Local, instructor-led live Kubernetes training courses demonstrate through interactive discussion and hands-on practice how to deploy, manage and scale containerized applications in a clustered environment.
Kubernetes training is available as "onsite live training" or "remote live training". Luxembourg onsite live Kubernetes trainings can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.
Kubernetes training courses cover container basic and advanced container networking, administration and development and demonstrate real-world use cases, including the microservice development.
NobleProg -- Your Local Training Provider
Testimonials
The quantity of live demonstrations of the technology was really good.
Course: Docker and Kubernetes
Hands-on experience.
Viorel Tabara
Course: Docker and Kubernetes
structure made sense and labs worked very well
nbnco
Course: Docker and Kubernetes
knowledge and willingness of Anil
nbnco
Course: Docker and Kubernetes
just getting a good intro to Kubernetes
Applied Systems, Inc.
Course: Kubernetes from Basic to Advanced
new topic - always good to learn something new
Michael Legg - Applied Systems, Inc.
Course: Kubernetes from Basic to Advanced
Trainer was very knowledgeable and engaged in answering questions and troubleshooting issues that came up for everyone.
Applied Systems, Inc.
Course: Kubernetes from Basic to Advanced
Presentation and knowledge of trainer
Sopra Steria
Course: Docker, Kubernetes and OpenShift for Administrators
Adriano studied the subject very deeply which is the style i mostly prefer ie: less about the commands more on the mechanism behind it. Discussed scenarios were well supported by the practical examples which helped a lot to understand the presented stuff.
Mariusz BANASZCZYK - Sopra Steria
Course: Docker, Kubernetes and OpenShift for Administrators
Very professional yet warm instructor, Adriano is excellent. Clear examples, great knowledge of subject matter, and great patience :) the course material is great, and is designed to give a thorough introduction to Docker and Kubernetes.
Abdullah Damluji - TriOptima AB
Course: Docker and Kubernetes
Real world example provided by the trainer to facilitate the understanding.
Defence Science & Technology Agency
Course: 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
Course: Docker and Kubernetes
Trainer knew the subject very well. Was able to improvise when needed. Really good exercises.
TriOptima AB
Course: Docker and Kubernetes
Kamil was very knowledgeable about the topic!
Martin Barksten - TriOptima AB
Course: Docker and Kubernetes
That the trainer was able to adapt to specific questions/situations
Inforit BV
Course: Kubernetes on Azure (AKS)
There are plenty of hands-on exercises which help me understand the subject better.
Credit Suisse
Course: 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
Course: Docker and Kubernetes
clear explanation and with practices for each topics
Credit Suisse
Course: Docker and Kubernetes
the pace and the teaching flow
George Jor - Credit Suisse
Course: Docker and Kubernetes
Relaxed pace and good structure
Rohan Madhwal - Credit Suisse
Course: 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
Course: Docker and Kubernetes
The tutor is very interactive, responsive and knowledgeable.
Credit Suisse
Course: Docker and Kubernetes
The labs and the discussion.
Synchronoss Software Ireland Limited
Course: Docker and Kubernetes
Relaxed, easy going pace.
Synchronoss Software Ireland Limited
Course: Docker and Kubernetes
The exercise VMs were working quite well.
Philippe DEPRUGNEY - Synchronoss Software Ireland Limited
Course: Docker and Kubernetes
Resources preparation (VMs and such) and the ability to answer questions
Synchronoss Software Ireland Limited
Course: 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
Course: 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
Course: Docker and Kubernetes
The hands on exercises
Synchronoss Software Ireland Limited
Course: Docker and Kubernetes
Kamil brought us all from Docker and Kubernetes novices to confident users (if not SMEs!) in just 3 days. He was always approachable and patient in answering my questions. A true gent.
Patrick Kennedy - Synchronoss Software Ireland Limited
Course: Docker and Kubernetes
Exercises, practical questions answered clearly
Mayeul Marguet - Synchronoss Software Ireland Limited
Course: Docker and Kubernetes
Good mix of practical exercises and theory, Kamil gave well focussed training tailored to our needs, even though the course content is very wide for 3 days.
Synchronoss Software Ireland Limited
Course: Docker and Kubernetes
The subject, and trainer knowledge
Thiqha Business Services
Course: Docker, Kubernetes and OpenShift for Developers
The techical knowlegde of the trainer about the subject so he can answer most of the questions.
Synchronoss Software Ireland Limited
Course: Docker and Kubernetes
The exercises
Van Tonilin Ramos - Temic Automotive Philippines
Course: Docker and Kubernetes
All
Eduardo Darroca Jr - Temic Automotive Philippines
Course: 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
Course: Docker and Kubernetes
all
Mikael Larsson Österström - Bolagsverket
Course: Docker and Kubernetes
The teacher has worked with the subject
Bolagsverket
Course: Docker and Kubernetes
The material in general. The trainer was very knowledgable.
MDA Systems Ltd.
Course: Kubernetes Advanced
The trainer's way to explain the subject and who to make the concept very simple.
Faten AlDawish - TAMKEEN TECHNOLOGIES COMPANY
Course: Docker and Kubernetes: Building and Scaling a Containerized Application
labs and doubts clarification
venkata velpuri - Charter Communications INC
Course: Kubernetes from Basic to Advanced
Handson training.
Charter Communications INC
Course: Kubernetes from Basic to Advanced
Did not felt any where bored during the training session.
Charter Communications INC
Course: Kubernetes from Basic to Advanced
Fantastic delivery of the training, really enjoyable and all round good vibe throughout
Chris Brant - Hewlett Packard Enterprise
Course: Docker and Kubernetes
We did small examples. I have seen a lot of huge config files and they always looked overwhelming. It was really nice to see small examples!
Marcus Nordberg - TriOptima AB
Course: Docker and Kubernetes
Kamil's attitude and knowledge. Very friendly, highly knowledgeable about the subject, great listener.
TriOptima AB
Course: Docker and Kubernetes
Kamil's expertise and patience while guiding me through some complex topics. His ability to spontaneously answer some difficult questions that I had about the material. I'd give him an A++.
Course: Docker and Kubernetes
the intro and the structure of the slides
Abraxas Informatik AG
Course: Managing Kubernetes with Rancher
Deep expertise of the faculty
Course: Creating a Service Mesh with Istio and Kubernetes
The quantity of live demonstrations of the technology was really good.
Course: Docker and Kubernetes
Kamil's expertise and patience while guiding me through some complex topics. His ability to spontaneously answer some difficult questions that I had about the material. I'd give him an A++.
Course: Docker and Kubernetes
Deep expertise of the faculty
Course: Creating a Service Mesh with Istio and Kubernetes
Kubernetes Subcategories in Luxembourg
Kubernetes Course Outlines in Luxembourg
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
This instructor-led, live training in Luxembourg (onsite or remote) is aimed at engineers who wish to optimize networking for Kubernetes clusters.
By the end of this training, participants will be able to:
- Install and configure Calico.
- Understand how Calico differs from traditional overlay networks.
- Understand how Calico combines internet routing protocols with consensus-based data stores.
- Use Calico to create a container networking solution for Kubernetes clusters.
- Use Calico to provide network policy for Kubernetes.
By the end of this training, participants will be able to:
- Install and configure Calico.
- Understand how Calico differs from traditional overlay networks.
- Understand how Calico combines internet routing protocols with consensus-based data stores.
- Use Calico to create a container networking solution for Kubernetes clusters.
- Use Calico to provide network policy for Kubernetes.
21 hours
Overview
This instructor-led, live training in Luxembourg (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on Azure.
- Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on Azure.
- Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
7 hours
Overview
This instructor-led, live training (onsite or remote) is aimed at system administrators and developers who wish to use Prometheus to monitor Kubernetes clusters.
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.
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.
21 hours
Overview
This instructor-led, live training in Luxembourg (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.
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.
21 hours
Overview
OpenShift Container Platform is a container application platform for deploying Docker and Kubernetes in the enterprise. It is maintained by Red Hat.
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 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
21 hours
Overview
In this instructor-led, live training, participants will learn how to install, configure, and manage OpenShift Platform Container.
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
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
14 hours
Overview
This instructor-led, live training (onsite or remote) is aimed at DevOps engineers who wish to use MicroK8s as a reliable k8s for CI/CD operations.
By the end of this training, participants will be able to:
- Build a Kubernetes system from scratch.
- Create and deploy containers with MicroK8s.
- Automate CI/CD operations in MicroK8s.
By the end of this training, participants will be able to:
- Build a Kubernetes system from scratch.
- Create and deploy containers with MicroK8s.
- Automate CI/CD operations in MicroK8s.
14 hours
Overview
This instructor-led, live training in Luxembourg (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 an self-hosted approach.
- Compare different tools for testing, managing, and monitoring a Kubernetes cluster.
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 an self-hosted approach.
- Compare different tools for testing, managing, and monitoring a Kubernetes cluster.
14 hours
Overview
This instructor-led, live training in Luxembourg (onsite or remote) is aimed at DevOps engineers who wish to use Kubernetes and Gitlab to automate the DevOps lifecycle.
By the end of this training, participants will be able to:
- Automate application builds, tests, and deployments.
- Create an automated build infrastructure.
- Deploy an application to a containerized cloud environment.
By the end of this training, participants will be able to:
- Automate application builds, tests, and deployments.
- Create an automated build infrastructure.
- Deploy an application to a containerized cloud environment.
21 hours
Overview
The evolution of microservices and containers in recent years has significantly changed how we design, develop, deploy and run software. Modern applications must be optimized for scalability, elasticity, failure, and change. Driven by these new demands, modern architectures require a different set of patterns and practices. In this training, we examine ways to identify, understand and adjust to these new requirements.
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.
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.
14 hours
Overview
Azure Kubernetes Service (AKS) is a hosted Kubernetes service that simplifies the deployment and management of a Kubernetes cluster in Azure.
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.
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.
14 hours
Overview
EKS is a self-managed Kubernetes-as-a-service offering from AWS. EKS is fully scalable and customizable and allows a Kubernetes deployment to mimic and/or integrate with an existing on-premise Kubernetes setup.
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 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.
14 hours
Overview
This instructor-led, live training (onsite or remote) is aimed at engineers wishing to automate, secure, and monitor containerized applications in a large-scale Kubernetes cluster.
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.
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.
14 hours
Overview
In this instructor-led, live training in Luxembourg (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.
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.
21 hours
Overview
This instructor-led, live training in Luxembourg (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to Google Cloud Platform (GCP).
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on GCP and GKE.
- Use GKE (Kubernetes Kubernetes Engine) to simplify the work of initializing a Kubernetes cluster on GCP.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other GCP services to extend an ML application.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on GCP and GKE.
- Use GKE (Kubernetes Kubernetes Engine) to simplify the work of initializing a Kubernetes cluster on GCP.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other GCP services to extend an ML application.
21 hours
Overview
This instructor-led, live training in Luxembourg (onsite or remote) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
14 hours
Overview
This instructor-led, live training in Luxembourg (onsite or remote) is aimed at engineers who wish to set up, deploy and manage a non-Docker container runtime within Kubernetes.
By the end of this training, participants will be able to:
- Install and configure the CRI plugin API for Kubernetes.
- Understand the Open Container Initiative (OCI) standards that insure interoperability among different runtimes.
- Run different (Docker and non-Docker) runtimes from within Kubernetes.
- Implement lightweight virtualization and other isolation techniques to increase security.
By the end of this training, participants will be able to:
- Install and configure the CRI plugin API for Kubernetes.
- Understand the Open Container Initiative (OCI) standards that insure interoperability among different runtimes.
- Run different (Docker and non-Docker) runtimes from within Kubernetes.
- Implement lightweight virtualization and other isolation techniques to increase security.
21 hours
Overview
This instructor-led, live training in Luxembourg (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.
- 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.
By the end of this training, participants will be able to:
- Install and configure Kubeflow.
- 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.
14 hours
Overview
This instructor-led, live training in Luxembourg (onsite or remote) is aimed at cloud engineers who wish to use Kubernetes and Spinnaker for CI/CD operations.
By the end of this training, participants will be able to:
- Build on the Kubernetes platform to accelerate cloud targeted deployments.
- Integrate Spinnaker with Docker and Git for automating code to pipelines.
- Automate and manage CD pipelines with CI tool options.
By the end of this training, participants will be able to:
- Build on the Kubernetes platform to accelerate cloud targeted deployments.
- Integrate Spinnaker with Docker and Git for automating code to pipelines.
- Automate and manage CD pipelines with CI tool options.
14 hours
Overview
This instructor-led, live training in Luxembourg (onsite or remote) is aimed at engineers who wish to connect, secure, and manage cloud-based applications (e.g., 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 to 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.
By the end of this training, participants will be able to:
- Install and configure Istio on Kubernetes.
- Understand service meshes and to 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.
7 hours
Overview
This instructor-led, live training in Luxembourg (onsite or remote) is aimed at engineers who wish to use Helm to streamline the process of installing and managing Kubernetes applications.
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.
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.
14 hours
Overview
In this instructor-led, live training in Luxembourg, 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.
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.
21 hours
Overview
This instructor-led, live training in Luxembourg (onsite or remote) is aimed at DevOps engineers who wish to set up, deploy and manage a Git-based software deployment workflow for their Kubernetes applications.
By the end of this training, participants will be able to:
- Install and configure Spinnaker and Terraform.
- Understand the benefits of GitOps over traditional CI/CD and Infrastructure-as-Code (IAC).
- Move away from maintaining scripts. Configure and execute well-defined deployment process.
- Apply best practices for cloud-native deployment, management, and monitoring.
- Recover deployments from partial failures without manual intervention.
- Create a GitOps strategy for application development.
By the end of this training, participants will be able to:
- Install and configure Spinnaker and Terraform.
- Understand the benefits of GitOps over traditional CI/CD and Infrastructure-as-Code (IAC).
- Move away from maintaining scripts. Configure and execute well-defined deployment process.
- Apply best practices for cloud-native deployment, management, and monitoring.
- Recover deployments from partial failures without manual intervention.
- Create a GitOps strategy for application development.
35 hours
Overview
In this instructor-led, live training in Luxembourg, participants will learn how to manage containers running on Docker, Kubernetes, and the Red Hat OpenShift Container Platform (OpenShift).
By the end of this training, participants will be able to:
- Create and configure an OpenShift setup.
- Quickly deploy applications on-premise, in public cloud or on a hosted cloud.
By the end of this training, participants will be able to:
- Create and configure an OpenShift setup.
- Quickly deploy applications on-premise, in public cloud or on a hosted cloud.
21 hours
Overview
This Docker and Kubernetes training course is designed to provide attendees with a comprehensive foundation of Docker and Kubernetes technologies. The entire core features of Kubernetes is covered including, Pods, Labels, Volumes, Replication Controllers, Services and more. The course takes attendees from installation to management and usage through a combination of lecture and hands-on lab exercises where they will gain experience configuring and managing Kubernetes objects. In addition, this course will give attendees a solid understanding of Kubernetes including advanced features and security to run safety a Kubernetes cluster in production.
This course is for people and teams that want to learn Kubernetes foundation and containers orchestration requirements to build services that are secure, robust, highly available, resilient and self-healing:
· Developers
· Operations
· DevOps
· QA Engineers
· IT Project Managers
This course is for people and teams that want to learn Kubernetes foundation and containers orchestration requirements to build services that are secure, robust, highly available, resilient and self-healing:
· Developers
· Operations
· DevOps
· QA Engineers
· IT Project Managers
14 hours
Overview
The objective of this practical course is to provide all the tools that address the practical aspects of Docker and Kubernetes, in order that the participants can count on the necessary skills for the proper management of the program.
21 hours
Overview
In this instructor-led, live training in Luxembourg (onsite or remote), 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.
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.
35 hours
Overview
In this instructor-led, live training in Luxembourg, participants will learn how to manage containers running on Docker, Kubernetes, and the Red Hat OpenShift Container Platform.
By the end of this training, participants will be able to:
- Create, configure, manage, and troubleshoot OpenShift clusters.
- Scale application deployments using Kubernetes.
- Secure OpenShift Platform Container.
- Monitor and gather metrics.
- Manage storage.
- Quickly deploy applications on-premise, in public cloud or on a hosted cloud.
By the end of this training, participants will be able to:
- Create, configure, manage, and troubleshoot OpenShift clusters.
- Scale application deployments using Kubernetes.
- Secure OpenShift Platform Container.
- Monitor and gather metrics.
- Manage storage.
- Quickly deploy applications on-premise, in public cloud or on a hosted cloud.
21 hours
Overview
This instructor-led, live training (onsite or remote) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization.
By the end of this training, participants will be able to:
- Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
- Set up, configure and deploy a series of demo containers using a number of different approaches.
- Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
- Automate the deployment of Docker containers.
- Set up a continuous integration and deployment pipeline.
- Integrate Docker and Kubernetes into an existing continuous integration system.
By the end of this training, participants will be able to:
- Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
- Set up, configure and deploy a series of demo containers using a number of different approaches.
- Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
- Automate the deployment of Docker containers.
- Set up a continuous integration and deployment pipeline.
- Integrate Docker and Kubernetes into an existing continuous integration system.
14 hours
Overview
This instructor-led, live training (onsite or remote) is aimed at engineers wishing to run containerized applications using the CRI-O container runtime.
By the end of this training, participants will be able to:
- Install and configure the CRI-O container runtime.
- Pull images from a variety of OCI-compliant registries.
- Run, test and manage containerized applications using CRI-O.
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 CRI-O, please visit: http://cri-o.io/.
By the end of this training, participants will be able to:
- Install and configure the CRI-O container runtime.
- Pull images from a variety of OCI-compliant registries.
- Run, test and manage containerized applications using CRI-O.
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 CRI-O, please visit: http://cri-o.io/.
Upcoming Kubernetes Courses in Luxembourg
2020-05-27 09:30:00
Luxembourg, Place de la Gare
21 hours
2020-06-04 09:30:00
Luxembourg, Place de la Gare
14 hours
2020-07-29 09:30:00
Luxembourg, Place de la Gare
14 hours
2020-09-17 09:30:00
Luxembourg, Place de la Gare
14 hours
2020-11-09 09:30:00
Luxembourg, Place de la Gare
14 hours
Other regions in Luxembourg
Other countries
Consulting in Luxembourg
Weekend Kubernetes courses, Evening Kubernetes training, Kubernetes boot camp, Kubernetes instructor-led, Weekend Kubernetes training, Evening Kubernetes courses, Kubernetes coaching, Kubernetes instructor, Kubernetes trainer, Kubernetes training courses, Kubernetes classes, Kubernetes on-site, Kubernetes private courses, Kubernetes one on one training
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