
Lokální instruktorem vedené Containers and Virtual Machines (VMs) školení České republice.
Reference
the first day of introduction into the dockers and containers
Orange Szkolenia Sp. z o.o.
Kurz: Docker and Kubernetes
Real world example provided by the trainer to facilitate the understanding.
Defence Science & Technology Agency
Kurz: Docker and Kubernetes
Involvement of the lecturer, willingness to undertake discussions on the indicated issue.
Empik S.A.; Emerge IT Tomasz Marmołowski; Polska Wytwórnia Papierów Wartościowych S.A.; Deutsche Bank Polska S.A.; EduBroker Sp. z o.o.
Kurz: Docker and Kubernetes
I liked that Kamil asked questions about how we work with Docker and Kubernetes in order for him to be able to tailor the course to our meet needs. He formed the course make every topic relevant to our daily work.
William Perkola - TriOptima AB
Kurz: Docker and Kubernetes
Trainer knew the subject very well. Was able to improvise when needed. Really good exercises.
TriOptima AB
Kurz: Docker and Kubernetes
Kamil was very knowledgeable about the topic!
Martin Barksten - TriOptima AB
Kurz: Docker and Kubernetes
That the trainer was able to adapt to specific questions/situations
Inforit BV
Kurz: Kubernetes on Azure (AKS)
There are plenty of hands-on exercises which help me understand the subject better.
Credit Suisse
Kurz: Docker and Kubernetes
The structure of the course is very well planned. Concepts were taught from basic to advanced in a good pace.
Credit Suisse
Kurz: Docker and Kubernetes
clear explanation and with practices for each topics
Credit Suisse
Kurz: Docker and Kubernetes
the pace and the teaching flow
George Jor - Credit Suisse
Kurz: Docker and Kubernetes
Relaxed pace and good structure
Rohan Madhwal - Credit Suisse
Kurz: Docker and Kubernetes
To me it seemed very well paced and structured, with good balance between theory and assignments / examples. Overall very happy.
Matti Jauhiainen - Credit Suisse
Kurz: Docker and Kubernetes
The tutor is very interactive, responsive and knowledgeable.
Credit Suisse
Kurz: Docker and Kubernetes
The labs and the discussion.
Synchronoss Software Ireland Limited
Kurz: Docker and Kubernetes
Relaxed, easy going pace.
Synchronoss Software Ireland Limited
Kurz: Docker and Kubernetes
The exercise VMs were working quite well.
Philippe DEPRUGNEY - Synchronoss Software Ireland Limited
Kurz: Docker and Kubernetes
Resources preparation (VMs and such) and the ability to answer questions
Synchronoss Software Ireland Limited
Kurz: Docker and Kubernetes
Kamil's pleasant way backed by his knowledge on the subject matter was the best part of this course
Synchronoss Software Ireland Limited
Kurz: Docker and Kubernetes
The trainer was extremely approachable and helpful and was able to solve any issues that we encountered in the class. Even after he had finished all of the planned course material he still stayed on late to answer questions some people in the course had.
Synchronoss Software Ireland Limited
Kurz: Docker and Kubernetes
The hands on exercises
Synchronoss Software Ireland Limited
Kurz: Docker and Kubernetes
Kamil nás přivedl všechny od nováčků Docker a Kubernetes k sebevědomým uživatelům (ne-li malým a středním podnikům!) Za pouhé 3 dny. Vždy odpovídal na mé otázky a byl trpělivý. Opravdu gentleman.
Patrick Kennedy - Synchronoss Software Ireland Limited
Kurz: Docker and Kubernetes
Machine Translated
Exercises, practical questions answered clearly
Mayeul Marguet - Synchronoss Software Ireland Limited
Kurz: Docker and Kubernetes
Go kombinace praktických cvičení a teorie, Kamil poskytl dobře zaměřené školení přizpůsobené našim potřebám, i když obsah kurzu je velmi široký po dobu 3 dnů.
Synchronoss Software Ireland Limited
Kurz: Docker and Kubernetes
Machine Translated
The subject, and trainer knowledge
Thiqha Business Services
Kurz: Docker, Kubernetes and OpenShift for Developers
Že Brian má dobrou znalost předmětu a dobře vysvětluje
Francisco Demetrio Quitral - IMED S.A
Kurz: Managing Kubernetes with Rancher
Machine Translated
Být schopen vést vše, co se učí a být schopen experimentovat atd.
Kristian Desjardins - Natural Resources Canada (Federal Government)
Kurz: Container management with Docker
Machine Translated
že nám bylo ukázáno, jak se příkazy kubectl odrážejí v rozhraní rančerů a službách AWS, což jasně ukázalo, jak různé části spolupracují.
IMED S.A
Kurz: Managing Kubernetes with Rancher
Machine Translated
Laboratoře a technické diskuse.
Dinesh Panchal - AXA XL
Kurz: Advanced Docker
Machine Translated
The techical knowlegde of the trainer about the subject so he can answer most of the questions.
Synchronoss Software Ireland Limited
Kurz: Docker and Kubernetes
The exercises
Van Tonilin Ramos - Temic Automotive Philippines
Kurz: Docker and Kubernetes
All
Eduardo Darroca Jr - Temic Automotive Philippines
Kurz: Docker and Kubernetes
It never felt like the pace was high but we still managed to cover many topics in only three days. I liked that Adriano did not stop the lecture to have us do labs. The style of trying out commands in the lab environment while watching and listening to the lecture was good in my opinion. Adriano was very flexible to answer questions that came up without getting distracted too much from the current topic.
Bolagsverket
Kurz: Docker and Kubernetes
Všechno
Mikael Larsson Österström - Bolagsverket
Kurz: Docker and Kubernetes
Machine Translated
The teacher has worked with the subject
Bolagsverket
Kurz: Docker and Kubernetes
The material in general. The trainer was very knowledgable.
MDA Systems Ltd.
Kurz: Kubernetes Advanced
Containers and Virtual Machines (VMs) Podkategorie
Containers and Virtual Machines (VMs) Návrh Školení
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to advance their knowledge of Docker so as to deploy applications at a larger scale while maintaining control.
By the end of this training, participants will be able to:
- Build their own Docker images.
- Deploy and manager large number of Docker applications .
- Evaluate different container orchestration solutions and choose the most suitable one.
- Set up a continuous integration process for Docker applications.
- Integrate Docker applications with existing continuous tools integration processes.
- Secure their Docker applications.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Docker is an open-source platform for building, shipping and running applications inside containers. Docker lends itself well to the creation of microservice applications.
In this instructor-led, live training, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Participant knowledge is put to the test through exercises and the step-by-step development of sample microservices.
By the end of this training, participants will be able to:
- Understand the fundamentals of microservices.
- Use Docker to build containers for microservice applications.
- Build and deploy containerized microservices using Spring Cloud and Docker.
- Integrate microservices with discovery services and the Spring Cloud API Gateway.
- Use Docker Compose for end-to-end integration testing.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
By the end of this training, participants will be able to:
- Install and configure Kata Containers.
- Create virtual machines (VMs) that plug into a container ecosystem.
- Overcome the shortcomings of standalone containers and virtual machines.
- Deploy applications on top of lightweight VMs that perform like containers, but provide the workload isolation and security of VMs.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about Kata Containers, please visit: https://katacontainers.io/
This instructor-led, live training (onsite or remote) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes.
By the end of this training, participants will be able to:
- Install and configure Kubeflow on premise and in the cloud.
- Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
- Run entire machine learning pipelines on diverse architectures and cloud environments.
- Using Kubeflow to spawn and manage Jupyter notebooks.
- Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about Kubeflow, please visit: https://github.com/kubeflow/kubeflow
In this instructor-led, live training (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training goes on to more advanced topics, walking participants through the process of securing, networking and monitoring a Kubernetes cluster.
By the end of this training, participants will be able to:
- Set up and run a Docker container.
- Deploy containerized databases and servers.
- Set up a Docker and Kubernetes cluster.
- Use Kubernetes to deploy and manage different environments under the same cluster.
- Secure, scale and monitor a Kubernetes cluster.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice.
Notes
- Different Docker images can be used as demos in this training (e.g., Nginx, MongoDB, Tomcat, etc.).
- To request specific images or any other customization for this training, please contact us to arrange.
By the end of this training, participants will be able to:
- Use Kubernetes to deploy and manage different environments under the same cluster
- Secure, scale and monitor a Kubernetes cluster
Format of the Course
- Interactive lecture and discussion
- Lots of exercises and practice
- Hands-on implementation in a live-lab environment
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS.
By the end of this training, participants will be able to:
- Configure and manage Kubernetes on EKS
- Migrate an existing Kubernetes environment from on-premise to AWS cloud
- Integrate Kubernetes with third-party continuous integration (CI) software
- Ensure high availability and disaster recovery in Kubernetes
- Understand and adopt the tools available to efficiently manage EKS
Audience
- Developers
- System Administrators
- DevOps Engineers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.
By the end of this training, participants will be able to:
- Configure and manage Kubernetes on AKS
- Deploy, manage and scale a Kubernetes cluster
- Deploy containerized (Docker) applications on Azure
- Migrate an existing Kubernetes environment from on-premise to AKS cloud
- Integrate Kubernetes with third-party continuous integration (CI) software
- Ensure high availability and disaster recovery in Kubernetes
Audience
- Developers
- System Administrators
- DevOps Engineers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
Note
- To request a customized training for this course, please contact us to arrange.
Audience
This training is intended for people who are somewhat familiar with container technology and with Kubernetes concepts but are perhaps lacking the real world experience. It is based on use cases, and lessons learnt from real life projects with the intention of making people inspired to create and manage even better cloud native applications.
- Developers
- Operations
- DevOps
- QA Engineers
- IT Project Managers
Format of the Course
- Interactive lecture and discussion
- Lots of exercises and practice
- Handson implementation in a live-lab environment
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to evaluate, select and deploy the most appropriate Kubernetes solution for their specific situation.
By the end of this training, participants will be able to:
- Install and configure a Kubernetes cluster on premise and in the cloud.
- Evaluate different cloud-hosted Kubernetes solutions and understand the advantages over a self-hosted approach.
- Compare different tools for testing, managing, and monitoring a Kubernetes cluster.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to use Moby Project to assemble specialized container systems.
By the end of this training, participants will be able to:
- Assemble their own docker engine by stripping out unnecessary components
- Swap out build systems and volume management functions
- Use Moby tooling to define components (OS, hypervisor, etc.), then pack them into a chosen artifact
- Assemble a sample tiny OS that can be booted straight from bare metal
Audience
- Developers
- DevOps
- System administrators
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
By the end of this training, participants will be able to:
- Install and configure Helm.
- Create reproducible builds of Kubernetes applications.
- Share applications as Helm charts.
- Run third-party applications saved as Helm charts.
- Manage releases of Helm packages.
Format of the course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about Helm, please visit: https://helm.sh/
By the end of this training, participants will be able to:
- Create, configure, manage, and troubleshoot OpenShift clusters
- Secure OpenShift Platform Container
- Monitor and gather metrics
- Manage storage
- Quickly deploy applications on-premise, in public cloud or on a hosted cloud.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how to create, update, and maintain applications using OpenShift Container Platform.
By the end of this training, participants will be able to:
- Automate part of the software delivery pipeline
- Implement user stories for an existing Java EE application
- Deploy an application to an OpenShift instance
- Apply the principles of the DevOps philosophy and enable continuous delivery of an application
Audience
- Developers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how OSv compares to conventional virtualization technologies and approaches as they set up an instance of OSv in a lab environment.
By the end of this training, participants will be able to:
- Run OSv on minimal memory and cpu overhead, compared to traditional OSs
- Install, configure and troubleshoot OSv
- Reduce the size and number of running OS instances
- Run large applications such as Cassandra on OSv
Audience
- System administrators
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
This instructor-led, live training (onsite or remote) is aimed at developers who wish to build, ship, and run containerized applications using PouchContainer.
By the end of this training, participants will be able to:
- Install and configure PouchContainer.
- Set up and run a PouchContainer container.
- Use PouchContainer to deploy and manage containerized applications such as servers and web apps.
- Use the Dragonfly P2P-base distribution system to distribute container images at scale.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about PouchContainer, please visit: https://github.com/alibaba/pouch
By the end of this training, participants will be able to:
- Install and configure Prometheus.
- Monitor dynamic cloud environments
- Gain better insight into their Kubernetes clusters
- Set up alerts that are precise and insightful
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
We understand that the set of topics presented in this course covered a wide range of subjects that might not be applicable for all customers. When booking this course, please specify what you wish to achieve using QEMU or KVM, and we will customize it by reallocating time from less relevant topics to the ones that would be important for you.
This instructor-led, live course provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.
By the end of this course, participants will be able to:
- Install and configure Rancher.
- Launch a Kubernetes cluster using RKE (Rancher Kubernetes Engine).
- Manage multiple cloud Kubernetes clusters while avoiding vendor lock-in.
- Manage Kubernetes clusters using their operating system and container engine of choice.
Format of the Course
- Part lecture, part discussion, heavy hands-on practice
This instructor-led, live training introduces RancherOS's architecture, tools, and components and walks participants step-by-step through the setup of RancherOS in a live lab environment. By the end of this training, participants will have the understanding and practice to use RancherOS to run containers at scale in development, test and production.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This training introduces rkt's architecture and walks participants step-by-step through the deployment of rkt containers in a live lab environment.
Audience
- DevOps engineers
- System administrators
- Software engineers
Format of the course
- Part lecture, part discussion, heavy hands-on practice
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to connect, secure, and manage cloud-based applications (microservices) using an Istio based service mesh.
By the end of this training, participants will be able to:
- Install and configure Istio on Kubernetes.
- Understand service meshes and implement one with Istio.
- Deploy an Istio service mesh on top of Kubernetes.
- Use a service mesh to run, manage and monitor microservices in the cloud.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about Istio, please visit: https://istio.io/
In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud.
By the end of this training, participants will be able to:
- Configure and manage Kubernetes on Google Cloud.
- Deploy, manage and scale a Kubernetes cluster.
- Deploy containerized (Docker) applications on Google Cloud.
- Migrate an existing Kubernetes environment from on-premise to Google Cloud.
- Integrate Kubernetes with third-party continuous integration (CI) software.
- Ensure high availability and disaster recovery in Kubernetes.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- Different Docker images can be used as demos in this training (e.g., Nginx, MongoDB, Tomcat, etc.).
- To request specific images or any other customization for this training, please contact us to arrange.
This training introduces Alpine Linux's architecture and walks participants step-by-step through the setup of Alpine Linux in a live lab environment. By the end of this training, participants will have the knowledge and practice to deploy Alpine Linux as the foundation for running containers in development, test and production environments.
Audience
- DevOps engineers
- System administrators
- Software engineers
Format of the course
- Part lecture, part discussion, heavy hands-on practice
This course teaches the basic usage of Flatpak, useful both for developers and system administrators. The course includes a lot of hands on exercises and the participants will practice in their own environment and build their own Flatpak images.
Audience
- Developers
- Sysadmins
- Managers
Apache Karaf is an OSGi based runtime for deploying containerized applications.
In this instructor-led, live training (onsite or remote), participants will learn how to set up an OSGi based project as they step through the deployment of a modular Java application using Apache Karaf.
By the end of this training, participants will be able to:
- Install and configure Apache Karaf
- Understand the essential features of the OSGi runtime environment
- Develop a containerized application using the Apache Karaf run time environment
Audience
- Architects
- Developers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice.
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, we introduce the architecture, components and processes behind application virtualization and walk participants step-by-step through the deployment of App-V and App-V applications in a live lab environment. By the end of the course, participants will have knowledge and hands-on practice needed to install, configure, administer, and troubleshoot App-V as well as create, package and deploy their own App-V applications.
Format of the course
-
Part lecture, part discussion, exercises and heavy hands-on practice
Notes:
- This course covers version 5.1 of App-V. For training on a different version, please contact us to arrange.
In this instructor-led, live training, we cover advanced techniques and troubleshooting for Microsoft Application Virtualization (App-V), especially in the area of sequencing and packaging.
By the end of the course, participants will have a deep understanding of App-V and be able to sequence, troubleshoot and resolve complex issues.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Notes:
- This course covers version 5.1 of App-V. If you need training on a different version, please contact us to arrange.
- This course is focused on App Virtualization and does not cover other MDOP components.
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to network Kubernetes clusters using a simplified IP routing based approach.
By the end of this training, participants will be able to:
- Install and configure Calico.
- Use Calico to create a container networking solution for Kubernetes clusters.
- Understand how Calico differs from traditional overlay networks.
- Understand how Calico combines internet routing protocols with consensus-based data stores.
- Use Calico to provide a secure network policy for Kubernetes.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about Project Calico, please visit: https://www.projectcalico.org/