in containers Data volumes Host directories as data volume Host file as data volume Data volume containers Backup, restore of data volumes Contributing to the ecosystem What is Docker Hub? Registering on Docker Hub Command line login Uploading to Docker Hub Private repositories Automated builds |
| dockkubernetes1 | Docker and Kubernetes | 21 hours | Docker Review Docker Overview Docker Underlying Technologies Docker vs Virtual Machines - pros and cons Docker Core Review images container registry Sharing networking sharing file sharing customizing images Docker Ecosystem private registry deployment and security hardening(*) front-end distribution solutions docker cluster solutions Advanced Cluster networking - pipework(*) Kubernetes Aplication Architecture kube-apiserver kube-controller-manager kube-scheduler kube-proxy kubelet Deployment Logic Architecture Pod and Replication Controller Service Network Communication flannel Business Dispatcher High Availability Replication Scalability Use Permissions(*) ServicePort Front-end Delivery Solution Data Persistence(*) MooseFS GlusterFS Ceph (*) optional |
| dockkube | Docker (introducing Kubernetes) | 14 hours | What is Docker Use cases Major components of Docker Docker architecture fundamentals Docker architecture Docker images Docker registry Docker containers The underlying technology Namespaces Control groups Union FS Container format Installation of Docker Installation on Ubuntu via apt-get Installation of newer version of Docker Dockerizing applications The hello world example Interactive container Daemonizing programs Container usage Running a webapp in a container Investigating a container Port mapping Viewing the logs Looking at processes Stopping and restarting Removing a container Managing images Listing images Downloading images Finding images Networking of containers Port mapping details Container linking and naming Linking and environment variables Data in containers Data volumes Host directories as data volume Host file as data volume Data volume containers Backup, restore of data volumes Contributing to the ecosystem What is Docker Hub? Registering on Docker Hub Command line login Uploading to Docker Hub Private repositories Automated builds Kubernetes introduction Pods Labels and Selectors Controllers Services Architecture and the Kubernetes Node |
| dockerkubernetesscale | Docker and Kubernetes: Building and scaling a containerized application | 21 hours | Docker is an open-source platform for automating the process of building, shipping and running applications inside containers. Kubernetes goes one step further by providing the tools needed to deploy and manage containerized applications at scale in a clustered environment. In this instructor-led training, participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking participants through the process of securing, scaling and monitoring a Kubernetes cluster. By the end of this training, participants will be able to Set up and run a Docker container Deploy a containerized server and web application Build and manage Docker images Set up a Docker and Kubernetes cluster Use Kubernetes to deploy and manage a clustered web application Secure, scale and monitor a Kubernetes cluster Audience Software Developers Architects Deployment engineers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice Note: Apache Tomcat and a Java EE application will be used as our demo servers and applications for containerization. However, *these are subject to change*. If you would like to see a specific application or related tool or technique covered in this training, please contact us to arrange. [Day 01] Introduction Containers vs virtual machines Speed and performance Overview of Docker architecture Docker and the Linux kernel Docker components (Docker client, Docker daemon, images, registry, containers) Using Docker to run and manage containers Images, containers, volumes, networks Overview of container orchestration Installing Docker Pulling an image from the internet Sample: Apache Tomcat Running the container Docker registries Public vs private Creating and managing Dockerfiles Building a Docker image Deploying a web application Sample application: Java EE application server How Docker containers communicate with each other Configuring volumes and networks in Docker Linking and state [Day 02] Introduction to container orchestration with Kubernetes Overview of Kubernetes architecture Pods, labels/selectors, replication controllers, services, API Installing a Kubernetes cluster Creating Kubernetes pods, volumes and deployments Grouping and organizing your cluster Discovering and publishing services Discovering and connecting to containers Deploying a web application Handling application components Handling Database connections Kubernetes security Authentication & authorization Advanced networking Docker networking vs Kubernetes networking Monitoring Kubernetes Cluster logging with Elasticsearch and fluentd Container level monitoring (cAdvisor UI, Influxdb, Prometheus) [Day 03] Scaling your Kubernetes cluster Infrastructure for Kubernetes Provisioning, partitioning, networking Building a high-availability cluster Load balancing and service discovery Deploying a scalable application Horizontal pod autoscaling Database clustering in Kubernetes Updating your application Releases in Kubernetes Troubleshooting Closing remarks |
Kommende Kurse
| Course | Schulungsdatum | Kurspreis (Fernkurs / Schulungsraum) |
|---|---|---|
| Docker for Developers and System Administrators - Zürich | Mo, 2017-10-09 09:30 | 2890EUR / 3390EUR |
| Docker and Kubernetes - Bern | Mo, 2017-10-09 09:30 | 3690EUR / 4340EUR |
Other countries
Consulting
Kubernetes Schulung, Kubernetes boot camp, Kubernetes Abendkurse, Kubernetes Wochenendkurse
, Kubernetes Coaching,Kubernetes Kurs, Kubernetes Seminar, Kubernetes Privatkurs, Kubernetes Lehrer
, Kubernetes Seminare
